Before
- Agent execution depended on a developer's laptop and working hours.
- Most developers handled one agent task at a time.
- Limited execution capacity constrained delivery velocity.
Autonomous development
3 teams · 24 developers
Three teams increased total delivery of changes by moving coding agents to a cloud platform that ran around the clock. Developers dispatched work in parallel and returned to tested changes ready for review.
Impact
Cloud execution kept changes moving during the day and overnight.
The teams already used coding agents effectively, but execution depended on developers' laptops and working hours. Work stopped when laptops closed, and developers waited for one agent to finish before starting another task.
The teams needed more execution capacity to deliver changes during the day and overnight without weakening review or release control.
Cortiscale built a task queue connected to the teams' repositories and issue tracker. Each agent received an isolated workspace with the right dependencies, scoped access, and automated tests. Run logs made progress and failures visible.
Developers split work into separate tickets and dispatched several agents at once. Separate branches, concurrency limits, and clear ownership reduced conflicts. Changes touching the same code were sequenced.
Developers queued approved changes before leaving. Agents implemented changes, ran checks, and opened pull requests overnight. Failed or ambiguous tasks stopped with a clear handoff, and retry limits prevented endless runs. Developers reviewed the completed work the next morning; people still approved merges and releases.
The teams' total delivery of changes increased 4–7× through parallel execution. Developers could coordinate 2–4 agents at once, with overnight execution adding capacity between development shifts.
Developers became coordinators of several ongoing tasks. The cloud platform supplied execution capacity during the day and overnight, while the team kept responsibility for review, merging, and release.
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