Beyond grep: the thesis of the rich-context AI coding harness
Ars Technica states what code agent practitioners were observing: context strategy has become the real lever - not the underlying model.
20 h ago 8 10
Ars Technica states what code agent practitioners were observing: context strategy has become the real lever - not the underlying model.
20 h ago 8 10
For a few weeks now, code agent users have seen their weekly quotas reset "randomly". This is not a bug - it's the first sign that token rationing has become a real product lever.
Jul 19, 2026 at 00:39 10 10
Olaf Alders publishes on July 17 a well-argued critique of a Claude Code feature - the "public post-mortem of a misfeature" format is becoming a standard of hype fatigue.
Jul 17, 2026 at 22:05 34 11
Capital One is launching VulnHunter, an agentic security tool, on July 17 - the bank is contributing to the sec + agents ecosystem.
Jul 17, 2026 at 22:03 12 8
Google differs Gemini 3.5 Pro to improve coding. The metric that blocks a frontier release is no longer knowledge, it's tool-use.
Jul 17, 2026 at 09:19 25 11
After the wave of teasers and benchmark videos, Moonshot AI has put Kimi K3 into production on kimi.com and via its code API. The question is no longer "when," but "at what price, at what latency, and for what real use."
Jul 16, 2026 at 21:46 29 8
Adam Mosseri announces token quotas per engineer within one to two years. Behind the joke, a real professional question: the marginal cost of code has just stopped being zero.
Jul 14, 2026 at 22:30 16 7
Stratechery describes a major product pivot at OpenAI: the new ChatGPT is no longer an evolution of the chat, it's Codex. A super app that is agent-first, even if it means liquidating the category that OpenAI itself invented.
Jul 14, 2026 at 15:44 15 7
The OpenAI Codex coding tool has started to encrypt prompts and use the ciphertext directly for inference. The change raises questions about the reproducibility, observability, and privacy of developers' inputs.
Jul 14, 2026 at 15:44 6 8
Salvatore Sanfilippo (Redis) publishes a short and clear post on what remains for the developer when AI writes the code. His answer: the idea, the architecture, the judgment. The rest is delegable.
Jul 13, 2026 at 17:27 5 8
An Unregistered Report on arXiv tackles the question we were avoiding: what criteria, what biases, do developers use when they accept - or refuse - the code of an LLM. This is the empirical foundation that was missing from the debate.
Jul 13, 2026 at 09:14 9 12
New arXiv paper: programmers are not only bad judges of LLM-generated assertions - they are overconfident in their judgment. The combo that derails AI code review.
Jul 13, 2026 at 09:13 8 8