Code review is not about catching bugs
The article discusses the role of code review in software development, emphasizing that it is not primarily about catching bugs. Instead, code review serves to determine whether a piece of code should be part of the product based on various judgment calls. The author argues that relying solely on human review for validation is flawed and that production observability is crucial for understanding system behavior.
- ▪Charity Majors argues that the real burden in software development is validation through production observability, not code review.
- ▪The article suggests that code review should focus on whether code aligns with product goals rather than just finding defects.
- ▪The author emphasizes that code review, testing, and observability each serve different but complementary purposes in the software development lifecycle.
2 outlets in our directory ran this story, first to last over 34 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ AI code review checklist that actually catches problems — DEV.to (Top)
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Story provenance
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Record
| Original publisher | davidpoll.com |
| Canonical URL | https://www.davidpoll.com/2026/02/code-review-is-not-about-catching-bugs/ |
| Publication time | Sat, 23 May 2026 20:14:29 +0000 |
| Retrieval time | 2026-05-23T20:37:27.728Z |
| Last seen | 2026-05-23T20:37:27.728Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | yoDdiMzhkDVx · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Code Review Is Not About Catching Bugs Feb 23, 2026 My former Parse colleague Charity Majors – now CTO of Honeycomb and one of the strongest voices in the observability space – recently posted something that caught my attention. She’s frustrated with the discourse around AI-generated code shifting the bottleneck to code review, and she argues the real burden is validation – production observability. You don’t know if code works until it’s running with enough instrumentation to see what it’s actually doing. She followed up by endorsing Boris Tane’s piece arguing that the entire SDLC is collapsing, with monitoring as the only stage that survives.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at davidpoll.com.
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