Product Preview｜Why autonomous development starts with structured code context

Autonomous development pushes agents to change systems they only partly understand, and the misses compound once no human reviews each step. Stronger models made the agents more capable, so they explore more aggressively, opening files, running searches, and re-reading a growing transcript on every step. The token cost climbs while the agent still works from a partial view of the codebase, rebuilding that context from scratch on every task.

Bito Cofounder & CEO, Amar Goel, opens a conversation on what changes when agents run on a structured layer of the whole system, the code, the dependencies, and the decisions buried in past tickets and commits, shown live with AI Architect.

The conversation covers:

1. How much of the pipeline can run without a human reviewing every step
2. Why capable agents miss the blast radius on large, multi-repo systems
3. How structured context lowers the token cost of running agents at scale
4. What separates a context layer that serves a whole team from one engineer's local setup

Expect an open, technical discussion with room for your own questions. Come with the problems you are hitting as you push agents toward more of the work.