Datadog's AI-Powered Test-Driven Migration Success
The 45-minute operation that nobody wanted to touch
Datadog's Stream Router was bleeding milliseconds. As the routing table grew, the most demanding operations ballooned to 45 minutes — executed across thousands of sequential round trips to a key-value store that was never designed to behave like a relational database. That's the kind of perf cliff where most teams start scheduling a rewrite, freeze new features, and quietly look for other jobs.
What Datadog actually did is more interesting than a rewrite. They used Claude and Cursor to accelerate a test-driven refactor of the existing codebase, kept production running on the old model while the new model landed in parallel, and shipped without a feature freeze.
This is an excerpt. Read the full post at otf-kit.dev/blog/datadog-ai-migration — full-stack kits your AI coding agent can actually ship to production. Browse the kits →
Ship the product, not the setup.
- 11 production screens — auth, billing, team, analytics, settings
- Real database, payments, and login — all wired on day 1
- AI configs pre-tuned so your agent extends instead of regenerates