@mattpocockuk: The "should you read code" debate is dumb because the real decision isn't binary, it's a scale: 1. Reading every line o…
Summary
Matt Pocock argues that the decision to read code during code review is not binary but a spectrum, listing seven levels of engagement from reading every line to letting models handle everything.
View Cached Full Text
Cached at: 07/05/26, 10:30 AM
The “should you read code” debate is dumb because the real decision isn’t binary, it’s a scale:
- Reading every line of every diff
- Scanning every diff, reviewing important lines
- Ignoring diffs but understanding the ‘why’ of every PR
- Spot checking PR’s instead of reading every one
- Ignoring PR’s, but doing regular spot checks on the codebase
- Ignoring the code, but spot checking agent traces to help improve the system
- Ignoring both the code and the system, let models handle everything
Where are you on the scale?
Similar Articles
Reviewing code requires reading
A developer blog post argues against the idea of shipping AI-generated code to production without reading it, emphasizing that code review serves critical purposes: diffusing responsibility, reducing bus factor, and maintaining team knowledge of the codebase.
@mattpocockuk: Cursor shipped a /thermo-nuclear-code-review for the TOUGHEST AI code review possible. But is it any good? Let's dive i…
Cursor has shipped a new 'thermo-nuclear' code review feature for aggressive AI code review. Matt Pocock reviews its effectiveness.
@mattpocockuk: I feel like I've developed a clear rationale for when to /compact, when to /clear, and when to /handoff But I'm having …
Developer Matt Pocock asks for community input on the mental model for choosing between /compact, /clear, and /handoff commands in a coding tool (likely Cursor).
@SaitoWu: https://x.com/SaitoWu/status/2053101671035851216
The article summarizes a talk by Matt Pocock criticizing 'specs-to-code' approaches, arguing that solid software engineering fundamentals like TDD and modular design are more critical than ever for effectively using AI coding assistants like Claude Code.
@svpino: If you are reviewing 100% of your AI-generated code by hand, you aren't moving fast enough. It's just impossible. Revie…
The tweet argues that manually reviewing all AI-generated code creates a bottleneck and links to a resource for a better approach.