devkyn — senior dev studio on subscription
Contact us

Built for - A senior engineer for AI startups.

You shipped a demo that wowed people. Now you need streaming chat that doesn't choke, token costs that won't bankrupt you, and a real product around the model instead of a Python notebook. That's the boring engineering that makes or breaks an AI startup, and it's exactly what we build.

Start next week
  • Your prompt works in a notebook but falls apart the moment real users hit it. No streaming, no retries, no rate limits, no error handling when the model returns garbage.
  • Inference costs are quietly eating your runway because nothing is cached, batched, or routed to a cheaper model when it would do the job.
  • The research side is strong but there's no product around it. No auth, no billing, no dashboard, no usage metering, so you can't actually charge anyone.
  • Every provider outage or model deprecation breaks prod, because you wired one SDK in directly with no fallback.

What we build for AI startups

  • A streaming chat UI with token-by-token rendering over SSE, stop and regenerate, message persistence, and graceful handling of mid-stream errors and timeouts.
  • A RAG pipeline behind a clean API: chunking, embeddings, a pgvector store in PostgreSQL, retrieval with reranking, and citations passed back to the frontend.
  • Usage metering and billing for AI products. Track tokens per user, enforce plan limits, meter overages, and wire it to Stripe so you can bill per usage.
  • A provider-agnostic LLM gateway with fallback routing, retries with backoff, response caching, and per-key rate limiting, so one provider outage doesn't take down prod.
  • A background job queue for long-running inference and batch jobs. Async processing, webhooks on completion, and a status endpoint your frontend can poll.
  • An eval and prompt-versioning dashboard so you can compare prompts and models on your own test sets instead of guessing what broke after a change.

Why a subscription fits AI startups

AI startups move fast. The model, the use case, and the pricing all shift while you're still hunting product-market fit. A flat monthly subscription lets you reprioritize the queue the day a customer demo changes the plan. No rehiring, no change orders, no contract to renegotiate.

Frequently asked questions

Do you do ML research or train models?
No. We're code, not research. We build the product around your model: APIs, streaming UIs, RAG pipelines, billing, eval tooling, and the infra that makes it production-ready. You bring the model or the provider API, and we make it something people can use and pay for.
Can you work with the LLM provider we already use?
Yes. OpenAI, Anthropic, open models on your own GPUs, whatever you're on. We'll wire it in cleanly, and if you want, add fallback routing so you're not locked to a single provider or stuck when one deprecates a model.
How fast can you turn things around when our roadmap shifts?
We work one task at a time in your priority order, averaging 48 to 72 hours per task, and you can reprioritize the queue anytime. When a customer call changes your whole week, you move that task to the top. No meetings, no re-scoping call.

Got a task? Let's ship it.

3 spots open. Subscribe today, drop your first task, and most tasks ship in 48 to 72 hours. No call required.

Start next week