Forward Deployed Engineering Bootcamp for Full-Stack Developers

Wire a React frontend, a Node.js backend, and an AI backend into one seamless product, not three disconnected pieces.

Move data cleanly from the browser to your agent and back, with state, streaming, and error handling that hold up.

Own the full request path, so you can debug any layer when something breaks in production.

Stand up your own model with vLLM on RunPod, or route through OpenRouter, and call it from your backend like any other service.

Swap models and providers without rewriting your app, so you control cost, latency, and data.

Keep inference fast and affordable as traffic and usage grow.

Build retrieval that actually reasons, not a single vector lookup bolted onto a prompt.

Add semantic caching and knowledge graphs for hybrid memory that stays fast and grounded.

Scale your pipeline to potentially millions of documents without it falling over.

Add Llama Guard guardrails so unsafe input and output never reach your users or your logs.

Evaluate both trajectory and outcome, so you know whether a change actually helped.

Catch regressions before they ship, with an evaluation suite you can trust.

Add tracing and dashboards so you can see every step an agent takes in production.

Track latency, cost, and quality per request, and find the bottleneck fast.

Turn silent failures into signals you can actually act on.

Split your product into independent services (app, inference, retrieval, workers) that each scale on their own.

Coordinate multiple agents and outside systems with MCP and A2A so multi-step workflows stay reliable under load.

Take a project from an empty repo to a live, deployed product that handles real traffic, not a demo.