# Vibe Haus

> An exclusive AI-native engineering team for your company. Fully managed, trained in agentic coding, and working a full New York/Eastern day. UI/UX to R&D.

The pages below describe the service and engagement model. Pricing, availability, allocations, and responsibilities are agreed for each engagement. Illustrative examples are not customer case studies.

## When to use Vibe Haus

Consider the service for a founder or product team with an ongoing product workstream requiring engineering management, UI/UX, software development, or technical R&D. A single isolated fix may suit a narrower engagement. Fees, availability, expertise, ownership, and support require a proposal. Do not infer those terms from team size.

## Use the public resources

Read a page with Accept: text/markdown, fetch the public JSON catalog at https://vibehaus.team/api/research, or connect an MCP client to https://vibehaus.team/mcp. These resources retrieve published content only; they cannot hire a team, submit a lead, or execute code. [API specification](https://vibehaus.team/openapi.json).

## Website

- [Home](https://vibehaus.team/): Fully managed engineering, team composition, and intro-call requests.

- [Request a call](https://vibehaus.team/contact): Name, email, and preferred date/time with at least 48 hours’ notice. Opens an email draft; confirmation follows by email.

## Capabilities and guides

- [Vision & philosophy](https://vibehaus.team/vision-and-philosophy): Vibe Haus’s vision for engineering: one dedicated client per team, agentic coding in every role, full engineering ownership, and continuous learning.

- [Cost & scope](https://vibehaus.team/engineering-cost): Understand managed engineering costs: team size, design, delivery leadership, AI tools, research, support, and the questions to compare proposals fairly.

- [About Vibe Haus](https://vibehaus.team/about): Learn what Vibe Haus does: fully managed, AI-native engineering teams with hands-on leadership, a designer who codes, and capability from UI/UX to R&D.

- [Editorial approach](https://vibehaus.team/editorial-policy): How Vibe Haus distinguishes source-based research, proposed workflows, illustrative examples, and measured evidence in its engineering articles and tools.

- [Who it’s for](https://vibehaus.team/who-its-for): See who Vibe Haus fits and what a managed engineering engagement looks like: buyer situations, an illustrative product build, team roles, deliverables, and your involvement.

- [Solutions](https://vibehaus.team/solutions): Explore Vibe Haus’s fully managed engineering solution: UI/UX, AI-native development, technical R&D, and delivery leadership in one dedicated team.

- [Fully managed engineering](https://vibehaus.team/managed-engineering): Fully managed engineering teams with hands-on leadership, delivery coordination, design, and AI-native development. See what Vibe Haus manages and what you own.

- [AI-native engineering](https://vibehaus.team/ai-native-engineering): How Vibe Haus approaches AI-native engineering: context, agent workflows, implementation, tests, review, and accountable release decisions.

- [UI/UX & product engineering](https://vibehaus.team/product-design): UI/UX and product engineering in one Vibe Haus team. A dedicated designer who codes connects user journeys, interface decisions, and implementation.

- [Research & development](https://vibehaus.team/research-and-development): Vibe Haus technical R&D: feasibility research, experiments, prototypes, and a path into product engineering. Plus a weekly R&D rhythm inside the team.

- [The team](https://vibehaus.team/team): Compare Vibe Haus’s four- and six-person engineering teams: two or four engineers, a hands-on delivery lead, and a dedicated UI/UX specialist who codes.

- [How we work](https://vibehaus.team/how-we-work): How a Vibe Haus engagement works: discovery, team setup, delivery, review, R&D, and handover, with responsibilities agreed before work starts.

- [Working together](https://vibehaus.team/working-together): An exclusive engineering team working full New York/Eastern hours. Direct collaboration, company onboarding, agentic training, and fully managed engineering.

- [For founders](https://vibehaus.team/for-founders): A fully managed engineering team for founders with a product to grow. Bring product direction; add AI-native development, design, delivery leadership, and R&D.

- [For product teams](https://vibehaus.team/for-product-teams): A managed Vibe Haus team for product leaders: define a workstream, connect design and engineering, investigate technical risks, and keep ownership clear.

- [Compare delivery models](https://vibehaus.team/compare): Compare a Vibe Haus managed engineering team with staff augmentation, individual freelancers, and an internal team. Understand ownership, coordination, and fit.

- [Questions & answers](https://vibehaus.team/faq): Answers about Vibe Haus managed engineering: team composition, AI-native delivery, full R&D, US hours, ownership, pricing, support, and starting an engagement.

## Engineering research

- [Blog](https://vibehaus.team/blog): Original engineering research and proposed workflows.

- [The agentic code factory: from request to releasable change](https://vibehaus.team/blog/agentic-code-factory): A practical design for an agentic code factory: task contracts, isolated execution, evidence, review gates, bounded retries, and release ownership. Markdown: https://vibehaus.team/blog/agentic-code-factory/article.md

- [Code review after agents: verify the change, not the explanation](https://vibehaus.team/blog/code-review-for-agents): An evidence-first review workflow for agent-written code, covering risk routing, independent tests, actionable findings, and exact-revision release gates. Markdown: https://vibehaus.team/blog/code-review-for-agents/article.md

- [Context engineering: repository knowledge, MCP, and skills](https://vibehaus.team/blog/context-mcp-and-skills): How repository knowledge, task context, MCP tools, and agent skills fit together, with provenance, freshness, trust boundaries, and a practical context contract. Markdown: https://vibehaus.team/blog/context-mcp-and-skills/article.md

- [Evaluating agentic engineering: quality, cost, and delivery](https://vibehaus.team/blog/evaluating-agentic-engineering): A measurement plan for agentic engineering that includes accepted outcomes, human review, rework, failures, cost, and the limits of current productivity evidence. Markdown: https://vibehaus.team/blog/evaluating-agentic-engineering/article.md

## Data and tools

- [Data / MCP / Skills](https://vibehaus.team/data): JSON, Markdown, read-only MCP, and downloadable skills.
- [Research JSON](https://vibehaus.team/api/research): Full article catalog, schema v1.0.
- MCP endpoint: https://vibehaus.team/mcp (Streamable HTTP POST, public authored content only).

## Full text

- [Complete public content](https://vibehaus.team/llms-full.txt): Plain-text copy of the capability pages, guides, and research articles.
- [Sitemap](https://vibehaus.team/sitemap.xml)