Individual AI tools make coding faster for one person, but they do not solve the work that happens between people. More AI-generated code just adds drag to the review queue.
- The problem: AI speeds up solo code creation, but pull request reviews, discussions, and architecture debates still cause bottlenecks.
- The fix: Focus on structured workflows rather than standalone agents. Run agents in isolated sandboxes with explicit human approval gates for critical decisions.
- Why it matters: It brings product managers, designers, and security teams directly into the process. The review load spreads out instead of piling up on senior engineers.
Check out the full article to see how teams are testing agent-run reviews and human-in-the-loop workflows:
Software is a team sport. Most AI tools forgot that.
AI made writing code fast. Upsun product manager Kateryna Dvornichenko on why team collaboration, not individual speed, is the real test for AI agents
upsun.com
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