continuous-agent-loop

To build a continuous autonomous agent loop, orchestrate complex multi-stage agentic workflows by defining entry points, decision flows, and integrated quality gates to ensure strict control and reliable operation.

Quality gates in an autonomous agent loop are integrated evaluation mechanisms that continuously monitor workflow outputs, ensuring strict control and reliable operation by validating results before proceeding to the next stage.

Handle failure recovery in an autonomous agent loop by implementing strategies that address loop churn, repeated failures, and stalls, ensuring the workflow resumes efficiently without manual intervention.

Yes, you can automate a software development pipeline using an autonomous agent loop by decomposing tasks, generating code, running quality checks, and iterating based on evaluation feedback with built-in failure handling.

The best way to decompose RFCs using an autonomous agent loop is to apply orchestration patterns that manage complex agentic workflows, enabling parallel generation and strict control over the decomposition process.

Automated development pipelines experience loop churn due to repeated failures and stalls in the workflow, which can be mitigated by integrating quality gates and recovery mechanisms within the autonomous agent loop.