SpecsRelay

Turn AI chats into reviewed tasks for local coding agents

1 follower

Turn AI chats into reviewed tasks for local coding agents

1 follower

SpecsRelay captures supported AI web conversations, organizes them into reviewed development requirements using your own API provider, and hands the confirmed task to the local coding agent you choose.

Free

Launch tags:Chrome Extensions•Developer Tools•Artificial Intelligence

Launch Team

Zendesk for StartupsUp to 2 years free for startups + AI Agents & Copilot

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Maker

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Hi Product Hunt — I built SpecsRelay because the model I use to reason through a requirement is often not the coding agent I want to execute it. Today, copying a long AI conversation into another tool can lose decisions, code blocks, open questions, or project context. SpecsRelay creates a deliberate handoff: 1. Capture a supported AI web conversation only when you click. 2. Organize it into a structured development task with your own API provider. 3. Review the summary, open questions, project directory, target agent, and exact prompt. 4. Confirm before SpecsRelay opens the local coding agent with the task prefilled. SpecsRelay is local-first: captured data and settings are stored in Chrome, there is no SpecsRelay relay server, and your API key is not sent to the coding agent. It does not auto-run the task — you stay in control of the final handoff. The Chrome extension is live now. The source isn't public yet; open sourcing is planned for a later stage. I’d especially love feedback on the review step, supported Chatbot/Agent combinations, and what would make the handoff more reliable in your workflow.

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1mo ago

Forum Threads

p/specsrelay

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16h ago

SpecsRelay 1.0.0 update: better long-chat handoffs and model advice

Hi makers! Today's update (September 21, 2026): I've prepared the SpecsRelay 1.0.0 build, focused on the gap between discussing an idea with AI and giving a coding agent a clear task.

What's new:

Long-conversation assistance. Optional TypeSafe Jev support selects relevant older assistant replies before your chosen model organizes the requirements. All user messages and the newest turns stay intact. If Jev is unavailable, SpecsRelay uses the full conversation. When input is reduced, you see an estimated token reduction.

Model and reasoning advice. After the requirements are ready, an optional advisor suggests a model capability tier and reasoning effort. Supported agent families can also receive a concrete model suggestion. You keep control of the agent and model selection.

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