Agent-Driven Development

Multi-agent pipeline design that raises team productivity without sacrificing code quality. TDD gates keep AI output verifiable and maintainable.

AI coding tools are getting powerful fast, but most teams are using them wrong. They generate code, eyeball it, and merge—skipping the verification step entirely. I help teams build multi-agent development pipelines where LLMs handle the heavy lifting and TDD gates ensure every line of generated code meets the same correctness standards as hand-written code. The result is higher throughput with the same quality bar.

What this engagement covers

Pipeline Architecture

Multi-agent pipeline design and architecture review. I map out which development tasks benefit from AI assistance and design the orchestration layer that connects them.

TDD Gate Integration

Verification checkpoints for AI-generated code that run automatically. Every piece of generated output passes through the same test gates as human-written code before it merges.

Prompt Engineering

Strategies for consistent, maintainable AI output tuned to your codebase. Context management, few-shot patterns, and constraint techniques that produce code worth keeping.

Adoption Roadmap

A phased plan tailored to your team's stack and comfort level. Starts with low-risk automation and scales up as your verification pipeline matures.

Why teams bring me in for agent-driven development

01

TDD-disciplined AI integration

Practical experience integrating AI tooling into development cycles where test-driven discipline is non-negotiable. Quality gates are the foundation, not an afterthought.

02

Every output is testable

Pipelines designed so every AI-generated artifact is verifiable before merging. If it can't be tested, it doesn't ship.

03

Faster without the tradeoff

Teams that ship faster without losing the correctness guarantees they spent years building. Speed and quality aren't mutually exclusive—they're complementary when the pipeline is right.

Integrate AI without losing code quality

Most teams adopting LLMs in development skip the verification step. I help you build pipelines where AI does the heavy lifting and TDD gates make sure the output is actually correct.

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