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Gemini 4 Argon: What frontier models mean for your workflow
Google's new Gemini 4 Argon delivers frontier performance in coding, enterprise work, and cybersecurity. Here's what developers need to know about the shift.
Gemini 4 Argon: The Frontier Model That Changes How We Build
Google's new frontier AI model delivers breakthrough performance in coding, enterprise knowledge work, and cybersecurity. Here's what it means for developers.
OpenAI DevDay 2024: Dots, Ultrafast Models, and the Agent Era
Live coverage of OpenAI's keynote announcing Dots personal agents, GPT-6.1 Sol, Ultrafast inference, and ChatGPT Sites at DevDay 2024.
Cloudflare's cf CLI: When Tools Are Built for Agents, Not Humans
Cloudflare's new cf CLI expands from 280 to 3000+ operations and prioritizes agent usability over human workflows. What does this mean for the future of developer tools?
Building Fast Diff Surfaces: How GitHub Handles Million-Line Pull Requests
Inside the architecture behind rendering massive pull requests with hundreds of comments performantly. A deep dive into virtualization, geometry, and engineering trade-offs.
ChatGPT Work Generated Running Routes, Then Lost The Code
GPT-6 created GPS routes from my address using OSM data, but the actual code disappeared after thread compaction. What this reveals about LLM transparency.
ChatGPT Work: When AI Gets Real Internet Access
OpenAI's new Work mode gives Claude a powerful upgrade: real internet access, browser automation, and persistent file systems. Here's what it means.
Why Tokenmaxxing Misses the Mark for AI Coding
Token optimization in AI agents creates perverse incentives. Real value comes from measurable outcomes: PR merges, release velocity, and actual developer productivity gains.
GitHub Copilot Slash Commands Transform Developer Workflows
Explore how slash commands in GitHub Copilot app enable faster planning, implementation, and collaboration without breaking developer focus.
LLM 0.32: When a CLI Tool Becomes an Agent Platform
Major LLM release adds reasoning traces, server-side tools, and content-addressable logging. What this means for building AI systems.
Stateless MCP has recaptured my interest
MCP 2.0 simplifies agent tooling with stateless design. I built three projects this week exploring why this matters for secure, scalable LLM applications.
Why Your Laptop Just Became Production for AI Agents
AI agents are reshaping the SDLC. Runtime isolation, governance, and the three-layer security model are now table stakes for shipping safely.
How GitHub Cut Copilot Review Cost 20% by Fixing Agent Instructions
GitHub's Copilot code review team found that swapping tools wasn't enough. Rewriting agent instructions around reviewer workflows cut costs by 20%.
When AI Has No Source: Implications for Developers
Exploring what it means for developers and the AI industry when models generate content with no traceable source material.
How GitHub Cut Copilot Review Cost 20% by Rewriting Tool Instructions
GitHub's Copilot code review team found that swapping tools wasn't enough. Rewriting agent instructions around pull request workflows cut costs by 20%.