133 summarised stories about AI Code Generation, each linking back to the original source. Browse all topics →
Simon Willison's Weblog 3 months ago 32
Kenton Varda banned his team from using AI to write change descriptions for pull requests and commits. The AI-generated descriptions included low-level code details visible in diffs while omitting the high-level context needed to understand the changes' purpose. As a result, Varda found the descriptions made code review harder rather than easier.
OpenAI 3 months ago 20 ● 2 sources
OpenAI's analysis identified flaws in SWE-Bench Pro, a widely-used benchmark for evaluating coding AI systems, questioning whether its results accurately reflect model performance. The benchmark contains ambiguous test cases and inconsistent evaluation criteria that affect reliability of the results. This finding prompts developers to scrutinize existing coding benchmarks more carefully and potentially revise evaluation methodologies before trusting benchmark rankings.
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17 October 2026
The throughline today isn’t just better models—it’s faster, cheaper ways to build agents without giving up control. DeepSeek’s DeepSeek-V4.1-Flash-1017 is now live via its website, app, and API, posting a 77.0 on DeepSWE v1.1, but the headline move is the opening of its Search and Fetch APIs to all developers. The framing is pragmatic: agent coding gets cheaper, and you can stack a first-party web layer under a single API key rather than stitching third-party scraping and retrieval together.
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