Build a Fully Autonomous Multi-Agent Debugging and Verification Pipeline for Vendure

Build a Fully Autonomous Multi-Agent Debugging and Verification Pipeline for Vendure

Hello,

We are looking for an experienced engineer with Vendure or a closely related Node.js/TypeScript e-commerce background to customize a fully automated debugging, testing, and delivery-verification pipeline.

We already have a working pipeline prototype. The current design uses CAO as the coordination and supervision layer, OpenHands or CrewAI as bounded code-execution and collaboration workers, and Buzz for model or backend routing.

The intended flow is:

Natural-language objective → task decomposition and planning → bounded code changes → debugging and testing → browser-based E2E verification → necessary load and security checks → reproducible delivery evidence and rollback information.

The existing framework provides part of the coordination, code-execution, and evidence-collection foundation. We need an engineer to complete the technical-review layer for genuinely unattended, end-to-end website debugging: identify missing decisions, tests, failure handling, and acceptance gates, then implement them as a repeatable automation process.

Relevant technical areas include Node.js, TypeScript, NestJS, GraphQL, TypeORM, PostgreSQL, Next.js, React, Redis, BullMQ or equivalent job queues, Docker, Git/GitHub, CI/CD, browser E2E testing, automated regression, multi-agent orchestration, tool use, bounded retries, permissions, observability, load testing, and authorized security or red-team checks.

The acceptance case is a redacted Vendure secondary-development migration. Acceptance requires reproducible E2E verification, a load-testing report, an authorized red-team testing report, clear failure evidence, a change summary, runtime identity, and rollback information.

You may use your own AI programming or debugging pipeline and are not required to follow our architecture. OpenHands, CrewAI, or other mature open-source tools are acceptable. We prefer free open-source software and no additional software or service costs for the client.

Expected outcome:
1. Accept a concrete debugging, migration, or feature objective.
2. Inspect code and runtime, plan the work, and execute bounded changes.
3. Run appropriate unit, integration, browser E2E, and necessary load or security checks.
4. Preserve evidence and stop safely on failure instead of claiming success.
5. Produce reviewable test results, change summaries, runtime identity, and rollback information.
6. Leave humans primarily responsible for final acceptance, not step-by-step operation.

This is a small, focused first implementation with a target timeline of approximately 7 days. Please provide:
- A one-time fixed-price quotation for the complete scope;
- Expected delivery timeline;
- A brief technical proposal;
- Relevant experience with Vendure, NestJS/GraphQL, e-commerce backends, browser testing, AI agents, or automated debugging;
- Your recommended tools, replacement options, and main risks.

This is intended as a fixed-price, one-time project, not an open-ended hourly engagement. The public project briefing can be shared after initial discussion; private repositories, legacy code, test materials, credentials, and internal contracts will not be shared publicly.

Public project briefing:
https://github.com/vendure-ai-factory/vendure-project-briefing