Show HN: My first SaaS to help human developers and AI agents share context
A developer launched Decispher, a SaaS tool designed to help human developers and AI agents share context. Features include Branch Story, which explains the reasoning behind a branch's code, and Session Context Transfer for moving context across chats, agents, or machines. Context can also be captured from platforms like Slack, JIRA, and Git by tagging @Decispher.
Background
- Decispher is a first-time SaaS project being shared on Hacker News, a community where developers showcase and discuss new tools.
- "MCP" (Model Context Protocol) is a standard that lets AI coding assistants (like Claude Code, Cursor, GitHub Copilot) share context with external tools. Decispher's "Session Context Transfer" feature uses MCP to copy a conversation or project state from one AI session to another — so an AI agent doesn't lose track of what it was doing when moving between chats or machines.
- "Branch Story" generates a plain-language explanation of why a Git branch's code looks the way it does, saving developers from writing those explanations manually.
- The tool captures context from Slack, JIRA, and Git platforms when a user tags @Decispher, logging decisions and reasoning from those tools into a central store.
- The core problem: human developers and AI agents working together often have mismatched context — the AI may not see Slack discussions, JIRA tickets, or meeting notes. Decispher is a context-capture layer that bridges that gap.