AI-Native means our engineers work with Claude Code, Cursor, MCP servers and agent workflows as their default, not as add-ons bolted on later. We build generative UI, AI agents with real interfaces, voice-to-action flows and MCP integrations — production AI features users rely on, not demos. Every codebase we touch ships with AGENTS.md / CLAUDE.md context, a PR review agent and a shared prompt library, so the velocity stays after we leave.

Keep looking for in-house. That takes time, and your product can’t wait. We fill the gap with senior, AI-native React engineers who plug in fast, ship real code, and set the standards your future hires will inherit. 30-day money-back guarantee on embedded engagements if the fit isn’t right.

Productive within the first week. Our engineers are mid-senior to senior (3–5+ years), already AI-native with Claude Code, Cursor, MCP and agent workflows, and used to embedding directly inside a client team — same stack, same sprint, same Slack. Onboarding is fast because we don’t bring junior contractors who need a ramp; we bring senior engineers who bring standards from day one.

Hands-on, never lectures. Three tiers: Personal (1-on-1 coaching with a custom learning plan), Team (1–3 day intensive workshop for 4–12 engineers, where the team builds something real on their own codebase), and Organization (multi-week program with stakeholder interviews, an AI readiness assessment and a prioritized AI adoption roadmap based on our AI Discovery Sprint methodology). Topics include AI workflows, prompt engineering, AI code review, RAG, MCP, SDD and BMAD. Engineers walk out with skills and tools they use the next day.

Yes — this is the Enable pillar. We do the actual implementation, not strategy decks. Claude Code and Cursor configured for your org (managed settings, model defaults, contexts, skills), AGENTS.md / CLAUDE.md context engineering tailored to your codebase, a PR review agent integrated with your CI/CD, a shared prompt library by role, a DORA baseline so you can measure cycle-time improvements, and team workshops to drive adoption. First results in 14 days, full transformation in 90.

Three services. (1) AI-Native Frontend Engineers, embedded — senior React/Next.js engineers on your team. (2) AI Features for Web Products — generative UI, AI agents with UI, voice-to-action, MCP server/client integrations, streaming UI. (3) Frontend AI Transformation — context engineering, PR review agent, prompt library, DORA baseline, team workshops. First results in 14 days, full transformation in 90.

Yes — that’s the point. We ship generative UI that adapts to data and intent, AI agents with real usable interfaces, voice-to-action and conversational web flows, MCP integrations, and AI-enhanced UX (smart defaults, predictive flows, contextual assistance). Real features your users rely on, delivered with senior engineering quality, testing strategy, and observability.

We integrate alongside your current stack — no rewrite. Typical pattern: scope the user-facing job-to-be-done, pick the right surface (chat, generative UI, voice, inline action), then wire the model layer with the Vercel AI SDK or Claude Agent SDK with structured output via Zod, MCP tools for your data, observability and evals from day one. We work inside your existing routing, design system and CI. First production behavior usually ships in 2–4 weeks.

Generative UI is React components rendered on the fly by an LLM in response to user intent or data. The default modern stacks: Vercel AI SDK 6 with AI Elements (RSC streaming), assistant-ui or CopilotKit on top of your data, plus Anthropic Agent Skills and Claude Code workflows for the team. We build, evaluate and ship those primitives in production for B2B SaaS, DeepTech and consumer web — not just demos.

Yes. We design and ship MCP servers that expose your product to Claude Code, Cursor, ChatGPT and other agentic clients — with auth, rate limits, structured tools and rich UI responses (MCP Apps). We also wire MCP clients inside your web app so your own users get agentic workflows on top of your data. Common starting point: a 1–2 week diagnostic, then a 4–6 week build for the first production server.

Yes. We ship React Native with Expo, same senior React engineers, same standards. Cross-platform iOS and Android from one codebase, with EAS Build and OTA updates. Clients like Autofleet and Bubble run native products we helped build and ship.

We run a diagnostic — an AI Maturity Score across 6 pillars — then install the AI-native system into your frontend team. That includes AGENTS.md / CLAUDE.md context engineering for your codebase, a PR review agent configured for your stack and conventions, a shared prompt library tailored to roles, a DORA baseline with measurable cycle-time improvement, and team workshops. First results in 14 days, full transformation in 90.

Monthly retainers for ongoing embedded work. Milestone-based pricing for fixed scopes and AI feature builds. Most engagements run 6+ months (average around a year). Pricing in USD.

Yes. Every engagement starts with a technical and personal chat, so you’re confident in both hard skills and culture fit before anyone joins your team.