Article
Lost in the Middle: Why Your LLM Ignores What You Give It
LLMs don't read long contexts well, not because of capacity limits, but by design. Two studies measure the gap. What it means for how you architect your systems.
Articles
26 articles
Article
Token Economy: Three Tools Attacking the Problem Differently
RTK compresses tool outputs. Caveman forces LLM brevity. DCP prunes context history. Three tools, three layers — and a counterintuitive argument: fewer tokens, better reasoning.
Article
Agentic AI: what it actually is
Between devs convinced AI will automate everything and those who think it will never truly understand code, there's a more nuanced reality, and a more useful one.
Brève
pure.md — a markdown proxy for AI agents, with built-in MCP
pure.md markdown proxy for AI agents — converts any URL to clean markdown in one GET request. Handles JS SPAs, PDFs, bot detection. 28K tokens vs 143K with Jina.
Brève
Muxy, a Mac terminal built around libghostty
A nice Mac find: Muxy builds on libghostty and leans into worktrees, vertical tabs, and splits.
Article
Devoxx France 2026: AI everywhere, but with nuance
A recap of 3 days at Devoxx France 2026 — from generative AI to CI/CD security, Docker Sandboxes to LLM guardrails, here's what the conference says about the state of the art (and its limits).
Article
The Agentic AI Foundation — standardizing agentic AI without shooting yourself in the foot
The Linux Foundation launches AAIF with MCP, goose, and AGENTS.md. Open governance to prevent ecosystem fragmentation.
Brève
WebMCP — MCP in the browser, finally
A JavaScript API that turns your site into an MCP server. Agents talk to your app through structured tools instead of scraping the DOM.
Deep Dive
AI Agent Guardrails: Every Source of the Problem
AI agents have a fundamentally different attack surface than chatbots. A complete map of the threats — from indirect prompt injection to tool supply chain attacks.
Deep Dive
Building an agent-first harness with OpenCode custom tools
How to give an AI agent all the tools it needs to run, analyze, and see your application — and become truly autonomous in detecting and fixing errors.