tenet

DAG-based job orchestration coordinates long-running autonomous development workflows by managing multi-phase crystallization, applying evaluation gates, and utilizing safety checkpointing to execute iterative tasks end-to-end.

Automating multi-phase software project execution is best handled through an interview, spec, visual, and decomposition workflow, capturing decisions via journal management to ensure complex iterative builds proceed autonomously through continuous evaluation.

To bootstrap an autonomous build using MCP tools, run npx tenet init in your project root directory to initialize the crystallization workflow, establish safety checkpoints, and integrate MCP tooling for health checks and steering.

Yes, you can use safety rollbacks during autonomous task orchestration; the system integrates MCP tooling for continuous health checks and steering, allowing automated rollbacks at evaluation gates if long-running development phases fail safety criteria.

You need a knowledge journal for autonomous build runs to capture learnings and decisions throughout the multi-phase workflow, ensuring that iterative development context is preserved and applied during continuous evaluation and steering.

You should avoid using DAG-based job orchestration for development runs that do not require multi-phase crystallization or continuous evaluation, as the overhead of safety checkpointing and journal management is unnecessary for simple, short-duration tasks.