We found 118 performance bugs across 2 PRs written with Claude Code
14 hours ago
- #performance optimization
- #AI coding
- #technical debt
- Claude Code shipped two major features: Java language support and React framework support.
- Codeflash identified 118 functions running up to 446x slower than necessary across two PRs.
- Performance issues included inefficient algorithms, redundant computation, missing caching, and suboptimal data structures.
- AI coding agents prioritize correctness over performance, leading to technical debt.
- Optimization requires iterative benchmarking and system-level reasoning, which LLMs lack.
- 90% of AI-suggested code optimizations are incorrect or provide no real benefit.
- Newer LLMs like Claude 4.6 Opus still struggle with performance optimization.
- AI-generated code runs 2-5x slower, increasing compute costs.
- 52% of engineering leaders report performance problems due to increased AI usage.
- Teams need to add a performance layer to their development workflow to address this issue.