Agent-Assisted SDLC is a sample software development pipeline in which an AI coding assistant reads an issue, changes a codebase, and opens a pull request through Amazon Bedrock AgentCore. Developers use it to automate work from an issue to a proposed code change, with a shared orchestration process and repository-specific guidance. The catalogue entries provide the skills, agents, plugin, hook, and instruction used by this workflow.
Borrowing it
Nothing to install: this file belongs to aws-samples/sample-agent-assisted-sdlc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aws-samples/sample-agent-assisted-sdlc/main/CLAUDE.mdgit clone --depth 1 https://github.com/aws-samples/sample-agent-assisted-sdlcWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/aws-samples/sample-agent-assisted-sdlc/claude-md)<a href="https://agentmods.dev/instructions/aws-samples/sample-agent-assisted-sdlc/claude-md"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-agent-assisted-sdlc/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/aws-samples/sample-agent-assisted-sdlc/claude-md"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-agent-assisted-sdlc/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02945 | $0.02945 |
| Opus 5.5 | $0.01178 | $0.01178 |
| Sonnet 5.5 | $0.00589 | $0.00589 |
| Haiku 4.5 | $0.00295 | $0.00295 |
Grade C, and why
sample-agent-assisted-sdlc CLAUDE.md scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- Do not use `curl ... | bash` without downloading to a file first (supply chain risk). Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Do not use `curl ... | bash` without downloading to a file first (supply chain risk). How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent-Assisted SDLC
Agentic SDLC platform on Amazon Bedrock AgentCore. GitHub issues → autonomous coding → pull requests.
Commands
npm install # Install CDK dependencies
npx cdk synth --quiet # Validate TypeScript + cdk-nag (run before every commit)
npx cdk deploy --all # Deploy all stacks
npx cdk deploy {project}-assistant # Deploy just the coding assistant stack
npx cdk ls # List stacks
npm test # Jest snapshot tests
Architecture
6 CDK stacks deployed in order: Infra → SourceControl → ProjectManagement → DeveloperMcp → Gateway → Assistant. Config in sdlc-config.yaml (copy from sdlc-config.template.yaml). Stack names prefixed with project: field from config.
Key paths:
lib/nested/*-stack.ts— stack definitionslib/constructs/— reusable CDK constructslib/config.ts— config schema +getAssistantDir()mappingcoding-assistants/{claude-code,kiro,codex}/— container images + pluginsproject-management/shared/assistants/— per-assistant invocation strategiesgateway/developer-mcp-servers/— developer tool MCP servers (FastMCP)
Languages by Directory
| Directory | Language | Package Manager |
|---|---|---|
lib/, bin/ |
TypeScript (strict, NodeNext) | npm |
gateway/gateway-iam-proxy/ |
Node.js (ESM) | npm |
project-management/shared/ |
Python 3.12 | pip (requirements.txt) |
project-management/github/mcp/ |
Python 3.12 + Go (github-mcp-server binary) | uv |
source-control/github/mcp/ |
Python 3.12 + Go | uv |
gateway/developer-mcp-servers/ |
Python 3.12 (FastMCP) | uv |
coding-assistants/*/runtime/ |
Python 3.12 (FastAPI health server) | uv or pip |
coding-assistants/claude-code/plugin/hooks/ |
Bash | — |
test-scripts/ |
Bash | — |
Conventions
- License: Apache-2.0. All Python files have
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.+# SPDX-License-Identifier: Apache-2.0header. - CDK constructs use cdk-nag (AWS Solutions checks). Suppress with
NagSuppressions.addResourceSuppressions()and a justification string. - Python formatting: no specific formatter enforced. Follow existing style in each file.
ruff checkmust pass. - TypeScript: strict mode, no implicit any.
- Dockerfiles: pin all dependencies (
pip install pkg==x.y.z,npm install -g [email protected],git clone --branch vX.Y.Z). - MCP servers use FastMCP with streamable-http transport on port 8000.
- Health servers use FastAPI on port 8080 (
/ping,/health,/invocations). - Python logging: never call
print(). Importget_loggerfromshared/log.py(or the runtime-local duplicate) and emit structured records. Use%-style messages (logger.info("event %s", value)); pass structured fields viaextra={...}. The canonical secret-redaction helper isredact()fromshared/log.py. Process-boundary catch-alls (Lambdahandler, FastMCP tools) uselogger.exceptionand return a structured error; everything else raises a named exception (WorkspaceSetupError,RuntimeCommandError,TokenError— seeshared/errors.py). - Runtime images that build with
s3_assets.Asset({path: <runtime-dir>})carry a duplicatelog.pyin the runtime directory. The canonical file isproject-management/shared/log.py; each duplicate has a "DUPLICATE OF — keep in sync" banner at the top.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 172 lines · 2,945 tokens per session scan C e51b1a2cfa31
sample-agent-assisted-sdlc CLAUDE.md is an instructions file published in the GitHub repository aws-samples/sample-agent-assisted-sdlc (47 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 2,945 tokens to every session, about $0.0118 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-20.
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