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AI coding made us faster. Why did incidents increase?

Parthiban Rajasekaran· ·14 min read · 0 reactions · 0 comments · 41 views
AI coding made us faster. Why did incidents increase?
TL;DR · WeSearch summary

The introduction of AI coding assistants has led to increased speed in software development but also a rise in incidents. While teams experience improved velocity metrics, they also face higher change failure rates. The effectiveness of AI tools largely depends on the existing delivery practices within organizations.

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LeadDev · Parthiban Rajasekaran
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Original publisherLeadDev
Canonical URLhttps://leaddev.com/ai/ai-coding-made-us-faster-why-did-incidents-increase
Publication timeTue, 19 May 2026 13:04:09 +0000
Retrieval time2026-05-19T13:14:57.701Z
Last seen2026-05-19T13:14:57.701Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterhO0pvo71KZya
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

AI AI coding made us faster. Why did incidents increase? AI coding made us faster. Why did incidents increase? Faster code. Slower, harder incidents. By Parthiban Rajasekaran May 19, 2026 You have 1 article left to read this month before you need to register a free LeadDev.com account. Estimated reading time: 7 minutes Key takeaways: AI amplifies whatever your delivery process already is. Strong practices get faster. Weak ones get paged at midnight. The self-grading loop is your biggest hidden risk: when the model writes code and tests, it tests its own assumptions. Observability is a release gate, not an afterthought. Across engineering organizations, a pattern has become consistent.

Excerpt limited to ~120 words for fair-use compliance. The full article is at LeadDev.

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