Timeline
By publication date (extraction date when unknown).
2026-10
- Guillaume Barrois' Post Guillaume Barrois source ↗ Reader 🖥️
- Redefining the Software Engineering Profession for AI Mark Russinovich and Scott Hanselman source ↗ Reader 🖥️
- DevOps Topologies Matthew Skelton (devopstopologies.com) source ↗ Reader 🖥️
- AI Development Patterns Paul Duvall source ↗ Reader 🖥️
- Alex Ewerlöf's Post Alex Ewerlöf source ↗ Reader 🖥️
- 12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer AI Engineer Reader 🖥️
- Advanced Context Engineering for Coding Agents (ace-fca.md) Dex Horthy (HumanLayer) source ↗ Reader 🖥️
- Kent Beck's Post Kent Beck source ↗ Reader 🖥️
- Agent Skills: Bridging AI and Senior Engineer Practices Addy Osmani source ↗ Reader 🖥️
- #ai #programming #softwareengineering | Addy Osmani | 11 comments Addy Osmani source ↗ Reader 🖥️
- Agent-First Engineering: 9 Playbook Tips for a Zero-Human-Code Future Avi Pilcer Reader 🖥️
- Guide to scaling engineering organizations stripe.com source ↗ Reader 🖥️
- Reverse Engineering your Software Architecture with Claude Code to Help Claude Code Nick Tune Reader 🖥️
- Erik van der Pluijm's Post Erik van der Pluijm source ↗ Reader 🖥️
2026-09
- AI + Teams = ? Marcus Castenfors source ↗ Reader 🖥️
- Case Study: Refactoring at Scale with Agents codescene.com source ↗ Reader 🖥️
- Nils Brede Moe's Post Nils Brede Moe Reader 🖥️
- Cloudflare Cuts 100 TB of Memory from 1.1.1.1 DNS Cache Leela Kumili Reader 🖥️
- Article: Modular Edge Computing at Multi-Tenant SaaS Scale on Cloudflare Workers Chintan Tank Reader 🖥️
- Graphify: Unifying Codebase Context to Streamline Agentic Software Engineering Olimpiu Pop Reader 🖥️
- Closing the Gap Between AI Investment and Financial Return David L. Rogers, Krishnan Sankaranarayanan Reader 🖥️
- Dare to Be Bad at Something (From Fixable) Fixable (TED Audio Collective / Pushkin Industries), hosts Anne Morriss and Frances Frei; syndicated via the HBR Podcast Network / Cold Call feed Reader 🖥️
- Our Favorite Management Tips on Building Influence HBR Editors Reader 🖥️
- Beyond Kubernetes at Modal: How to Scale 1 Million Concurrent Sandboxes in Seconds Sergio De Simone Reader 🖥️
- Presentation: APIs for Agents: Rethinking API Programs in the MCP Era Jim Gough, Andreea Niculcea Reader 🖥️
- Maya Knight's Post Maya Knight Reader 🖥️
- Podcast: Securing AI Agents: Identity, Authorization, and the DPACT Framework Sahil Agarwal source ↗ Reader 🖥️
- MCP Is Not Just Another API Standard Balaji Venkatasubramaniyar Reader 🖥️
- AI Sovereignty: Bargaining with Big Tech and the Promise of Full Stack Open Source AI Nicole Butterfield Reader 🖥️
- Why Developer Portals Must Evolve in the AI Agent Age Kristopher Sandoval source ↗ Reader 🖥️
- GitLab Duo Expands Self-Hosted AI Options Through Microsoft Foundry Craig Risi source ↗ Reader 🖥️
- Google Open-Sources AX a Kubernetes Style Orchestrator for Autonomous AI Agents Olimpiu Pop source ↗ Reader 🖥️
- The More Accessible Information Is, the Less Employees Remember Esther Kang Reader 🖥️
- What New CEOs Get Wrong About the Job HBR IdeaCast (hosts Alison Beard, Adi Ignatius; guest Nitin Nohria) source ↗ Reader 🖥️
- What to Do When There's Too Much Work Gretchen Gavett Reader 🖥️
- Presentation: Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering David Gudeman source ↗ Reader 🖥️
- Measuring AI's Unintended Consequences James Shore Reader 🖥️
- The Work Behind Delegation: A Framework for Supervising AI Coding Agents Yeon Su Park; Nadia Arvi; Hae Ri Lee; Sehoon Lim; Qianou Ma; Juho Kim Reader 🖥️
- Hear me out: Agentic TPMs (Technical Program Managers) Steve Yegge source ↗ Reader 🖥️
- Cloudflare Introduces the Agent Development Lifecycle to Replace Traditional SDLC Olimpiu Pop source ↗ Reader 🖥️
- Equity Can Motivate Frontline Employees—If They See Their Impact on the Bottom Line Avery Forman source ↗ Reader 🖥️
- The Post-training Process OpenAI Used for ChatGPT Sharon Zhou Reader 🖥️
- Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents Vinoth Govindarajan source ↗ Reader 🖥️
- TypeSafe AI's Jev offers an alternative to LLMs that claims to be 193x faster and 445x cheaper — System One type model is bespoke for probabilistic decision-making tomshardware.com source ↗ Reader 🖥️
- Research: The True Cost of Corporate Scandals? Talent. Forrest Briscoe, Mark DesJardine source ↗ Reader 🖥️
- Writing vs. Thinking Masoud Bahrami Reader 🖥️
- Zero to Agent in 30 Minutes: Build a Sports Concierge Agent with Chester Ismay Michelle Smith Reader 🖥️
- Bun Rewrites 535K Lines of Zig into Rust in Four Months, Eliminates Numerous Memory Leaks Bruno Couriol source ↗ Reader 🖥️
- TBM 440: The Problem With Putting People in Boxes John Cutler Reader 🖥️
- Measuring AI's Impact on Delivery Speed James Shore Reader 🖥️
- Introducing System One Models & Jev typesafe.ai source ↗ Reader 🖥️
- Agentic AI and Code Reviews Zach Davis, Michelle Gill, Elisabeth Hendrickson, Angie Jones, Sha Ma, Randy Shoup, James Wickett source ↗ Reader 🖥️
- Presentation: A Few Predicted Talks From QConAI 2030 Meryem Arik source ↗ Reader 🖥️
- This Is How To Find Meaning In Life: 5 Secrets From Research Eric Barker Reader 🖥️
- Podcast: How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman Michael Stiefel (host) with Scott Hanselman (guest, VP, Microsoft/GitHub) Reader 🖥️
- When Persuasion Is (and Isn't) Manipulation Eben Harrell (interviewing Colin Marshall) source ↗ Reader 🖥️
- Stop Automating Old Processes. Design New Ones Instead. Masha Shunko and Serguei Netessine source ↗ Reader 🖥️
- Open-Source Project Brings Full iOS 27 Virtualization to Apple Silicon Sergio De Simone Reader 🖥️
- Enterprise Analytics Beyond Dashboards: Intelligent Data Orchestration with LLMs Nitesh Khapekar Reader 🖥️
- Meta Open-Sources Astryx, Its Agent-Ready React Design System Bruno Couriol source ↗ Reader 🖥️
- Brownfield Agentic Engineering Addy Osmani source ↗ Reader 🖥️
- Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills Alex Porcelli Reader 🖥️
- Article: Implementing Durable Workflows on Postgres Without an External Orchestrator Raman Varma Reader 🖥️
- GitHub Copilot's Project HydraFusion Promises Frontier Level Performance Through Multi-Model Routing Olimpiu Pop Reader 🖥️
- Andreessen Horowitz's Post Andreessen Horowitz (content by Anish Acharya) Reader 🖥️
- Adrien Taravant's Post Adrien Taravant Reader 🖥️
- Collective problem solving in music, art, science, and software Jessitron Reader 🖥️
- Do you even need a presentation? Sumeet Gayathri Moghe (byline metadata reads Martin Fowler; published as first article of a guest series on martinfowler.com, editorially reviewed by Fowler) Reader 🖥️
- Jimmy Acton's Post Jimmy Acton Reader 🖥️
- John Cutler's Post John Cutler source ↗ Reader 🖥️
- Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs Cassie Shum source ↗ Reader 🖥️
- LLMs Reward Expertise Sean Goedecke source ↗ Reader 🖥️
- Pim de Morree's Post Pim de Morree Reader 🖥️
- Beyond the 200 OK: Architecting Observability for AI Adriano Mota source ↗ Reader 🖥️
- Presentation: How To Run on Three Clouds at Once, and When Not To Ross McFarlane, Kevin Holditch source ↗ Reader 🖥️
- How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation Claudio Masolo source ↗ Reader 🖥️
- NVIDIA Personal AI Router Distributes AI Tasks Across Local Compute Sergio De Simone source ↗ Reader 🖥️
- Operating Mode as Runtime State: A Contract for Enterprise Shreshta Shyamsundar and Chidambaram GS source ↗ Reader 🖥️
- Session Traces and Cost Controls Help Diagnose AI Agent Failures Mark Silvester source ↗ Reader 🖥️
- TBM 439: Day At The Gig... John Cutler from The Beautiful Mess Reader 🖥️
- The AI safety vibe shift Casey Newton source ↗ Reader 🖥️
- The habit that makes AI worth using Ernie Svenson Reader 🖥️
- The Interfaces Are Arriving Tommy Tran source ↗ Reader 🖥️
- The Questions You Should Be Asking About the AI Bubble Philipp Carlsson-Szlezak and Paul Swartz (BCG) source ↗ Reader 🖥️
- Beyond Autonomous Teams in Software Product Development Ben Linders source ↗ Reader 🖥️
- Presentation: Accelerating Performance by Incrementally Integrating Rust Into Existing Codebase Lily Mara source ↗ Reader 🖥️
- Is Your Strategic Plan Too Ambitious? Or Not Ambitious Enough? Rebecca Knight source ↗ Reader 🖥️
- Generative AI in the Real World: Local Voice AI with Pete Warden Ben Lorica and Pete Warden Reader 🖥️
- OpenAI Releases GPT-6 Astra for Coding and Computer Use Daniel Dominguez source ↗ Reader 🖥️
- When Content Is Free, Trust Is the Product Julie Baron source ↗ Reader 🖥️
- Article: When Spec-Driven Development Pays Off Nitin Garg source ↗ Reader 🖥️
- AI Is Changing the Rules of Entrepreneurship Victor P. Seidel, Bret Greenstein, Thomas H. Davenport source ↗ Reader 🖥️
- Azure Virtual Desktop Hybrid Reaches GA with Licensing Details Unpublished Steef-Jan Wiggers source ↗ Reader 🖥️
- Presentation: Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server Felipe Huici source ↗ Reader 🖥️
- Meta's Recipe for Building Agents as "Organizational Second Brains" Sergio De Simone source ↗ Reader 🖥️
- Coherence, Connections, and… Spacetime Crystals Art Anthony source ↗ Reader 🖥️
- Own the Outer Loop Addy Osmani source ↗ Reader 🖥️
- To Adopt AI at Scale, Employees Need to Trust Agents Thomas McKinlay, Stefano Puntoni, Serkan Saka source ↗ Reader 🖥️
- Article: Implementing Chaos Engineering in Financial Payment Systems: Lessons from Enterprise ECS Deployments Salim Adedeji source ↗ Reader 🖥️
- GitLab Warns That AI Agent Sandboxes Are Only as Secure as Their Network Access Craig Risi Reader 🖥️
- Is Your AI Training the Competition? William Marks source ↗ Reader 🖥️
- A Leading Restaurateur on What It Takes to Scale a Winning Culture Danny Meyer (guest); HBR IdeaCast / Alison Beard, Adi Ignatius (hosts) source ↗ Reader 🖥️
- Welcome to AI Autumn Gretchen Gavett source ↗ Reader 🖥️
- Presentation: Platform Engineering in the Age of AI Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio source ↗ Reader 🖥️
- Experience Mapping Matters More the Faster You Move Jim Kalbach Reader 🖥️
- Zero to Agent in 30 Minutes: Build a Supply Chain for Agent Context with Maxim Salnikov Michelle Smith source ↗ Reader 🖥️
- Worse is better: C# versus F# Mark Seemann source ↗ Reader 🖥️
- Are You Getting Your Money's Worth from AI? James Shore Reader 🖥️
- The AI agent that shows up before you ask Ernie Svenson Reader 🖥️
- The oldest architecture in computing Dr. Werner Vogels source ↗ Reader 🖥️
- When AI can do more than we can check Christian Catalini Reader 🖥️
- Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation Zhou Yu source ↗ Reader 🖥️
- How Anthropic Builds And How Engineering Will Change Soon | Thariq Shihipar Ryan Peterman Reader 🖥️
- "Our model is the most aligned yet!" 🤗 Malor777 Reader 🖥️
- Netflix Moves Toward Open Source Flink Autoscaler for 30,000+ Streaming Jobs Leela Kumili source ↗ Reader 🖥️
- vlt 1.0 Ships as a Drop-in npm Replacement with Phased Installs, Graph Queries, and Malware-Blocking Daniel Curtis source ↗ Reader 🖥️
- How Figma Uses AI Agents for Security Renato Losio source ↗ Reader 🖥️
- Google Mantis: An Agentic Vulnerability Scanning Harness for Reducing False Positives Sergio De Simone Reader 🖥️
- Beyond Zero: Google Publishes Successor to BeyondCorp Renato Losio source ↗ Reader 🖥️
- TBM 438: Am I the Only Weirdo in This Company? John Cutler from The Beautiful Mess Reader 🖥️
- You can have a conversation with Thinking in Bets now Thinking in Bets Reader 🖥️
- From AI Code to Trusted Software: Harness Engineering in Practice Travis Frisinger Reader 🖥️
- Inside a Software Factory Paul Iusztin Reader 🖥️
- The person your firm needs and cannot name Ernie Svenson Reader 🖥️
- Portal by Spotify cut my Claude Code token usage by 90% Dimitri Mazmanov source ↗ Reader 🖥️
- TBM 437: AI and the Recontextualization Tax John Cutler Reader 🖥️
- Practices I Abandoned with Agents: An Ode to Test-Driven Development Adam Tornhill source ↗ Reader 🖥️
- All models, no matter how smart, will eventually build systems... Steve Yegge Reader 🖥️
- Reject Change, Sometimes Kent Beck Reader 🖥️
- How to turn your AI into a world-class designer Anshu Chimala Reader 🖥️
- Andrew Kelley Interview: Why He Built Zig, Banned AI Contributions, and Moved Zig off GitHub Bruno Couriol Reader 🖥️
2026-08
- Agentic Skill Decay AddyOsmani.com source ↗ Reader 🖥️
- Loop Engineering: Building Blocks, Adoption, and Impact Jai Lal Lulla; Vahram Nersesyan; Seyedmoein Mohsenimofidi; Christoph Treude; Sebastian Baltes Reader 🖥️
- Audit your Agent files AddyOsmani.com source ↗ Reader 🖥️
- Human Oversight Is Not a Human in the Loop Gustavo Bataller Reader 🖥️
- The AI-Native SDLC playbook Louis Claxton source ↗ Reader 🖥️
- Human judgment doesn't leave the software factory. It relocates. Addy Osmani source ↗ Reader 🖥️
- AI Is Undermining Leaders’ Judgment. Here’s What to Do About It. Leonid Sudakov, Nathan Furr source ↗ Reader 🖥️
- An LLM wiki changed how I work Casey Newton source ↗ Reader 🖥️
- Anders Aukland's Post Anders Aukland Reader 🖥️
- Is Your Organizational Culture Too Nice? Ron Ashkenas, Gali Cooks source ↗ Reader 🖥️
- Living and Working in the Age of Longevity HBR.org source ↗ Reader 🖥️
- Multi Agent Collaboration Gets Persistent Compute in Bedrock AgentCore Matt Saunders source ↗ Reader 🖥️
- LIVE: Uncle Bob on Software Fundamentals in the Age of AI Matt Pocock (host) with Robert C. Martin ('Uncle Bob') source ↗ Reader 🖥️
- Presentation: Understanding Progressive Collapse: How To Avoid A Cascading Failure Sam Newman source ↗ Reader 🖥️
- When Guardrails Go Wrong Mike Loukides source ↗ Reader 🖥️
- When Your Buyer Is an AI Agent Rudrendu Paul and Sourav Nandy source ↗ Reader 🖥️
- Can an AI-Powered Scribe Curb Physician Burnout? HBR.org source ↗ Reader 🖥️
- Cloudflare WriteGuard Brings Fine-Grained Security Controls for MCP Servers Sergio De Simone source ↗ Reader 🖥️
- Forsvaret med egen data-grunnlov Silje Rognsvåg Reader 🖥️
- Presentation: From Fab To Token - The State Of The Market Jordan Nanos source ↗ Reader 🖥️
- Major Frontier Model Providers Adopt Watermarking Tech to Comply with EU Regulation Olimpiu Pop source ↗ Reader 🖥️
- GitHub Brings Stacked Pull Requests to Public Preview Craig Risi source ↗ Reader 🖥️
- Is Open-Source AI Really the Dangerous Path? Raffi Krikorian source ↗ Reader 🖥️
- Netflix Open-Sources Agentic Workflow for Causal Inference Anthony Alford source ↗ Reader 🖥️
- Research: What Physical Retail Stores Deliver in a Digital Economy Ayşe Çetinel, Gürhan Kök, Robert Rooderkerk source ↗ Reader 🖥️
- Strategy Making Gets an AI Boost Gretchen Gavett Reader 🖥️
- Zero to Agent in 30 Minutes: From Prompting to Loop Engineering with Ofer Mendelevitch Michelle Smith source ↗ Reader 🖥️
- Podcast: Will Agentic AI Bring Fantasia's Sorcerer's Apprentice to Life?: A Conversation with Tracy Bannon Tracy Bannon source ↗ Reader 🖥️
- Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy source ↗ Reader 🖥️
- Cloudflare Turns CI Pipelines into TypeScript Workflows Mark Silvester source ↗ Reader 🖥️
- Presentation: From Thousands to One: Building LLM-Powered Selection Systems Jendrik Jördening source ↗ Reader 🖥️
- Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents Leela Kumili source ↗ Reader 🖥️
- How the Best Leaders Shape Conversations Alison Wood Brooks, Andy Atkins source ↗ Reader 🖥️
- How to Respond to the Coming AI Cost Shock Stacia Garr source ↗ Reader 🖥️
- JEP 540 Proposed to Target JDK 28 with a Simple JSON API A N M Bazlur Rahman source ↗ Reader 🖥️
- SpaceXAI Launches Grok Bot for Autonomous AI Agents Daniel Dominguez Reader 🖥️
- TBM 437: Tokens, Hours, Points, and Other Curious Proxies John Cutler Reader 🖥️
- What's an Orchestrator—and Why Does Software Need One? Tim O'Brien source ↗ Reader 🖥️
- When AI Writes the Code, Specifications Need an Exit Strategy Markus Eisele source ↗ Reader 🖥️
- This Week in AI: When agents outnumber people Michelle Smith source ↗ Reader 🖥️
- Stop being skeptical about AI for development with Charity Majors Gergely Orosz (interviewing Charity Majors, CTO/co-founder of Honeycomb) Reader 🖥️
- How Organizations Use AI: Evidence From ChatGPT Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga Reader 🖥️
- I'm done using AI Brett Codes Reader 🖥️
- Expanding Daybreak as the Cyber Defense Window Narrows | OpenAI OpenAI source ↗ Reader 🖥️
- Everyone I recommend on AI is optimistic. Except Cory Doctorow. Ernie Svenson Reader 🖥️
- Amy Gibson's Post Amy Gibson Reader 🖥️
- Addy Osmani's Post Addy Osmani source ↗ Reader 🖥️
- Alexander Haneng's Post Alexander Haneng Reader 🖥️
- Downstream #1: Where Do Our Tokens Go? Johannes Gehrke source ↗ Reader 🖥️
- Leder du fra sidelinjen – eller ute på banen? Mats Kristensen source ↗ Reader 🖥️
- Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak No Priors (hosts Sarah Guo and Elad Gil, guest Melisa Tokmak) Reader 🖥️
- Pascal BORNET's Post Pascal BORNET Reader 🖥️
- Paweł Huryn's Post Paweł Huryn Reader 🖥️
- Strategi som regi i møte med teknologi: En samtale med Walter Qvam Verdistrategipodden (Tale Skjølsvik interviewing Walter Qvam) Reader 🖥️
- TBM 434: How Maps Can Hide Problems John Cutler (The Beautiful Mess, Substack) Reader 🖥️
- Grafana's gcx and MCP Server Reach GA for Telemetry-Driven Agent Development Claudio Masolo source ↗ Reader 🖥️
2026-07
- Presentation: The Free-Lunch Guide to Idea Circularity Holly Cummins source ↗ Reader 🖥️
- AI and IT Teams Often Clash. But They Don't Have To. Graham Kenny, Kim Oosthuizen, and Ganna Pogrebna Reader 🖥️
- Dropbox Integrates MCP and Dash to Close the Gap Between Security Design and Code Review Leela Kumili source ↗ Reader 🖥️
- John Cutler's Post John Cutler Reader 🖥️
- The Conductor Developer Rachel Laycock (Thoughtworks CTO; martinfowler.com — Rachel's Ramblings) source ↗ Reader 🖥️
- AI as an Enterprise Operating System Tim O'Reilly source ↗ Reader 🖥️
- Yonathan Cohen's Post Yonathan Cohen Reader 🖥️
- The Problem Is Prompt Debt Drew Breunig source ↗ Reader 🖥️
- Canon 3X: Explore/Expand/Extract Kent Beck source ↗ Reader 🖥️
- Presentation: Parting the Clouds: The Rise of Disaggregated Systems Murat Demirbas source ↗ Reader 🖥️
- AI-Assisted Software Development: Team Profiles and Capabilities for Putting Research into Action Ben Linders source ↗ Reader 🖥️
- Kafka App? There's a Skill for That Isobel Scott source ↗ Reader 🖥️
- AI and the Looming Competition for Margin Philipp Carlsson-Szlezak and Paul Swartz (BCG) Reader 🖥️
- Introducing The Founder Mindset: Tim Ferriss on Experiments, Risk, and Freedom HBR IdeaCast (Adi Ignatius, bonus crossover episode featuring Reza Satchu interviewing Tim Ferriss) Reader 🖥️
- The Hidden Realities of AI Adoption Kate Niederhoffer (BetterUp Labs) and Thomas H. Davenport (Babson College), hosted by Tom Stackpole (HBR) Reader 🖥️
- 3 Warning Signs Your Supplier Is in Distress Mehrdokht Pournader, Andrew Kach, Stephanie Eckerd, Niharika Garud Reader 🖥️
- AWS Lambda's Self-Managed Code Storage Lifts the Account Quota, Not the Function Size Limit Steef-Jan Wiggers source ↗ Reader 🖥️
- This AI notetaker won't sell surveillance to your boss Casey Newton Reader 🖥️
- The Economic Benefit of Refactoring Giles Edwards-Alexander (published on martinfowler.com, byline Martin Fowler) source ↗ Reader 🖥️
- What Is a Token? A Developer's Guide to Every Type Janet Wagner source ↗ Reader 🖥️
- Building AI Agents: API, Webhooks, Security, and Integration Alex Wang Reader 🖥️
- Presentation: Getting Rid of LeetCode Interviews in the World of AI Daniel Doubrovkine source ↗ Reader 🖥️
- The Case for Hiring Job Hoppers Rebecca Kehoe and F. Scott Bentley Reader 🖥️
- Research: How AI Agents Broaden the Scope of Knowledge Work Jeremy Yang, Kate Zyskowski, Noah Yonack, Jerry Ma (Perplexity) Reader 🖥️
- Microsoft Three-Layer LLM Routing Architecture for AI Agents on AKS Claudio Masolo Reader 🖥️
- Terraform Introduces tfpolicy, an HCL-based Policy-as-Code Framework Sergio De Simone source ↗ Reader 🖥️
- Article: Securing MCP in Production: Defense-in-Depth Beyond the Gateway Nik Kale source ↗ Reader 🖥️
- TBM 433: The Border Collie Faustian Bargain John Cutler Reader 🖥️
- What the Hell Is a Loop, Anyway? Laurie Voss source ↗ Reader 🖥️
- A big week for AI denialism Casey Newton source ↗ Reader 🖥️
- agent-skills/docs/comparison.md at main · addyosmani/agent-skills · GitHub Addy Osmani Reader 🖥️
- AWS Launches Amazon GuardDuty Investigation Agent to Automate Threat Triage Steef-Jan Wiggers source ↗ Reader 🖥️
- The Orchestrator's Tax Rahul Garg (martinfowler.com; edited/guided by Martin Fowler) source ↗ Reader 🖥️
- Teaching Coding When AI Can Write the Code Eric Freeman Reader 🖥️
- Sorry, Sam and Elon, we have not reached the Singularity Gary Marcus source ↗ Reader 🖥️
- How Gemini Flash agents are helping a Michigan dairy farmer News from Google Team source ↗ Reader 🖥️
- 3 new ways nonprofits can put AI to work Maggie Johnson source ↗ Reader 🖥️
- Presentation: The Future of Engineering: Mindsets That Matter When Code Isn't Enough Ben Greene Reader 🖥️
- The Hard-Stop Rule: From 3 HCM Monoliths to 120 Domain Microservices Prashanth Pasham source ↗ Reader 🖥️
- What Makes Chinese Companies So Competitive? HBR IdeaCast (hosts Alison Beard and Adi Ignatius, guest researcher Dan Wang) Reader 🖥️
- GitHub Introduces Default "Cooldown" Policy for Dependabot Version Updates Sergio De Simone source ↗ Reader 🖥️
- Why I'm Writing Rachel's Ramblings Rachel Laycock (Thoughtworks CTO; martinfowler.com — Rachel's Ramblings) source ↗ Reader 🖥️
- How building software is changing at Anthropic The Pragmatic Engineer Reader 🖥️
- Remix 3 Beta Preview Ditches React for a Web-Standards Full-Stack Framework Daniel Curtis source ↗ Reader 🖥️
- I've been wearing two AI recorders. Only one belongs near a client. Ernie Svenson Reader 🖥️
- From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI Margaret-Anne Storey Reader 🖥️
- Uber's Zero Growth Stack: Scaling Services, While Optimising Infrastructure and AI Cost Olimpiu Pop source ↗ Reader 🖥️
- What Happens After Every Company Becomes a Data Company? Art Anthony source ↗ Reader 🖥️
- 3 Questions to Pressure-Test Your Priorities Karen Walker Reader 🖥️
- AI Demands More Engineering Discipline, Not Less Charity Majors source ↗ Reader 🖥️
- AWS Billing Bug Shows Customers Trillion-Dollar Estimates While Its Own Cost Alarms Fail to Act Steef-Jan Wiggers source ↗ Reader 🖥️
- Presentation: Clean Architecture for Serverless: Business Logic You Can Take Anywhere Elena van Engelen source ↗ Reader 🖥️
- An Evolutionary Architecture Pattern for Managing AI's Pace of Change Joe Price, Branimir Đurek, Pavlos Migkiros, Trevor Dearham source ↗ Reader 🖥️
- Presentation: From Copy-Paste to Composition: Building Agents Like Real Software Jake Mannix source ↗ Reader 🖥️
- Don't Let AI Make Bad Analytics Worse Steven Tadelis source ↗ Reader 🖥️
- Netflix Details Its In-House LLM Serving Platform with Triton and vLLM Matt Foster source ↗ Reader 🖥️
- Podcast: Rethinking Data: Moving From the Traditional Three-Tier Web Stack to Client-Side Event Sourcing Johannes Schickling source ↗ Reader 🖥️
- Zero to Agent in 30 Minutes: Build a Hermes Social Media Agent with Craig Hewitt Michelle Smith source ↗ Reader 🖥️
- AI-Enabled Security Researchers Discover How a Crafted Video Can Provide Attackers Access to Your PC Olimpiu Pop source ↗ Reader 🖥️
- TBM 432: Bundling & Unbundling Capabilities (and AI) John Cutler Reader 🖥️
- AI Root Cause Analysis Shifts from Model Reasoning to Context Engineering Mark Silvester Reader 🖥️
- Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI Jörg Schad source ↗ Reader 🖥️
- Why Mentoring Matters More in the AI Era Marlo Lyons Reader 🖥️
- Stranded in the Slow Zone Tim O'Reilly source ↗ Reader 🖥️
- The Economics of Agentic AI: Engineering for Imperfection Artur Huk source ↗ Reader 🖥️
- The Invisible Work Draining Your Best Employees Leah Ruppanner, Haley Swenson, Kate Mangino, H. Colleen Stuart, David G. Smith, Molly Dickens source ↗ Reader 🖥️
- The Self-Building Agent: A LangChain4j Experiment Kevin Dubois, Mario Fusco source ↗ Reader 🖥️
- Walter Isaacson finally got scared about AI Ernie Svenson Reader 🖥️
- Achieving Compliance as a Platform Engineering Team by Helping Developers Ben Linders source ↗ Reader 🖥️
- Does code quality still matter? Mark Seemann source ↗ Reader 🖥️
- Expedia Uses AI Driven Service Telemetry Analyzer to Accelerate Incident Investigation Leela Kumili source ↗ Reader 🖥️
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- 🧠 Community Wisdom: How AI is changing product operating models, tracking work stress with Whoop, whether you nee… Lenny's Newsletter Reader 🖥️
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- Fragments: July 6 Martin Fowler source ↗ Reader 🖥️
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- Brain Food: Building Trust in Yourself Every Day Shane Parrish (FS) source ↗ Reader 🖥️
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- Why did Martin Fowler invite 60 engineers to a ski resort? Ivett Ördög source ↗ Reader 🖥️
- The Org Age of AI: A Collection of Enterprise AI Adoption Guides Turing Post source ↗ Reader 🖥️
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- The Pulse: a new trend, smart model routing The Pragmatic Engineer (Gergely Orosz) Reader 🖥️
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- Please stop the AI Confidence Theater Elena Verna (guest essay, cross-posted by Lenny Rachitsky / Lenny's Newsletter) source ↗ Reader 🖥️
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- Research: Why Some Junior Employees Work Well with AI—and Others Don’t Ashish Agarwal, Anitesh Barua, Anu Puvvada, Fangchen Song, Wen Wen source ↗ Reader 🖥️
2026-06
- 46 thoughts on the near future bayes Reader 🖥️
- Have your agent record video demos of its work with shot-scraper video Simon Willison (Simon Willison's Newsletter) source ↗ Reader 🖥️
- How to ask for help from people who don't know you pradyuprasad.com Reader 🖥️
- Cybersecurity and the Gap Between Skill and Ability Bruce Schneier source ↗ Reader 🖥️
- The Language of AI Could Change How Humans Speak Bruce Schneier (with Ada Palmer) Reader 🖥️
- Agentics / Tech Things: Tokenmaxxing is dead, long live tokenmaxxing theahura Reader 🖥️
- DORA Community Discussion - Operationalizing DORA within a large organization DORA (speaker: Julia Jakubiec, ABN AMRO; host: Nathan Harvey) source ↗ Reader 🖥️
- Inside a PhD Student's Research Workflow | Studying Parasocial Relationships with Alvina Lai Consensus Reader 🖥️
- Should You Still Become a Software Engineer in 2026? GitHub VP Jean Lee (interviewer); Scott Hanselman (guest, VP & Member of Technical Staff, Microsoft/GitHub) source ↗ Reader 🖥️
- Google Just Dropped a Masterclass on Agentic Engineering (It's SO Good) Cole Medin Reader 🖥️
- You can't unit test for taste Karl Tryggvason source ↗ Reader 🖥️
- The Laws of this World (Game Theory) Incentivising source ↗ Reader 🖥️
- AI coding creates two kinds of debt. You're only measuring one Antonija Bilić Arar source ↗ Reader 🖥️
- The best response to AI slop, infinite advice, and online noise is from Robin Williams Jay Acunzo source ↗ Reader 🖥️
- Spec-Driven Production Grade Development In The Age Of Vibe Coding Lee Boonstra Reader 🖥️
- AI models can disappear overnight. Is your engineering team built to survive it? Bill Doerrfeld source ↗ Reader 🖥️
- GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index Artificial Analysis source ↗ Reader 🖥️
- The 8 software engineering metrics AI broke Michael Hill source ↗ Reader 🖥️
- AI Coding Agents Get a Stack Overflow of Their Own Matt Saunders source ↗ Reader 🖥️
- TBM 426: The Trouble With Mirrors John Cutler from The Beautiful Mess source ↗ Reader 🖥️
- Your AI agent just blamed the network team. Now what? Nik Kale source ↗ Reader 🖥️
- Governing AI in the Cloud: A Practical Guide for Architects Dave Ward source ↗ Reader 🖥️
- What is the harder human-capital problem beneath token capital? Turing Post Reader 🖥️
- Revised rules of engineering leadership. Will Larson (lethain.com) Reader 🖥️
- The New SDLC With Vibe Coding: From ad-hoc prompting to Agentic Engineering Addy Osmani, Shubham Saboo, Sokratis Kartakis Reader 🖥️
- Brain Food: Answers Without Effort Shane Parrish (FS) source ↗ Reader 🖥️
- We don't write code anymore Vincent Quigley source ↗ Reader 🖥️
- AI isn't making developers more productive – it's making them busier Chris Stokel-Walker source ↗ Reader 🖥️
- The Claude Code active attack didn't stop. 294,842 secrets stolen from 6,943 machines. It evolved and now spreads through Python too and uses Claude Code itself to steal your secrets. The risk to your credentials just got bigger. johnypita source ↗ Reader 🖥️
- DiffusionGemma: 4x faster text generation Brendan O'Donoghue source ↗ Reader 🖥️
- Agent Skills Tanvi Singhal, Gabriela Hernandez Larios, Debanshu Dus, Lavi Nigam, and Smitha Kolan Reader 🖥️
- Agent Tools & Interoperability Kanchana Patlolla, Łukasz Olejniczak, Pier Paolo Ippolito Reader 🖥️
- The engineering manager role is splitting in two Stephane Moreau source ↗ Reader 🖥️
- Gemini 3.5 Live Translate works in real time across 70+ languages, coming to Google Translate and Meet Ryan Whitwam source ↗ Reader 🖥️
- Git real: AI agents aren’t just for solo developers anymore Janakiram MSV source ↗ Reader 🖥️
- The tokenmaxxing party is over, and Revenium is mopping up Chris J. Preimesberger source ↗ Reader 🖥️
- Vibe Coding Agent Security And Evaluation Sokratis Kartakis, Aron Eidelman, Wafae Bakkali, Meltem Subasioglu Reader 🖥️
- With Foundry, Microsoft bets the enterprise AI battle is about reliability, not capability Darryl K. Taft source ↗ Reader 🖥️
- Loop Engineering Addy Osmani Reader 🖥️
- Is AI coding on average 17.3x faster or 1.3x faster? Both. — LinkedIn post by Fabrice Bernhard Fabrice Bernhard Reader 🖥️
- Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency Omar Sanseviero (Google) Reader 🖥️
- 95% cheaper and sovereign AI: Why we dropped Copilot at Coop Bank — LinkedIn post by Jannik William Frederiksen Jannik William Frederiksen Reader 🖥️
- No, Anthropic did not call for a pause on AI development Gary Marcus (Marcus on AI, Substack) Reader 🖥️
- How OpenAI Built a Secure Windows Sandbox for Codex Agents Leela Kumili Reader 🖥️
- This Week in AI: Production Viability Michelle Smith (O'Reilly Network) Reader 🖥️
- The Intent Debt Addy Osmani (addyosmani.com) Reader 🖥️
- Running Python code in a sandbox with MicroPython and WASM Simon Willison Reader 🖥️
- What OpenAI and Anthropic Think Happens Next With AI AI Daily Brief (Nathan Labenz, beehiiv newsletter) Reader 🖥️
- Your AI strategy has a trust problem, not a tooling problem Elena Verna (cross-posted by Lenny Rachitsky) Reader 🖥️
- Flood of AI 'garbage' is pushing open-source developers to the limit New Scientist - Home source ↗ Reader 🖥️
- Engineering Leadership Report 2026 Postman Reader 🖥️
- AI's environmental costs threaten water, land and climate United Nations Reader 🖥️
- Kaggle is making AI benchmark creation effortless Andrew Wang (Google) Reader 🖥️
- How a Culture of Data-Driven Conversations Can Support Platform Engineering Ben Linders Reader 🖥️
- Co-Existence and the End of Co-Intelligence Ethan Mollick source ↗ Reader 🖥️
- Predict, Don't Enumerate Michael Roytman Reader 🖥️
- Hacking Meta's AI Chatbot Bruce Schneier Reader 🖥️
- Lessons from building Claude Code: How we use skills Claude Reader 🖥️
- You Don't Get to Create Anything (Still Burning: Beck + Randy Shoup on Jevons paradox and distributed systems under AI) Kent Beck — Still Burning Podcast Reader 🖥️
- A harness for every task: dynamic workflows in Claude Code Thariq Shihipar and Sid Bidasaria (Anthropic, Claude Code team) source ↗ Reader 🖥️
- Recommendation algorithms might be making your entertainment boring, new research suggests Eric W. Dolan source ↗ Reader 🖥️
- The real skill behind good AI prompts is older than computers Ernie Svenson Reader 🖥️
- Trust Factory Kent Beck (Software Design: Tidy First?) Reader 🖥️
- From Async Code Reviews to Co-Creation Patterns Dragan Stepanović (published via Ben Linders / InfoQ) source ↗ Reader 🖥️
- This coding agent doesn’t want your feedback — it ships without it Darryl K. Taft source ↗ Reader 🖥️
- 4) Morten Eikeland: Det finnes alltid et hierarki Truls Jørgensen og Audun Fauchald Strand — Heis Podcast source ↗ Reader 🖥️
- 18) Vipps: Fra app til verb til nordisk infrastruktur Truls Jørgensen og Audun Fauchald Strand — Heis Podcast source ↗ Reader 🖥️
- How People Are Really Using AI in 2026 Harvard Business Review Reader 🖥️
- On Pair Programming Nina Siessegger source ↗ Reader 🖥️
- How Chinese Firms Are Saving Western Brands Shameen Prashantham Reader 🖥️
- Your Company Needs an Energy Strategy for AI's Next Phase Eric Yanfei Zhao Reader 🖥️
2026-05
- Én enkelt behandling kan gi svært langvarig kolesterolsenkning: – Noe radikalt nytt Bård Amundsen source ↗ Reader 🖥️
- The Last Technical Interview Steve Yegge source ↗ Reader 🖥️
- IBM and Red Hat Commit $5 Billion to Redefine the Future of Open Source in the AI Era IBM Newsroom source ↗ Reader 🖥️
- I went to a Parisian dinner party yesterday. Here's what I noticed. Elie Reader 🖥️
- Why AI agents need a Context Lake Zohar Einy source ↗ Reader 🖥️
- How I Use Agents Without Stopping My Own Growth Jared Currie source ↗ Reader 🖥️
- Writing Code vs. Shipping Code: Productivity Effects Across Generations of AI Coding Tools Mert Demirer, Leon Musolff, Liyuan Yang source ↗ Reader 🖥️
- How To Handle Conflict: 7 Secrets From History's Master Strategist Eric Barker source ↗ Reader 🖥️
- Build an AI Advisory Board with GPTs for Decision-Making Carolyn Healey source ↗ Reader 🖥️
- AI Won't Save the Kingdoms We Built John Cutler source ↗ Reader 🖥️
- What we lose when AI writes for us Afonso Franco Reader 🖥️
- Google Introduces Middleware Architecture for Genkit Applications Robert Krzaczyński source ↗ Reader 🖥️
- Using AI to write better code more slowly Nolan Lawson (Read the Tea Leaves) source ↗ Reader 🖥️
- NodeJS Proposes Built-In Virtual File System, Sparking Debate Over AI-Generated Contributions Daniel Curtis source ↗ Reader 🖥️
- The Orchestration Tax is You AddyOsmani.com Reader 🖥️
- The Power of Rivalry in Performance Boosting Daniel Pink source ↗ Reader 🖥️
- I Wrote Down My Dream Life. Six Months Later I Was Living It. baby source ↗ Reader 🖥️
- Brain Food: Intelligence vs. Wisdom Shane Parrish (FS) source ↗ Reader 🖥️
- LLMs Can't Jump Tom Zahavy, Google DeepMind source ↗ Reader 🖥️
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- Ask Me Anything! Annie Duke (via Thinking in Bets newsletter) Reader 🖥️
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- TBM 414: Legibility and Legitimacy John Cutler from The Beautiful Mess source ↗ Reader 🖥️
- #2: The Unsexy Truth of AI Adoption Turing Post (Ksenia Se) source ↗ Reader 🖥️
- Starving Genies Kent Beck source ↗ Reader 🖥️
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- Does GitHub still merit "top git platform for AI-native development" status? The Pragmatic Engineer source ↗ Reader 🖥️
- [MODEL] Claude Code is unusable for complex engineering tasks with the Feb updates #42796 stellaraccident (via https://github.com/anthropics/) source ↗ Reader 🖥️
- Wow, this tweet went very viral! Andrej Karpathy source ↗ Reader 🖥️
- Sebastian Mallaby on AI Safety and the Race for Superintelligence Yascha Mounk (Persuasion) source ↗ Reader 🖥️
- AI's biggest critic has lost the plot Kelsey Piper source ↗ Reader 🖥️
- The Axios supply chain attack used individually targeted social engineering Simon Willison source ↗ Reader 🖥️
- Claude Code Source Leak Megathread sixbillionthsheep (Reddit) source ↗ Reader 🖥️
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- Simon Sebergsen's Post Simon Sebergsen source ↗ Reader 🖥️
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2026-03
- Encoding Team Standards Rahul Garg source ↗ Reader 🖥️
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- Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI No Priors: AI, Machine Learning, Tech, & Startups Reader 🖥️
- 13) Tobias K. Torrissen om kodekvalitet, konferanser og AI Truls Jørgensen og Audun Fauchald Strand — Heis Podcast source ↗ Reader 🖥️
- How to Turn Individual Talent into Organizational Excellence Harvard Business Review Reader 🖥️
- Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work Brandon Lepine; Juho Kim; Pamela Mishkin; Matthew Beane Reader 🖥️
- The Anatomy of an Agent Harness Vivek Trivedy source ↗ Reader 🖥️
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- 12) Greger Teigre Wedel: Når sjefen har svaret, tier resten Truls Jørgensen og Audun Fauchald Strand — Heis Podcast source ↗ Reader 🖥️
- Agents Over Bubbles Ben Thompson (Stratechery) source ↗ Reader 🖥️
- Leading Open Source Author Calls for Verification over Trust in Software Supply Chains Matt Saunders source ↗ Reader 🖥️
2026-02
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- Stop Using /init for AGENTS.md Addy Osmani source ↗ Reader 🖥️
- Head of Claude Code: What happens after coding is solved | Boris Cherny Lenny's Podcast source ↗ Reader 🖥️
- Fragments: February 18 Martin Fowler source ↗ Reader 🖥️
- Harness Engineering Birgitta Böckeler source ↗ Reader 🖥️
- 11) AI-spesial med Vilde Opsal og Anders Sveen Truls Jørgensen og Audun Fauchald Strand — Heis Podcast source ↗ Reader 🖥️
- Fragments: February 13 Martin Fowler source ↗ Reader 🖥️
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- Fragments: February 9 Martin Fowler source ↗ Reader 🖥️
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- The third golden age of software engineering – thanks to AI, with Grady Booch The Pragmatic Engineer (Gergely Orosz, host; Grady Booch, guest) Reader 🖥️
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2026
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- The Tidy House Tim O'Reilly (with DJ Patil) Reader 🖥️
2025-12
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- 6) Catherine Janson og Kjerstin Wester: The power of two! Truls Jørgensen og Audun Fauchald Strand — Heis Podcast source ↗ Reader 🖥️
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2025-11
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2025-10
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2025-09
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2025-07
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2025-06
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2025-05
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2025-04
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2025-03
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2025-02
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2025-01
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2025
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2024-12
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2024-11
2024-10
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2024-09
2024-08
2024-06
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2024-04
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2024-03
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2024-02
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2023-09
2023-07
2023-04
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2023-03
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2023-02
2022-12
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2022-11
2022-08
2022-03
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2022-01
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2021-11
2021-10
2021-07
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2021-04
2021-01
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2020-07
2020-04
2019-09
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2019-02
2018-07
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2018-06
2018-03
2016-08
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