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Scindo

AI captures decisions, drafts plans, and opens matching PRs.

Productivity
Developer Tools
Artificial Intelligence

Hunted byJinhwan KimJinhwan Kim

Your team agrees on a feature in chat. The AI agent captures every decision, drafts the plan, and opens a PR that matches what was agreed. No more "that's not what we discussed." Shared context between humans and agents — tasks, plans, GitHub, canvas, VS Code, CLI. One workspace from decision to shipped code.

Top comment

Hey Product Hunt! I'm Jinhwan, the founder of Scindo. I kept hitting the same problem on my team — we'd agree on something in Slack, then the developer would open their editor and build from memory. The PR would surprise everyone. "That's not what we discussed." Rework. Again. AI agents are incredible individually, but completely disconnected from your team. Your Claude session has no idea what your PM discussed yesterday. Your Copilot doesn't know the team changed the API contract this morning. Every agent works in isolation. I started building a team chat with an AI bot — basically what everyone else is doing. But I quickly realized chat alone wasn't enough. The real gap was between agreement and execution. So I added plan documents that the agent drafts from discussions, signoffs so the team locks in decisions, and direct GitHub integration so the agent opens PRs from that shared context. Then I built a VS Code extension and CLI because developers shouldn't leave their editor to collaborate. It went from "chat with AI" to a full workspace where decisions flow straight into code. Free for teams up to 3. Would love your feedback!

Comment highlights

The hardest part of tools like this is getting the whole team to use the same workspace — one person going off-channel breaks the whole context chain. How are you thinking about adoption friction, especially for teams where some developers live in the terminal and others in Slack?

Your AI agent lives in one tab.

Your team lives in another.

Context dies every time you switch.

Scindo puts the conversation, the agent, the task, and the document in one thread.

The agent sees what the team sees.

Not a chat app with a bot.

The agentic workspace.

scindo.one

That’s not what we discussed. Rework. Again.” — every engineering team has lived this exact cycle. Question: how does Scindo handle decisions that evolve mid-sprint? If a signoff gets approved but the requirements shift two days later, is there a way to flag downstream PRs that were opened based on the old context? That traceability chain would be incredibly powerful. Congrats on the launch!

Can Scindo handle multiple features discussed at the same time without mixing context?