
Write Code Like a Human Will Maintain It - The AI Era Debate
Write code like a human will maintain it: why AI-generated shortcuts teach future models bad patterns, and what the HN debate suggests for keeping quality up.
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Write code like a human will maintain it: why AI-generated shortcuts teach future models bad patterns, and what the HN debate suggests for keeping quality up.

Apple sues OpenAI over alleged trade secret theft: what the complaint says about former employees Tang Tan and Chang Liu, the hardware angle, and HN reactions.

A solo developer built a 1,300-line C inference engine that runs the 744B GLM 5.2 model on consumer hardware by streaming routed experts from disk.

Ginger Bill argues that the best tools disappear during use - and that celebrating workarounds is a sign your tool has failed you.

GPT-5.6 Sol Ultra proof of the Cycle Double Cover Conjecture: what OpenAI claims, the prompt it used, and why mathematicians are still verifying the result.

Mitchell Hashimoto on building Ghostty in Zig: why he chose Zig over Rust, how the GPU-first terminal is architected, and what Hacker News made of it.

Scarf moves from Haskell to Python after 7 years: why LLM-driven development made compile times a bottleneck, how the migration worked, and the HN debate.

Tencent's Hy3 ships 295B parameters but activates only 21B per token, matching flagship performance at flash-tier pricing under Apache 2.0.

A new Vera paper tests Codex, Claude Code, OpenClaw, and Hermes with executable safety cases. The useful lesson is not panic. It is evidence-grounded agent QA.

AI agent eval tools compared - Braintrust, Langfuse, Promptfoo, DeepEval, Ragas, and OpenAI Evals on offline vs online evals, LLM-as-judge, CI, and datasets.

Does codebase pattern consistency drive AI output quality? The case that it makes rewrites economical, and why HN pushed back on maintainability and evidence.

AI test generation tools compared for coding agents: what they generate, where they fit in your workflow, and how to avoid tests that encode the bug.
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