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AI-driven software development pipeline diagram with Developer, Tester, Execution, and Decision agents, featuring glowing circuits.

AI-driven software development pipeline diagram with Developer, Tester, Execution, and Decision agents, featuring glowing circuits.

Design a fully automated AI-driven software development pipeline where code is continuously generated, tested, reviewed, and improved until it reaches production quality. System Requirements: 1. Create a multi-agent workflow with the following agents: - Developer Agent: generates and improves code based on requirements and feedback - Tester Agent: performs strict QA, identifies bugs, and generates test cases - Execution Agent: runs the generated code and executes unit/integration tests - Decision Agent: evaluates results and decides whether to continue or stop 2. Define the workflow loop: - Accept a business requirement as input - Developer Agent generates initial code - Execution Agent runs the code and test cases - Tester Agent analyzes code + test results and returns structured feedback - Decision Agent checks: • test results (pass/fail) • severity of issues • code quality - If failures or critical issues exist: → send feedback back to Developer Agent → regenerate improved code - Repeat the loop until: ✔ all tests pass ✔ no critical issues remain ✔ output is production-ready 3. Enforce structured outputs for all agents: - Developer Agent → full modular code - Tester Agent → JSON with issues, severity, and recommendations - Execution Agent → test results (passed, failed, errors) - Decision Agent → PASS or LOOP decision 4. Include technical implementation details: - Suggested tech stack (Node.js or Python) - API-based AI integration (Claude or similar) - File structure and Mehr sehen