1. Building for the Future (blog.cloudflare.com)

This afternoon, we sent the following email to our global team. One of our core values at Cloudflare is transparency, and we believe it

6. Programming Still Sucks (www.stvn.sh)

Sorry Peter. β€” I'm at a birthday party, and while most people here also work in tech, there's always a Guy with a Real Job. You know, a physical job, building some or other thing people need. And this Guy always asks some variant of the same question: aren't you worried AI is taking your job? I glance around and see a few faces turning around toward us, rolling their eyes ever so slightly before returning to their previous conversation. Yes, this question again.

29. ProgramBench: Can Language Models Rebuild Programs from Scratch? (arxiv.org)

Turning ideas into full software projects from scratch has become a popular use case for language models. Agents are being deployed to seed, maintain, and grow codebases over extended periods with minimal human oversight. Such settings require models to make high-level software architecture decisions. However, existing benchmarks measure focused, limited tasks such as fixing a single bug or developing a single, specified feature. We therefore introduce ProgramBench to measure the ability of software engineering agents to develop software holisitically. In ProgramBench, given only a program and its documentation, agents must architect and implement a codebase that matches the reference executable's behavior. End-to-end behavioral tests are generated via agent-driven fuzzing, enabling evaluation without prescribing implementation structure. Our 200 tasks range from compact CLI tools to widely used software such as FFmpeg, SQLite, and the PHP interpreter. We evaluate 9 LMs and find that none fully resolve any task, with the best model passing 95\% of tests on only 3\% of tasks. Models favor monolithic, single-file implementations that diverge sharply from human-written code.

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