A full-stack agentic harness on AWS — spin up multi-agent chatbots, voice-to-voice AI, RAG, and an Agent Factory on Bedrock AgentCore. From idea to deployed agent, fast.
Create and update AgentCore runtime agents in a DEPLOYED instance of this accelerator. Use whenever the user wants to create a new agent, build an orchestrator/swarm/graph agent, add or remove tools/MCP-servers/skills from an existing agent, change an agent's model or system prompt, or otherwise modify a live runtime…
Generate matching CDK config.yaml and Terraform terraform.tfvars files from a short description of the features the user wants to deploy (Knowledge Base, Data Processing, AgentCore Runtime, Observability, Experiments, MCP servers, Evaluator, etc.). Use whenever the user says things like "generate a config", "create my…
Propose a Terraform mirror plan for the most recent CDK commit on this branch. Use whenever the user has just committed CDK changes and says things like "mirror this to terraform", "propose tf changes", "what's the terraform equivalent", "tf follow-up", "sync to terraform", or any variation that signals they want the…
Prepare a development branch for a pull request to main. Run /code-review and ASH security scan, auto-fix high-confidence issues, then draft a PR title and body. Use this whenever the user signals intent to open a PR ("create a PR", "open a PR", "ready to PR", "submit PR", "PR this branch", "let's PR this"), even if…
Turn a specs/ .yaml spec into an AI-DLC design-doc.md, entering the pipeline at the design phase (spec is already-refined requirements, so story/refine are skipped).