4d ago · 5 min read · The Problem Wasn’t Triage Most AI workflows in software engineering still keep the human directly in the middle of triage. The AI might help write code. It might explain a stack trace. It might summar
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5d ago · 12 min read · Why LLM Inference Costs Are the Wrong Unit of Measure Every time an LLM solves a problem, it forgets how it solved it. Feed the model the same class of problem tomorrow, and it starts from scratch — burning the same tokens, taking the same computatio...
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6d ago · 17 min read · TL;DR: A decision framework for European engineering leaders to evaluate open-source AI repos by license, maintenance, and data governance. Stars are a signal, not a procurement criterion. The open-source AI landscape in mid-2026 is dense with repos...
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May 9 · 10 min read · TL;DR We added architectural context to AI coding agents via MCP and tested on SWE-bench Verified (500 real bugs). MiniMax M2.5 — a model that costs $0.02 per call — scored 78.2%, surpassing every mod
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May 7 · 6 min read · Hacker News, front page, May 7, 2026: 🔥 "The bottleneck was never the code" — 538 points · 349 comments 🔥 "Appearing productive in the workplace" — 869 points · 334 comments Read those two together. They describe the same thing without knowing it: ...
Join discussionMay 6 · 10 min read · Two things happened in late April 2026 that are worth understanding together. Mistral released Medium 3.5, a 128B dense open-weight model that replaces both Devstral 2 and Magistral in a single set of weights. At the same time, they shipped remote ag...
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May 5 · 10 min read · If you've used Claude Code for more than a week, you've probably hit the same wall most of us did. The model is brilliant in short bursts, but it forgets things between sessions, burns through context
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May 5 · 8 min read · Somewhere around the four-hundredth line of auto-generated code, a junior engineer at a mid-sized fintech startup noticed the error handlers were missing. Not broken — missing. The agent had written plausible-looking logic, passed its own tests, and ...
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May 5 · 9 min read · Mistral Medium 3.5 launched April 29, 2026 as the most capable open-weight model the French AI lab has released: a 128-billion-parameter dense model scoring 77.6% on SWE-Bench Verified, with a 256,000-token context window and native multimodal input....
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