Scout

Research like an architect. Finish before lunch.

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Inspiration

One of my first experiences as a Software Engineer Intern was implementing a Zoom meeting API into our code. I spent weeks upon weeks, reading documentation, finding which Zoom feature to use, figuring out hidden problems on developer forums, all just to learn the entire API required was completely outdated 2 years ago and incompatible to work with React 19. Hours and hours of work, scrapped for no reason. And I'm sure every software developer, intern, hackathon participant, or website hobbyist has experienced this at some point. That's why I wanted to make a product that shortens that process from 30 hours to 30 seconds.

What it does

We eliminate the professional toil nightmare of manual API research. No more spending 6 hours reading docs just to find out an API is too expensive or doesn't support your framework.

Whether it’s finding the strongest LLM model for your startup, the fastest image recognition API for your company’s codebase, or the cheapest authentication API for your hackathon project, Scout finds the best options for you.

All you gotta do:

  • Send your github repo link
  • Set your expectations - cheapest, best rate limits, most stable
  • Sip a coffee - Our search engine will scan your codebase and search the internet
  • Pick your Fav - You'll get the top 3 APIs on the market that actually fits your code
  • Merge the PR - We'll fork your repo, write the implementation code, and send the pull request

Here's the Magic Behind the Scenes:

  • Codebase Analysis: Powered by Gemini 2.5 Flash. It scans your repo to figure out exactly where the new API needs to live and what your tech stack requires.
  • Live Search: Powered by Exa. We don't use old data; we crawl the live web to find the most up-to-date pricing, rate limits, and documentation.
  • Smart Ranking: Powered by Gemini 2.5. It weighs your "desires" against the documentation to find the perfect technical match.
  • Auto-Implementation: Powered by Devin API. Our agent handles the heavy lifting—forking, coding, and submitting the PR so you never have to write boilerplate again.

How it's Built

We didn't just write code; we orchestrated an entire AI workforce.

  • The Blueprint: We used Claude 3.7 Sonnet as our lead architect to map out the data flow and handle complex bug-fixing logic.
  • The Workflow: We utilized the Devin API's deep research capabilities. We fed Devin a "Megaplan" using its DeepWiki search and specialized sessions to handle the heavy lifting of repository manipulation.
  • The Delivery: Devin didn't just write snippets; it managed the entire lifecycle—forking the repos, running local testing to ensure the integration worked, and handling the final Git push.
  • The Safety Net: We performed final manual reviews and Git diff checks to ensure every Pull Request was clean and production-ready.

Challenges we ran into

  • The Permissions Wall: Handling repo forks for Devin to integrate code without direct permissions was a nightmare. We had to pivot quickly to implement GitHub Personal Access Tokens (PAT) to give our agents the "keys" they needed to contribute code.
  • The "Free Tier" Trap: We spent hours hunting for a free LLM API powerful enough to analyze entire codebases. We eventually realized that to get the quality we wanted, we had to put skin in the game—we bit the bullet and moved to Gemini's paid tier for that massive context window.

Accomplishments that we're proud of

  • The "Agent" Hand-off: Successfully coordinating a multi-AI pipeline where Gemini analyzes, Exa searches, and Devin codes without the whole thing breaking.
  • The PR Moment: There is no feeling like watching an AI agent autonomously fork a repo, write logic you'd usually spend hours on, and submit a perfect Pull Request in seconds.

What we learned

We got to dive deep into Cognition AI's newest tools. Attending their workshop was a game-changer—it taught us how to move past simple prompts and actually utilize Devin to its full potential as a high-speed software engineer.

What's next for Scout

We'd love to evolve from a hackathon tool into a full-scale developer platform.

  • Deep Devin Integration: Instead of just sending a PR, we're building a direct Devin "Resident Engineer" connection. You'll be able to invite Scout directly into your Devin environment, allowing it to autonomously monitor your project for deprecated APIs and suggest upgrades in real-time.
  • The Enterprise Bridge: We want to bring Scout to giants like Uber and Netflix. Imagine a tool that scans a massive 10,000-file codebase to instantly swap out legacy payment processors or mapping services across every microservice in minutes.
  • Automated Library Migrations: Beyond just APIs, we're expanding Scout to handle Full Stack Refactors. If your app is stuck on an outdated framework, Scout will research the new documentation and have Devin refactor your entire codebase to the latest version while you sleep.

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