imbue-ai

imbue-ai / blueprint

Public

Planning copilot for coding agents

37
5
100% credibility
Found May 02, 2026 at 37 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Blueprint is a planning assistant for AI coding tools that interviews users with targeted questions to create executable project plans.

How It Works

1
🔍 Discover Blueprint

You hear about Blueprint, a helpful guide that asks smart questions to plan your coding projects before jumping in.

2
➕ Add to Your AI Helper

You easily add Blueprint to your AI coding assistant so it's ready to help with planning.

3
💭 Describe Your Task

You tell Blueprint a simple description of what you want to build, like adding a feature to save time.

4
❓ Answer Easy Questions

Blueprint looks at your project and asks quick multiple-choice questions to understand your goals and catch any missed ideas.

5
✨ Create the Plan

Once you're happy, you tell it to generate a clear, step-by-step plan saved as a simple guide.

6
✏️ Refine if Needed

You chat to tweak the plan or spot any open questions, making it perfect for your needs.

🎉 Build with Confidence

Hand the plan to your AI coder, and watch it build exactly what you envisioned without guesswork.

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AI-Generated Review

What is blueprint?

Blueprint is a planning copilot for coding agents, installed via npx on skills.sh and compatible with Claude Code, Gemini CLI, or Pi agent. Give it a task like "/blueprint Add caching layer," pick a template, answer its codebase-aware multiple-choice questions, then run "/blueprint-generate" for a markdown plan in blueprint//plan.md. It fixes agents that dive straight into code without clarifying your intent, surfacing gaps early.

Why is it gaining traction?

Unlike github copilot planning mode or copilot planning visual studio tools that unblock the agent first, Blueprint prioritizes you with iterative Q&A, catching oversights like "things you didn't think to think about." It beats spec generators by building your plan from answers upfront, not revisions. With templates for features or concise overviews, plus VS Code extension support, it hooks devs in copilot planning mode workflows, standing out from niche repos like frigate blueprint github or github blueprint home assistant.

Who should use this?

Backend devs tackling large features or subsystems on existing codebases, AI researchers prototyping experiments, teams planning greenfield projects with agents. Perfect for demand planning copilot needs in complex apps, like blueprints arc raiders-style strategies, but skip small refactors, debug tweaks, or visual frontends.

Verdict

Try it if you're deep in github copilot agent planning—solid workflow and docs make the 37 stars and 1.0% credibility score (just README, no visible code) forgivable for early adopters. Maturity is low, so test on non-critical tasks first.

(198 words)

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