Test-Driven Development

Test-Driven Development (TDD) is a disciplined coding workflow where tests are written before the implementation they verify. This agent skill automates that discipline end-to-end: it generates failing tests from a feature description or bug report, guides the agent through writing the minimal code needed to make them pass, and then prompts a refactor pass — the classic red-green-refactor cycle — without requiring a human to remember each step manually.

On BusinessMCP, the TDD skill is connected once to your hosted MCP server and then exposed to every AI agent your team runs — Claude, GPT, Gemini, or any model-agnostic client — through a single /api/mcp endpoint secured with a Bearer mcph_* key. Instead of configuring test-driven development workflow automation separately inside each IDE plugin or agent runtime, you wire it into your unified MCP server alongside your other developer-tools skills, databases, and internal APIs, so any agent that talks to your endpoint inherits the same red-green-refactor cycle, test-generation conventions, and coding standards.

This matters most in real engineering workflows: shipping a new feature where an AI agent needs to write the spec test first, fixing a reported bug where a regression test should be generated before the patch, or refactoring legacy code where a safety net of tests must exist before anything else changes. Teams doing AI-assisted pair programming, agent-driven code review, or automated PR generation use the skill to keep quality gates consistent even when different agents or models are doing the actual coding, since the TDD workflow lives on the server rather than in any one tool.

Because BusinessMCP layers a business-intelligence dashboard on top of every hosted skill, engineering leads get visibility into how the TDD skill is actually used — which repos, agents, or teams are invoking test generation most, how often the red-green-refactor loop completes versus stalls, and where test coverage gaps tend to recur — all without cookies or client-side tracking, keeping the setup GDPR-friendly by design. That combination of automated test generation and usage analytics turns test-driven development from a personal coding habit into an auditable, org-wide practice.

The skill pairs naturally with other Developer Tools skills in the same hosted MCP server: language- and framework-specific best-practice skills keep generated code idiomatic, git-workflow automation handles the commit and branch hygiene around each red-green-refactor cycle, and changelog generation can summarize what tests were added and why. Because everything runs through the same /api/mcp endpoint, switching between agents or adding a new model to your stack doesn't require re-implementing the TDD workflow — it's already there, governed by one key, one dashboard, and one source of truth for how your codebase is tested.