AI Writes Code Faster. Why Hasn’t Delivery?
The article discusses the disparity between faster code generation through AI and the overall speed of software delivery. While AI can significantly speed up coding, the subsequent processes of review, testing, and release remain bottlenecks. The author emphasizes that improving delivery requires changes in organizational processes and clarity in goals, rather than just relying on AI for coding.
- ▪AI can generate code much faster, but this does not equate to faster software delivery.
- ▪The bottleneck in software development has shifted from coding to review, testing, and release processes.
- ▪Successful integration of AI in development requires organizations to streamline processes and clarify goals.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3805236) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Charles Wu for seekdb Posted on May 27 AI Writes Code Faster. Why Hasn’t Delivery? #ai #devops #productivity #softwareengineering The bottleneck didn’t disappear — it moved downstream. When coding gets 10× faster but review, CI, and release don’t, you don’t get 10× delivery. You get a longer queue behind the keyboard. If your stack includes a database layer, that queue often shows up twice — once in application CI, again in migrations, backups, and failover.
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