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Ship code like a power user from day one.

Syntropy is an autonomous coding agent built for complex long-horizon tasks, that turns a feature description into a fully tested implementation. Instead of babysitting a terminal for hours writing prompts and managing context, just describe what you want, go out for lunch, and come back to a production-ready PR. Syntropy joins your Slack to send you updates, and also supports custom MCP integrations.
Active Founders
Andrew Kuik
Andrew Kuik
Founder
Working on CLI agents @ Syntropy. Stanford '26 CS; previously at AWS, Accenture Feel free to reach out for anything!
Saahil Sundaresan
Saahil Sundaresan
Founder
Building next-gen coding agents @ Syntropy | Stanford CS & Linguistics | formerly at Apple, Amazon Drop a line! saahil@syntropy.io
Company Launches
Syntropy: The agentic coding app for complex tasks
See original launch post

Stop prompting like a power user. Start shipping like one.

Sign up at syntropy.io!

TL;DR: Syntropy is an agentic coding app for spec-driven autonomous development on complex long-horizon tasks, optimized for enterprise-scale projects. Just describe the feature you want, go out for lunch, and come back to a production-ready PR.

The problem

Today’s coding agents work well on short, local tasks. But once you’re doing heavy duty engineering, most tools break for the same reason – not that the models are weak, but because the workflow is missing.

If you’ve used tools like Claude Code seriously, you already know what it takes to get good results: write a plan, have other agents review it, split work into phases, execute step-by-step, write and run tests, review diffs, prevent scope drift, scatter .md files throughout the codebase, and carefully manage session context to prevent decay.

It works … but it’s a far cry from “autonomous” development, and you end up babysitting a terminal for hours. There's also a steep learning curve: only power users can get consistent results.

What we’re building

Syntropy productionizes the workflow a good engineering team operates on, all the way from feature ideation to fully tested PR.

Phase 1: Collaborative specification

You start in a doc. Write your initial idea, and Syntropy runs a structured discovery loop. The spec updates as you go, and you can also edit it directly at any time. You can also consult an advisor agent to research potential tradeoffs, explore and edit files, and run scripts.

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Phase 2: Autonomous execution

Click “Build”, and Syntropy runs a multi-stage pipeline in the background:

  • Generates a PRD from the spec and reviews it (with multiple  verification loops)
  • Decomposes the PRD into detailed subtasks with explicit dependencies
  • Orchestrates multiple sub-agents in parallel in isolated git worktrees
  • Writes/runs tests, fixes failures, and merges everything back into a fully tested PR

Syntropy also joins your Slack to send updates right as tasks complete, and fully supports custom MCP integrations.

We’re lowering the burden of AI adoption, allowing teams to get away from the weeds of a coding terminal and focus on what actually matters: shipping great products, fast.

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Our ask

We’re onboarding teams shipping real features in real repos. Get started today at syntropy.io, or reach out at founders@syntropy.io. If you’re interested in enterprise partnerships, just shoot us an email!

Co-Founders

We’re Stanford CS (BS/MS) students, who bring a background from AI research in both academia and industry – at Apple (Vision Pro R&D), AWS (fintech and ML infra), and Accenture. We’ve experienced first-hand how existing LLM-based developer tools collapse under real-world complexity (think 10k+ line codebases with internal APIs and multiple service integrations), leaving the engineer with a mountain of AI slop, and so we decided to build the truly autonomous coding agent we wish we had.

https://youtu.be/ZJf2W9YiQb0

Syntropy
Founded:2025
Batch:Winter 2026
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Ankit Gupta