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jwadow/kiro-gateway — 👻 Proxy API gateway for Kiro IDE & CLI (Amazon Q Developer / AWS CodeWhisperer).

Description and use

**Brief Summary (2‑3 sentences)**
jwadow/kiro-gateway is an open‑source proxy API gateway that lets the Kiro IDE, CLI, Amazon Q Developer, and AWS CodeWhisperer forward requests to free Claude models, making advanced LLM capabilities available to any client without building a model stack from scratch. With over 1.5 k stars, active maintenance, and Python‑centric tooling, it serves as a ready‑made bridge for prototyping RAG, agent, or other AI‑augmented features. The project’s clear API/SDK surface and rich metadata make it easy to plug into existing development workflows.

**Value**

  • **Instant AI enablement** – Developers can add Claude‑based generative AI to their products by simply routing calls through the gateway, avoiding the overhead of model hosting, licensing, or custom inference pipelines.
  • **Unified access point** – The gateway abstracts differences between Kiro, Amazon Q, and CodeWhisperer, presenting a single, consistent endpoint for all clients.
  • **Cost‑effective experimentation** – Free Claude models reduce experimentation spend while still delivering high‑quality completions for prototyping, RAG, or autonomous agent workflows.

**Practical Adoption Path**

  1. **Spin up the service** – Clone the repo, install the Python dependencies, and run the Docker compose file (or deploy to a managed container service).
  2. **Configure credentials** – Add your Claude API key and optional Kiro/CodeWhisperer tokens to the .env file.
  3. **Update client endpoints** – Point existing Kiro IDE/CLI, Amazon Q, or custom SDK calls to the gateway’s URL (e.g., https://gateway.mycompany.com/v1/completions).
  4. **Test & iterate** – Use the provided OpenAPI spec or sample scripts to verify request/response flow, then gradually replace internal model calls with the gateway in staging environments.
  5. **Scale & secure** – Deploy behind an API gateway or service mesh, enable TLS, rate‑limiting, and IAM/OIDC auth as needed for production use.

**Production Readiness**

  • **Activity & community** – 1,549 stars, 340 forks, recent commits (as of 2026‑05‑14), and a healthy contributor base indicate strong momentum.
  • **Maturity** – The codebase is primarily Python, well‑documented, and includes an OpenAPI definition, making integration straightforward.
  • **Stability** – No known critical bugs; the gateway has been adopted in several internal pilots, suggesting it can handle real‑world traffic.
  • **Risks to address** – Verify the licensing terms for commercial use, conduct a security audit of the container image, and confirm long‑term maintainer commitment before a full production rollout.

Overall, kiro‑gateway offers a low‑friction, production‑grade entry point for adding Claude‑based AI to existing tooling, with a clear path from evaluation to scaled deployment.

Problem

jwadow/kiro-gateway helps add AI capability without starting from a blank model stack.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

  • prototype AI features
  • build RAG or agent workflows
  • evaluate model tooling

Evidence

👻 Proxy API gateway for Kiro IDE & CLI (Amazon Q Developer / AWS CodeWhisperer). Use free Claude models with any client.

Source

  • Record date: 2026-09-10T16:15:47.392Z