I created Decispher (decispher.com) to enable human developers and AI agents working alongside each other to share their context.
It has some pretty cool features, like Branch Story (explains why a branch's code looks the way it does) and Session Context Transfer (an MCP tool that can copy context from one chat, agent, or machine to another).
As AI agents write more of your code, reviewing it becomes the bottleneck. Branch Story reconstructs how any branch or PR came to be, the decisions it relied on, the constraints it worked under, the questions it asked, and where a human steered it, so you read the reasoning first and the diff second. It works for human-written branches too. Part of Decispher, the system of record for engineering decisions.
Your AI agent writes confidently wrong code because it doesn't know why your codebase is the way it is. Decispher captures the decisions, conventions, and constraints from your Slack, GitHub, and Jira, then serves them on demand to your team and your AI agents (Claude Code, Cursor, Copilot). Less token waste, fewer repeated mistakes, one shared place for context. Branch Story keeps the reasoning per branch so you never start a session cold. 50 free credits to try.