Ask an AI agent to build a backend endpoint and it makes six decisions you already settled years ago: authentication, access control, tenancy, validation, logging, data access. It settles them again, differently, every time. That is drift, and it is not a model problem. It is an onboarding problem. At Albert we run 100+ microservices with 10+ backend engineers. This session shows the middleware, libraries, generated contracts and one written page we built so AI stops rewriting boilerplate and spends its whole attention on the only code that is actually ours: the feature.
Key Takeaways:
1. Drift is real and measurable, and it lands on the same six jobs every time.
2. The gap is onboarding, not the model
3. Boilerplate belongs to libraries, not agents
4. Point AI at the feature, where no library can help
5. Start with one job, one page, one service, then measure
- Date:22/08/2026
- Time:11:20
- Event:SDLC 2.0: The Agentic Shift @Chennai
