When Good Analysis Misses Critical Problems
OpenClaw looked great by every standard metric. Clean code, strong architecture, massive test suite. It also had 8 CVEs. Here's why good analysis isn't enough.
What we're learning about AI-generated code, quality drift, and keeping velocity without the mess.
OpenClaw looked great by every standard metric. Clean code, strong architecture, massive test suite. It also had 8 CVEs. Here's why good analysis isn't enough.
We ran the exact same code analysis on the same codebase with the same LLM. The only variable: which agent CLI executed the work. 2.7x difference in findings. 2.2x difference in cost.
We ran Octokraft's full analysis pipeline on three open-source coding agents. Codex scored an A, Gemini CLI a B+, OpenCode a B. Here's what the data shows -including why one ships with no linter at all.
285,000 GitHub stars. 8 CVEs. 42,000 exposed instances. We analyzed OpenClaw's 1.1 million lines of code across four dimensions. Here's what we found.
Most technical debt processes fail because they rely on separate tracking rituals. The sustainable model is tooling that surfaces friction where work already happens.
More articles coming soon.
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