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Products that do what AI-Powered OpenAPI Spec Generator does
Hi hn! I wanted to share a simple JS script I built that uses Anthropic's Claude AI to auto-generate OpenAPI specs from code. Keeping OpenAPI specs in sync is tedious and error-prone. I was wasting too much time manually updating YAMLs. To fix this, I created a script that leverages Claude to parse source code and produce OpenAPI specs, no annotations needed. It's a gist you can copy/paste into your project: https://gist.github.com/hotkartoffel/2d2ca5a5a4ace98ca7fe87f... Feed it your code and Claude handles inferring the OpenAPI objects. I've tested it on JavaScript…
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May 2026 · github.com
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2020 · github.com
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Hi all, We've refactored the Python client generator in OpenAPI Generator(http://github.com/openapitools/openapi-generator). To give it a try, please follow 3 simple steps below: 1. Download the Java JAR: https://oss.sonatype.org/content/repositories/snapshots/org/openapitools/openapi-generator-cli/6.3.0-SNAPSHOT/openapi-generator-cli-6.3.0-20221217.085631-50.jar 2. Rename the JAR as "openapi-generator-cli.jar" 3. Execute the following command to run the generator for the PetStore API:…
2022
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We just open sourced a first class our AI web app builder. Instead of using another hosted AI coding platform, you can fork this project and build your own AI app builder, fully customized and running under your own brand. It includes: Next.js + TypeScript AI chat with streaming Artifact generation File explorer Code editor Live preview Databases Sandboxes to be used by AI agents Versions Responsive production-ready UI And a lot more... The only required dependency is the Totalum API, which exposes the AI generation engine through a simple REST API. You can replace or extend the backend…
Jul 2026 · github.com
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Hi HN, I'm one of the creators of Nanobrowser, an open-source Chrome extension that lets you automate web tasks using AI agents. We were inspired by the potential of tools like OpenAI's Operator, but we wanted something that was: -Open-Source:You can see the code, modify it, and contribute to the project. -Browser-Based:No complex setups or server deployments. It runs directly in your browser. -Customizable:You can tailor the agent's behavior to your specific needs. -BYO LLM:Bring your own large language model API key (OpenAI, Anthropic,or even local models), No vendor lock-in. -Privacy…
2025 · github.com
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Hello, my name is Andrei. My friends and I recently built CentralMind Getaway, an open-source tool that automatically generates AI-agent-optimized APIs from your database connection. It’s designed for those who don’t want to expose direct SQL access to their databases and prefer not to spend time building these APIs manually. What it does: - Auto-generates APIs from your database connection, infer schema & sample data using AI - Filters out PII and sensitive data for compliance (GDPR, SOC 2, etc.) - Optimized for AI-Agent with extra meta information and REST and MCP protocol support -…
2025 · github.com
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I’ve been working on Code2Docs, an open-source CLI tool that helps developers automatically generate inline documentation (docstrings + comments) for Python code using AI. It’s built to solve a common problem I’ve faced (and seen often in teams): We code by "vibe" — fast iterations, minimal docs, and then forget what the logic was months later. Code2Docs helps bridge that gap by documenting as you go — without breaking your flow. Right now it supports function-level documentation. Planned features include: - README.md generation for projects - API endpoint docs - Database schema…
2025 · code2docs-open-source.netlify.app
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Hi It's Logan (op) and David, we are launching our first open source Python SDK generator with other languages to come :) We built this because we believe that the OpenAPI Generator project is a mess and simply doesn't work for most users (us included). Additionally, proprietary generators miss the mark for complex use cases, and restrict developers from doing what they do best: writing code. On top of all that they force you into proprietary configuration layers for many desirable features which increases vendor lock in and pulls you further away from your API spec as the source of truth.…
2025 · github.com
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Demo starts at 50m into the video. This was a bit terrifying to record because 2am the previous night everything was totally broken after a major refactor (so that we could add external LLM support as well as local GPUs). But pressure can be a useful force :-D We start with a stack deployed on my laptop without a GPU, pointing to together.ai so we can run open source LLMs easily without having to have access to a GPU. We show simple inference through the ChatGPT-like web interface (with users, sessions etc) and then simple drag'n'drop RAG. Then we show some helix apps defined as yaml: Marvin…
2024 · youtube.com
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Hi HN - Marius (mbuleandra) and I built Restly as a side project. Restly generates a user-friendly tutorial against any OpenAPI spec. While building public-facing APIs, we found that writing these guides by hand took a lot of work. Many OpenAPI specs were too large to send to GPT-4 / Claude directly, and even when we could send them, we experienced lost-in-the-middle and hallucination issues. The project is very alpha but works against the Vocode API when we specify well-defined goals. Let us know your thoughts; we would love your contribution to the project! [1]…
2023 · github.com
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Hi HN, I'm excited to share some early tinkering on a project, autospec, an open-source QA agent for web applications. Right now it's not fully packaged for use, but I wanted to get the idea out early and am looking for design feedback, suggestions, and open source collaborators to join in. I wrote it over memorial weekend :) autospec uses vision and text language models to explore and generate commonsense e2e tests for web applications. The goal is human-like evaluation: assessing the entire UI as a user would, making decisions based on the actual state of the application at each step, with…
2024 · github.com
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For the last 6 months, I've been building ORUS Builder, an open-source AI code generator. My goal was to fix the biggest issue I have with tools like v0, Lovable, etc. – they generate broken, non-compiling code that needs hours of debugging. ORUS Builder is different. It uses a "Compiler-Integrity Generation" (CIG) protocol, a set of cognitive validation steps that run before the code is generated. The result is a 99.9% first-time compilation success rate in my tests. The workflow is simple: 1.Describe an app in a single prompt. 2.It generates a full-stack application…
Nov 2025
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Library makes requests asynchronously across models, so you can spend a lot of $$ quickly if you want XD. But seriously I hope this enables folks to create and run evals (especially safety ones) a lot easier than before.
2024 · github.com
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Hi HN! Sean from MindStudio here. I wanted to share something we've been working on that I think introduces some new ideas into the "AI coding agent" space. Remy is an AI agent that builds full-stack TypeScript apps from a spec written in a new flavor of annotated markdown. The spec has two layers: prose describing what the app does, and annotations that carry the technical precision (data types, edge cases, validation rules, code snippets). The agent then "compiles" this into code: backend methods, typed schemas, frontends, test scenarios, and everything else are derived artifacts of the…
Apr 2026 · remy.msagent.ai
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We’re building an open-source tool that makes it easy to expose secure, LLM-optimized APIs on top of your structured data—without manually designing endpoints or worrying about compliance. AI agents and LLM-powered applications need structured access to data, but traditional APIs and databases weren’t built with AI workloads in mind. Our tool automatically generates APIs that: - Filter out PII & sensitive data to comply with GDPR, CPRA, SOC 2, and other regulations. - Provide traceability & auditing, so AI apps aren’t black boxes, and security teams stay in control. - Optimize for AI…
2025 · github.com
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Hi, I'm working on a project that regroups all best AI (AIaaS) from different providers (GCP, AWS, Azure, DeepL, etc.) in one API (https://github.com/edenai/edenai-apis). I've got asked the question : why aren't you regrouping Open Source models (instead of proprietary APIs) into one repo? Well because it doesn't make sens to deploy and maintain large pytorch (or other framework) AI models (especially for document parsing, image and video moderation or speech recognition) in every solution that wants AI capabilities. So using APIs makes way more sens. Deployed OpenSource…
2023 · github.com
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At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust. We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk
Dec 2025 · laminar.sh
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