Swytchcode
Turn your API into an AI experience.
616 followers
Turn your API into an AI experience.
616 followers
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.
Swytchcode
We built Swytchcode because we have lived the pain of supporting APIs at scale.
As developers, we have spent countless hours writing and updating docs, answering the same integration questions, and creating sample code for every new customer workflow. It’s important work, but it doesn’t move the product forward.
With Swytchcode, we asked, what if the API itself could describe and demonstrate how it works?
Upload an OpenAPI spec or an SDK, and our system automatically generates interactive documentation, live playgrounds, and AI-suggested workflows with no manual upkeep.
What’s new and unique:
1. SDK-first and spec-first: our system can ingest either an SDK or a static OpenAPI file.
2. Workflow and method code: Generate code for method and workflows in 15+ languages
3. Built-in testing: Testing API endpoints with real parameters.
4. MCP code generation: developers can query and generate code through Model Context Protocol, a first in this space.
5. Real workflow automation: we don’t just show endpoints; we assemble multi-step, ready-to-run flows.
We are most proud of how quickly our solution helps other developers. Teams that used to spend weeks creating docs can now publish a fully interactive experience in minutes. Early customers, including two YC startups, are already integrating it into their onboarding to cut support tickets and speed up adoption.
For us, this launch isn't just a product release—it's a way to give developers back the time we always wished we had.
Try out playground: https://playground.swytchcode.ai
Need Swytchcode for your API: https://app.swytchcode.com
Website: https://swytchcode.com
GNGM
@chilarai Congrats on the launch!
Does it work if I only have an SDK and no OpenAPI spec? kinda sounds ideal for our messy docs.
Swytchcode
@polman_trudo Woo, yes! We have an internal spec that takes care of this.
We convert OpenAPI, Postman, and SDKs into our internal spec first (which basically maps functions and I/O). We’re currently testing this for SDKs, and it’s coming in our next launch.
I’d love to continue the conversation on LinkedIn and understand your requirements, if you’d like!
@chilarai Can you explain how Swytchcode uses OpenAPI specs or SDKs to auto-generate interactive docs and workflows?
Swytchcode
@masump We extract every public method/function along with inputs, outputs, schemas, errors, and metadata for the specs/SDK and create an internal spec that is mapped to the AI.
Post that our AI backend can answer any questions related to the APIs/SDKs, including generating workflows.
bunny.net
@chilarai great work, congrats on the launch!
Swytchcode
@marek_nalikowski Thanks for the support Marek! If you have any feedback, we are happy to listen
MultiDrive
@chilarai Great idea! Could you please describe the pricing model?
Swytchcode
@tetiana_hryshmanovska Hey Tetiana, we offer a 1-month trial on all the plans for private repositories. But, if you have any open-source project, we host it for free. The only thing you need is approval from the team for OSS.
Rest, if you plan to use it, I'll offer generous discounts; I can promise that
@chilarai Congrats on the launch!!!
Swytchcode
@emmanuel_paraskakis Thank you so much! Your support means a lot to us.
Creaibo
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?
Swytchcode
@jachinshen Great thoughts!
For 1 and 2, we convert the specs to an intermediate file called a Wrekenfile. This step breaks down the individual functions with I/O and saves individual items inside Vector DB, plus some other processes. Therefore, even if the specs are huge, we handle it individually.
Regarding point 3, yes, we can implement it in a workflow scenario.
I can talk in detail and make improvements over a google meet if you are open to it :)
Let's connect over LinkedIn.
Creaibo
@chilarai Thanks for your clarification! I will try the workflow in playground.
Swytchcode
@jachinshen Awesome! Let me know if you hit any snag.
We are going through a tough time. GitHub suspended our account without any clarification. We are currently in the process of migrating to GitLab. Hopefully, it shouldn't impact the playground. But the complete migration should be done in a day or two
I would like to know the fault tolerance rate of this AI model. Also, I'm quite interested in the module showcasing API usage levels displayed in the diagram. Is this generated automatically after the conversation? Or does it require additional input to complete?
NoteThisDown
I can totally see the value there @chilarai!
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?
Swytchcode
@paul_from_dentro Hey Paul, first of all, thanks.
We are using Azure for mostly the deployment services and AWS for storage services.
Swytchcode
@samihasnine thank you for asking this, Sywtchcode takes care of common bugs and issues in the OAS or Postman collection.
Swytchcode
@md_faisal_sheikh1 We baked in a system which fixes common OAS and postman collection issues, we primarily use LLM for codegen and the output is 99% accurate. The usage analytics are updated on Async basis.
Hatable
This looks really interesting! You seem to address an important need.
A few questions I'm curious about:
1. What's been the biggest challenge in building this?
2. How do you see this evolving over the next year?
3. What feedback have you gotten from early users?
Excited to see where this goes! 🚀
Swytchcode
@shardul_lavekar Woo! Bang at the target
We always knew the documentation problems developers face, but finding the right solution took many iterations, especially figuring out whether to position the product as developer-centric or customer-centric.
Our focus now is on more B2B outreach and building awareness among developers. Product development pipelines are already in motion (especially for SDK support).
People love the product, but many are eagerly waiting for the SDK support to launch since it's a major pain point with no standard specs available today.
Swytchcode
@shardul_lavekar thank you for support,
The biggest challenge for us was positioning of the product.
Over the next year Swytchcode will evolve into the forward deployed engineer role for software publishers.
Early users loved that integrations can be done 95% faster, lot of our customers came back with request for data, visibility and more formats to be included.