Boundaries before execution
Each agent run inherits only the project context and permissions it needs.
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Parallel execution
DeepCodex splits agent runs by responsibility: locate, scan, fix and verify advance in parallel, each lane with its own context, model and budget, then merge into one verifiable delivery.
Interactive showcase
Switch between typical engineering scenarios to see the responsibility chain and model mix. Illustrative only; nothing is submitted.
TypeScript / React
Check the call graph and blast radius in parallel first, fix in one place, then regress in an independent context.
The illustrative setup adapts to the real repository and project profile
Why it works
Parallel execution is bounded by project scope, action permissions, model roles and verification points. Responsibility stays traceable as it scales.
Each agent run inherits only the project context and permissions it needs.
The deep model judges and implements; the fast model scans, checks and summarises.
Every stage produces an artefact, merged at the end into a summary, test results or a PR.
Delivery loop
Roles are not a fixed template. The chain adapts to the project profile and the change at hand.
Pro Max adds cloud agents, workflows and a priority queue; every run keeps clear boundaries, spend and results.