AI coding tools are usually evaluated at the most visible point: the generated code. Did it compile? Did the pull request ship? Did the developer finish faster?
Those questions matter, but they miss a large part of the work. Before code reaches a test suite or a reviewer, the developer has already decided how to describe the problem, which context to provide, which assumptions to leave implicit, when to challenge the agent, and what evidence is enough to call the task complete.
The Mesa 3D graphics driver project has loosened its rules laid out in their AGENTS.md for AI agents to permit AI/LLM assistance in generating code comments and…
I usually have many projects and terminals I’m working in so Crosswalk groups my work together and allows me to open a terminal (or another terminal app) in the correct…
Together AI is putting AI coding agents to work on the GPU code that runs its inference infrastructure, automating performance The post Together AI let coding agents…
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