The "MTTR Is All You Need" Trap
The article discusses the dangers of relying solely on Mean Time to Recovery (MTTR) in software development. It highlights the phenomenon of 'AI psychosis,' where teams may overlook underlying issues due to a false sense of security from automated systems. The author shares personal experiences and emphasizes the importance of maintaining a comprehensive understanding of the codebase and its failure modes.
- ▪The author describes a situation where a system reported successful runs but produced no output due to a hidden bug.
- ▪Mitchell Hashimoto warns that relying on MTTR can lead to a 'resilient catastrophe machine' in software development.
- ▪The author outlines three disciplines to avoid falling into the MTTR trap: documenting failure modes, treating test suite results with caution, and reviewing code changes carefully.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3949426) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Amar Gupta Posted on May 24 • Originally published at amargupta.tech The "MTTR Is All You Need" Trap #agents #ai #devops #softwareengineering There is a specific moment in a system's life when the dashboards still look green, the test suite is still passing, the bug report rate is still falling — and the codebase has already become something no human in the room actually understands. Mitchell Hashimoto called this out yesterday in a thread that has now passed 487,000 likes.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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