SAFE-CHANGE
Open Source Developer Tool
Before Safe Change, AI-assisted coding workflows lacked a reliable safety layer. Developers had no simple way to capture a working baseline, detect regressions after AI edits, or protect uncommitted work.
Client:
Self-Initiated Open Source Project
Role:
Product Designer & Developer
Year:
2026
Explore the full story –
Challenge
AI coding agents can modify large parts of a codebase within seconds. Developers risk losing uncommitted work, introducing silent regressions, exceeding change limits, or approving modifications without sufficient evidence.
Objective
Safe Change was designed to record a trusted baseline before AI edits, monitor agent-driven changes, detect regressions, preserve uncommitted work, and provide verifiable evidence through one centralized security dashboard.
Results
Safe Change turns AI coding sessions into controlled and verifiable workflows. Developers can detect failing tests and policy violations, inspect change evidence, preserve their work, and continue only when the repository remains safe.
