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.
#LLM
6 articles
Article
Token Economy: Three Tools Attacking the Problem Differently
RTK, DCP, Caveman — three approaches to reducing token consumption in AI agents. Not just about cost: primarily about reasoning quality.
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 converts any URL into LLM-ready markdown: bot detection bypass, JS rendering, global cache. Two MCP tools are all you need to plug it into Cursor, Windsurf, or Claude Desktop.
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).
Brève
Harness engineering: what Anthropic and OpenAI are actually doing with their agents
Anthropic and OpenAI published their harness engineering post-mortems weeks apart. Different problems, same conclusions — here's what to take away.