FUNDING · CODING · #3486
AWS introduces Agent Development Lifecycle (Agent DLC) with reference implementation
AWS/authorial post describes the Agent Development Lifecycle (Agent DLC), a standard and workflow for evaluating LLM-based agents for production. The post explains three agent-specific properties that require additional checks beyond traditional CI/CD, defines metrics (groundedness, chunk- and fact-level source precision, retrieval coverage, response precision), and publishes an AWS Samples repository with a narrow HR policy assistant reference implementation and evaluation scripts (including 09-run-eval.sh and 10-optimize-prompt.sh).
KEY POINTS
- AWS/authorial post describes the Agent Development Lifecycle (Agent DLC), a standard and workflow for evaluating LLM-based agents for production.
- The post explains three agent-specific properties that require additional checks beyond traditional CI/CD, defines metrics (groundedness, chunk- and fact-level source precision, retrieval coverage, response precision), and publishes an AWS Samples repository with a narrow HR policy assistant reference implementation and evaluation scripts (including 09-run-eval.sh and 10-optimize-prompt.sh).
- Provides a repeatable lifecycle, explicit acceptance standard, and tooling for diagnosing non-deterministic and data-dependent failures in production LLM agents.
WHY IT MATTERS
Provides a repeatable lifecycle, explicit acceptance standard, and tooling for diagnosing non-deterministic and data-dependent failures in production LLM agents.