Review AI code by blast radius, not volume: a 6-step path to production-ready code
MaryamMiradi · x · 2026-10-02
AI coding agents now generate more code than any engineer can read line by line, argues a Chief AI Scientist with 20+ years in the field — so review by risk, not volume. The 6-step system includes:
- Review by blast radius: treat the codebase as a tree; changes touching shared state, auth flows, core APIs, or infrastructure deserve far deeper review than isolated UI components.
- Gate before integrating: put risky functionality behind feature flags, keep new code separate from production integration points, and make rollback part of the architecture — if a change can be safely turned off, you can move faster.
The core claim: direct review effort toward the impact surface of changes, not raw code volume.
More from coding & agent
- Meta paper: branching harness search lifts Olympiad math +34.8% over Meta-Harness — dair_ai · 2026-10-02
- Grok Build v1.0.46/47: MCP reliability, context sync and large-workspace speedups — XFreeze · 2026-10-02
- Seroter: AI agents are making app frontends optional—developers should build CLIs, skills and MCP servers — rseroter · 2026-10-02
- Paul Hudson open-sources a SwiftUI Agent Skill that fixes common AI coding mistakes — davemccollough · 2026-10-02
- Building a local Jev-style System One model: fine-tune 300M or build a custom decision engine? — AbbreviationsLoud182 · 2026-10-02
- A debuggable dev server matters more to your agent than which model you pick — mattpocockuk · 2026-10-02