Coding with AI Agents: High Throughput vs. Code Quality
AI agents code fast. The problem is not how fast they write. The problem is keeping the code clean and consistent.
I applied this to Project Venom. I wanted to see if you can use AI agents for speed without losing quality.
The results: • 138,011 lines of code written by AI agents • 1,587 commits • 92.2% test coverage • 0 quality issues in SonarQube (started with 1,650 issues)
How did I do this? I built a pipeline. AI writes the code, but the process decides if the code stays.
The workflow follows these steps:
- Human defines the goal and scope.
- AI agent plans and implements the change.
- Local pre-commit checks run static validation and tests.
- GitHub Actions runs CI (linting, contract checks, and architecture guards).
- SonarQube checks for technical debt and complexity.
- AI agents and a human review the Pull Request.
- Merge.
The process has three phases.
Phase 1: Speed. AI agents generate code and unit tests. This expands the project quickly.
Phase 2: Control. I added SonarQube. It found 1,650 issues. I then built local pre-commit gates. AI agents could not finish a task unless they passed these gates.
Phase 3: Stability. The pipeline became part of the daily work. Quality was not a final check. It was a continuous requirement.
Key takeaway for your team: Stop asking which AI agent is the best. The best agent changes every week.
Ask this instead: How do we build a process that safely accepts AI code?
You need a minimal set of tools:
- GitHub repository and Pull Requests
- Pre-commit hooks
- Unit tests
- GitHub Actions
- SonarQube or SonarCloud
- Clear instructions for your agents
- Human and AI reviews
AI coding without a pipeline is just an experiment. AI coding with a pipeline is a professional process.
The agent writes the code. The pipeline protects the project.
How do you work with AI agents? Do you use them as simple assistants, or do they have their own gates and instructions in your process?
Optional learning community: https://t.me/GyaanSetuAi