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Using Claude to reduce the attack surface of code
Anthropic's Frontier Red Team previews research on using Claude for automated attack surface analysis and reduction: mapping reachable code in large open-source projects, then removing or gating unused paths so unknown vulnerabilities become harder to reach in real deployments.
11 min · 2,564 words
Basis researchers show how LLMs can invent a programming language, write an interpreter, and prove that the interpreter follows the language's rules—arguing that shipping a verified interpreter is becoming a practical unit of AI-generated software, not just generated code snippets.
19 min · 4,264 words
Scaling agent teams: reach the frontier at 30% of the cost
Cohere Labs finds that heterogeneous coding-agent teams—pairing a strong lead with many cheaper planners—can reach frontier ProgramBench performance while cutting cost about 70% versus an all-frontier team (e.g. $510 down to $155), with lessons on where extra agents actually help.
20 min · 4,528 words
The geometric model of maintenance
Using git history labelled as new development or maintenance, kqr tests James Shore's rule that each person-month of code induces 10 days of maintenance in year one and 5 days a year after, finds it does not track real projects like tmux, and proposes a geometrically decaying model whose fitted totals range from about 1.5x maintenance per unit of new work for nginx to 5.3x for Neovim.
12 min · 2,827 words
I Deleted 168,000 Lines of Comments. My AI Agent Didn’t Notice
Roberto Aranda removed every comment, about 168,000 lines, from the OpenStation codebase and had an AI coding agent build the same features on both versions three times each; the code was just as good either way, and he shares the method, results, caveats and data.
4 min · 871 words
Google Project Zero's Natalie Silvanovich explains why emergency security patches are slowed mainly by testing and delivery, and surveys the rapid-remediation tools large vendors use (feature flags, input filtering, alternate update channels and hotpatching), urging vendors to plan for widespread active exploitation as LLMs speed up attacks.
9 min · 2,033 words
Two-Stack Sliding-Window Aggregation
An aggregation is some kind of summary of a set of data. This can be the sum, length, minimum, etc. It is quite common to want to calculate such a summary repeatedly, e.g. “the maximum noise level in dB for the past 30 seconds” for a nuisance detector. In such a case we say there is a sliding window over our data, and we want to aggregate over our window.
5 min · 1,195 words