AI CODING
199 items
198 posts, 1 tool
SWE-Pruner Pro points at a practical coding-agent design shift: do not only compress prompts outside the model. Teach the runtime to prune tool outputs before they become the next turn's context.
Microsoft's Resource2Skill paper points at the next agent-skills problem: converting videos, repos, articles, and reference artifacts into executable skills without losing provenance.
A July 2026 paper shows how hallucinated repository and skill names can become promptware delivery paths. The practical fix is boring: search before fetch, verify names, and sandbox every install.
Laura Summers of Pydantic articulates why LLM-assisted programming increases work intensity while eliminating the rewards that made coding satisfying.
Kimi K3 brings 2.8 trillion parameters, native vision, a 1M-token context window, and long-horizon agent workflows. Here is what developers should know before adopting it.
A Kimi-generated macOS 27 concept shows the promise and limits of screenshot-driven website creation. Here is how K3's vision-in-the-loop workflow changes frontend agents.
Kimi K3 adds native vision, a 1M-token window, and longer agent runs, but K2.7 remains cheaper and easier to deploy. Here is the practical upgrade decision.
GitHub Spec Kit and gstack are trending for the same reason: coding agents need durable specs, plans, and task ledgers more than another one-shot prompt.
OpenAI crossed 8 million active users on Codex and ChatGPT Work in one week. Here is what drove the surge, what changed for developers, and what to watch as capacity scales.
Days after getting caught uploading entire codebases to xAI servers, Grok Build is now open source on GitHub. The HN community isn't convinced it's enough.
SkillHone is a July 2026 paper about evolving agent skills across sessions. The useful takeaway for developers is simple: do not save only the latest SKILL.md. Save the decisions that explain why it changed.
SpaceX is buying Cursor for $60 billion. Here is what changes for developers, what stays the same, and why xAI, Colossus, and Grok Build matter for the future of AI coding tools.
Security researchers disclosed a Cursor vulnerability that auto-executes malicious git.exe files from repos - after waiting 7 months with no fix. Here's what developers need to know.
StateM pushes Terminal-Bench 2.1 to 95.3% raw accuracy by scaling the harness around the model. The lesson for coding-agent teams is that runbooks, state, and recovery loops now matter as much as model choice.
A Hacker News discussion blows up over LLM vocabulary quirks, with developers sharing hooks, filters, and coping mechanisms for repetitive Claude-isms.
A workflow for archiving, signing, notarizing, and distributing Apple apps entirely from the command line - with AI coding assistants doing the heavy lifting.
Open-source tool gives Claude Code, Codex, and other agents their own isolated Linux VM on your machine - network firewall included, no cloud account required.
A security researcher intercepted Grok Build's network traffic and found it uploads entire repositories - including .env files with secrets - to xAI servers. Here's what the data shows.
A Microsoft field study found that CLI coding-agent adoption spreads through peers and managers, while adopters merged roughly 24% more pull requests. The lesson is not to buy more seats. It is to instrument rollout, retention, cost, and review quality from day one.
Andrew Kelley's blunt response to Anthropic's AI-assisted Bun rewrite sparked debate about AI marketing, language choices, and what makes engineering decisions honest.

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