Coding Agents on Amazon Bedrock AgentCore Runtime

Run multiple coding agents (Claude Code, Claude Code validator, opencode) in parallel on Amazon Bedrock AgentCore Runtime, orchestrate them from one chat, grade their output deterministically with pytest, and govern the fleet (identity, per-user cost, observability).

This repo is the full workshop payload. Clone it and follow the workshop content; every step is reproducible with the CLI, starting from this one clone.

This repository is the single source of truth for all demo and harness code. The matching Workshop Studio teaching content (guided lab pages and the CloudFormation template) is published on Workshop Studio; the CloudFormation bootstrap clones this repository directly into the box home, so the customer-reproducible path is exactly a git clone of this URL (which yields ~/sample-amazon-bedrock-agentcore-coding-agents) followed by the CLI steps the workshop teaches.

This repository is also a GitHub template. In Module 1 of the workshop you click Use this template -> Create a new repository to get your own isolated copy (no fork, no shared credentials): the sample module it ships (usecase-sample-to-mcp/cost_analyzer.py) is the raw material the coding agents transform, and the Module 2 pull request the orchestrator opens lands on that per-attendee repository through the GitHub App gateway.

Layout

• coding-agents/ the three coding-agent harnesses (container + setup.sh + deploy.py + connect.py) and shared infra/gateway
  • claude-code/ backend MCP-server builder (Claude Code, native Bedrock)
  • claude-code-validator/ acceptance-contract validator (Claude Code, native Bedrock; steered by a harness:gate CLAUDE.md)
  • opencode/ frontend chatbot UI builder (opencode, native Bedrock)
  • kiro/ legacy restore path (hidden; kept restorable like codex/, not on any served roster)
• orchestrator/ the Strands orchestrator engine (router, engine, executor, reviewer, github)
• orchestrator-agent/ the deployable Strands agent bundle
• console/ the React + FastAPI console (Agents / Fleets / Governance)
• interactive-api/ metrics-api/ the Stage 1 interactive + Stage 3 metrics engines
• usecase-sample-to-mcp/ the use case: a plain Python module (cost_analyzer.py, the input the agents transform; also the grading reference) plus the pytest grading contract
• harness-skills/ agent skills used to configure the harnesses
• e2e/ the end-to-end workshop journey + integration suite

Tests

The full suite is collected from this repo root:

python3 -m pytest -q

pytest.ini declares the testpaths; the root conftest.py isolates GitHub / runtime credentials so no test can read a real token or open a real pull request.

License

MIT-0. See LICENSE.