WorkOS Practice: Mining Deep Logic Bugs with AI Prompts
Saul_Loveman · x · 2026-08-07
Auth platform WorkOS shared how they scaled a bug-finding prompt into a comprehensive automated code review pipeline.
- Uncovering Deep Bugs: Their refined prompt successfully surfaced complex logic vulnerabilities missed by traditional automated tools and manual reviews. These bugs typically take senior security researchers days of data flow tracing to uncover.
- Building the Pipeline: Built upon Trail of Bits' public code auditing skills, WorkOS constructed an internal AI pipeline that has run over 1,000 scans and identified multiple high-severity issues.
- Enhancing Review Value: The pipeline continuously scans the codebase, keeping the human code review queue highly valuable and actionable.
More from coding & agent
- Is Claude Code Enough? Dev Questions Value of New AI Subscription Tools — MaxLenormand · 2026-08-07
- Noether: Open-Source Tool to Automatically Prove Math Properties of JAX Code in Lean — jonkhler · 2026-08-07
- AI Agent Architecture: Lazy-Load Files, Subagents as Tool Calls — yacineMTB · 2026-08-07
- YC Says Solo Founders Can Hit $1B Valuations: A Codex Agent Workflow Guide — VibeMarketer_ · 2026-08-07
- Open-Source Project Prod Forge: A Reference Architecture for AI-Assisted Production Systems — tom_doerr · 2026-08-07
- Hands-on with Papers with Code's New Chat UI: Integrating Exa Search and DeepSeek — NielsRogge · 2026-08-07