Situation
A scale-stage technology company relied on internal coding assistants embedded in daily engineering workflows. Models were pinned to a prior generation that vendors were deprecating.
What was at stake
Long-context tasks showed silent quality drift. Engineers did not trust suggestions on large refactors. A big-bang upgrade risked breaking CI integrations and losing a week of velocity.
What Threesixty did
Built golden test suites for critical workflows: codegen, test generation, and internal API scaffolding.
Ran parallel shadow traffic against the next model generation with automated quality scoring.
Refactored prompts with regression gates: dev, then staging, then canary with instant rollback on failure.
Coordinated change windows with platform teams and documented leadership-ready migration report.
Technical approach
Command Center release pipeline with per-agent staging, canary traffic split via gateway routing, automated regression gates on prompt and model changes. Cost dashboards track per-team token budgets with alerts. Instant rollback restores last-known-good agent config from gateway-orchestrated backups.
Results
- Achieved 99.2% regression pass rate across staged rollout with zero planned downtime windows.
- Token costs dropped twenty-two percent versus the prior generation at comparable task volume.
- Engineering leadership received a migration narrative suitable for board and vendor reviews.
- Rollback path tested in production, teams shipped the upgrade without a weekend war room.