Data-driven insights from analyzing 128,000+ repositories and 3.27 billion lines of code. Vulnerability trends, code quality patterns, and actionable intelligence for engineering teams.
RSS FeedA point-in-time study of 51 GitHub Trending repositories found 10,363 security, supply-chain, quality, and architecture observations, with a new assurance label that …
3 min readLarge AI-coded repo scans reveal why scanner reliability depends on archive fallback, context-aware detection, and supply-chain-level scoring.
2 min readSimple gates around dependencies, CI, auth boundaries, and public discovery files catch practical risks before they become incidents.
1 min read1.3 million functions later, the verdict is in: Claude Opus 4.7 favors small, composable units.
How one component library became Claude Opus 4.7's default UI kit.
When we ask an LLM to grade every Opus 4.7 repo, 3 in 4 come back as "high reuse potential.
When Opus 4.7 builds anything non-trivial, it reaches for a pnpm workspace. 454 monorepos and counting.
A first look at what Claude's flagship coding model builds when unleashed on GitHub.
Behind the scenes of the Repobility corpus — harvesting, analysis, embedding, and distillation.
The full language footprint of 9,281 Opus 4.7 repos — top 15 primary languages and the file-level extension distribution.
Hand-graded top picks from 9,281 Opus 4.7 repos — the best MCP servers, CLIs, web apps, and libraries.
18% of Opus 4.7 repos contain a CLAUDE.md. Here's what's in them and why it matters.
Despite the frontend hype, nearly half of Opus 4.7's GitHub output is backend code.
Proposal to add default CFLAGS and LDFLAGS hardening to pip and setuptools C extension builds. Two environment variables would protect all 400K+ PyPI packages.
We audited 373 ELF binaries across 46 Python packages and found 93% lack stack canaries, 98% lack full RELRO, and 94% lack FORTIFY_SOURCE. A typical …
Our research is based on continuous analysis of 128,000+ repositories and 3.27 billion lines of code using Repobility's proprietary scanning engine.
All data is aggregated and anonymized. No individual repository names or source code is disclosed.
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