Swytchcode lets your API speak for itself. Turn static docs into an AI playground where developers can chat, test, and generate workflows instantly. Built for API-first teams.
That's a great usecase @Swytchcode, @chilarai . Gives API first products an edge to enable developers faster.
At Beeceptor, we are on the similar mission but with mock servers! E.g. get the OpenAPI spec in to a live mock server that comes with contextual test data as well. Love to connect with you.
Congrats. Good job @aditya_rohit and team
This is going to be very handy for many…
Impressive work — this finally solves the painful gap between static API docs and real integration workflows. The ability to upload an OpenAPI file or just an SDK and instantly get interactive docs, AI-generated workflows, and live testing in one place is a huge time-saver.
I especially like that it doesn’t stop at “endpoint explanations,” but actually builds multi-step flows developers can run and adapt. For API-first products, this feels like the missing piece that turns documentation into an onboarding engine. Great launch!
Swytchcode is a really impressive tool that turns boring API docs into an interactive AI playground. It makes testing and integrating APIs way faster and easier by letting you chat with the API and get real code snippets instantly. As a founder and developer, I love how it cuts down integration time and reduces the usual back-and-forth.
I see you're using Azure, AWS and pinecone. How does it work under the hood, are you using Azure for AI inference and AWS and pinecone for storing data?
Really solid work. Solves a real pain devs deal with every day. Congrats on the launch!
I briefly tested your playground and found it very smooth! About half a year ago, I discovered a tool called GitIngest that converts GitHub repositories into Markdown format. Back then, I was wondering if it could evolve further into an interactive tool, it's genuinely exciting to see your product actually doing that!
Congrats on the launch! Love the idea, will definitely use it for my future developments 😁
Congratulations for the launch! I have intergrated APIs from 5 different platforms (varying from LLM to data sources) in the past several month. It would save me a lot of time if there was a tool like this. At that time, I also tried letting LLM agent help me on these APIs, but I met some problems and I am curious about your solution: 1. The JSON response from API can be huge if containing data like base64-encoded image. When a code agent try to read this file, the context window is quickly exploded. I have to manually compact the JSON file. 2. The JSON response often has complex data-structure like nested dicts. How to ensure LLM be accurate on field accessing when outputing example codes? 3. Some APIs need to work together like submitting and status querying of async tasks. Is it possible to let AI write example code covering these API interaction scene?
Love the line-by-line AI coaching, feels like having an editor in your pocket.
Good luck with the launch!
Taking on Postman - love it! I think I have a couple projects that will love this.
Congratulations. And happy product launch. @chilarai