Decispher is a tool that captures and records engineering decisions from team conversations, enhancing AI coding sessions.

How does Decispher work?

It integrates with Slack, GitHub, and Jira to capture decisions and serve them to users and AI agents via the Model Context Protocol.

Is Decispher free to use?

Decispher offers a freemium model, allowing users to access basic features for free.

Who can benefit from using Decispher?

Engineering teams and AI developers looking to improve decision tracking and coding efficiency can benefit from Decispher.

What problems does Decispher solve?

It solves the issues of knowledge gaps between AI agents and teams, helping to prevent bugs and reduce onboarding times.

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Decispher

Name: Decispher demo
Uploaded: 2026-07-10T14:23:16.656Z
Description: Decispher is the system of record for engineering decisions. It captures decisions, constraints, and rejected alternatives from Slack, GitHub, and Jira, records every AI coding session as a Branch Story, and serves it all back to your agents over MCP. Your AI coding tools get the memory they're miss

Week 29, 2026

The Flight Recorder for AI Coding

Jul 10, 2026#2AI, Productivity, DevTool

KMHATMMRFS

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74 upvotes

Decispher — The Flight Recorder for AI Coding

About Decispher

Decispher is the system of record for engineering decisions. It captures decisions, constraints, and rejected alternatives from Slack, GitHub, and Jira, records every AI coding session as a Branch Story, and serves it all back to your agents over MCP. Your AI coding tools get the memory they're missing; your team gets a reviewable record of why the code looks the way it does. In our A/B tests, agents working from Decispher context used 35-65% fewer tokens and stopped re-introducing approaches the team had already rejected. The open-source wedge, Decision Guardian, checks every PR against your recorded decisions: 2,100+ decisions surfaced at PR time so far.

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Demo video

Overview

Who is it for?

Engineering teams that use AI coding agents (Cursor, Claude Code, Copilot) and are tired of re-explaining the same context to every agent, every task.

Problem

Decispher addresses the knowledge gap between AI agents and engineering teams, ensuring that critical decisions and conventions are documented and accessible. This helps prevent the reintroduction of bugs, reduces token waste, and shortens onboarding times for new engineers.

Solution

By integrating with Slack, GitHub, and Jira, Decispher captures and structures the tacit knowledge that resides in team conversations. It automatically serves this context to both human users and AI agents, allowing them to access the information they need without manual documentation.

What makes it unique

Decispher uniquely combines decision capture from multiple sources into a single system of record, enabling engineers and AI agents to work with a shared understanding of past decisions. It's the only tool that captures the "why" (decisions, constraints, rejected alternatives) across Slack, GitHub, and Jira and makes it both queryable by agents over MCP and enforceable at PR time. Agents don't just read the record; they write back to it, so every run makes the next one smarter.

Use cases

1Capture engineering decisions
2Improve AI coding efficiency
3Streamline onboarding for new engineers

FAQ

What is Decispher?: Decispher is a tool that captures and records engineering decisions from team conversations, enhancing AI coding sessions.
How does Decispher work?: It integrates with Slack, GitHub, and Jira to capture decisions and serve them to users and AI agents via the Model Context Protocol.
Is Decispher free to use?: Decispher offers a freemium model, allowing users to access basic features for free.
Who can benefit from using Decispher?: Engineering teams and AI developers looking to improve decision tracking and coding efficiency can benefit from Decispher.
What problems does Decispher solve?: It solves the issues of knowledge gaps between AI agents and teams, helping to prevent bugs and reduce onboarding times.