T
TDAD
Pre-change impact analysis for AI coding agents using graph-based dependency mapping
Open SourceFree
About
TDAD (Test-Driven Agentic Development) is a research tool that helps AI coding agents predict test impacts before making code changes. By mapping code dependencies as graphs, it identifies which tests will be affected by proposed modifications, significantly reducing regressions. Designed specifically for autonomous coding agents that need to understand the ripple effects of their changes across large codebases.
Details
| Type | |
| Integrations | |
| Language |
Tags
coding-agentautonomousevaluationopen-sourceframework
Quick Info
- Organization
- Research Project
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Mar 21, 2026
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