What I learned in 6 months of working on a CodeGen dev tool GPT Pilot

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  • gpt-pilot

    The first real AI developer

    For the past 6 months, I’ve been working on GPT Pilot (https://github.com/Pythagora-io/gpt-pilot) to understand how much we can really automate coding with AI, so I wanted to share our learnings so far and how far it’s able to go.

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  • pythagora-prompt-lab

    ⏳ Time spent: ~2 days 🪙 OpenAI tokens spent: ~1.6M ($50) 💾 Github repo

  • gpt-pilot-db-analysis-tool

    ⏳ Time spent: ~2 days 🪙 OpenAI tokens spent: ~1.2M ($38) 💾 Github repo

  • star-history

    The missing star history graph of GitHub repos - https://star-history.com

    I’ve been releasing open-source projects for years now, and I’ve always wanted to see how fast my Github repo is growing compared to other successful repositories on https://star-history.com/. The problem is that on Star History, I’m unable to zoom into the graph, so a new repo that has 1,000 stars cannot be compared with a big repo that has 50,000 because you can’t see how the bigger repo does in its beginning. So, I asked GPT Pilot to build this functionality. It scrapes Github repos for stargazers, saves them into the database, plots them on a graph, and enables the graph to be zoomed in and out.

  • codebase-chat

    ⏳ Time spent: 7 hours 🪙 OpenAI tokens spent: ~460k ($14) 💾 Github repo

  • star-history

    ⏳ Time spent: 6 hours 🪙 OpenAI tokens spent: ~400k ($12) 💾 Github repo

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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