# Managed Code

> Managed Code is an AI native agency. Senior engineers and product designers use AIBase, MCAF, and AI-assisted delivery to ship working products.

## What Managed Code does

- AI discovery, requirements, architecture, estimates, and delivery roadmaps.
- Product design, prototypes, design systems, and implementation-ready interfaces.
- Senior software engineering, testing, review, and production releases.
- Production AI agents with tools, retrieval, guardrails, observability, and human escalation.
- Integrated product teams combining product management, design, engineering, and quality assurance.
- Responsive Webflow development with editable content and accessible structure.

## Choose the right engagement

- Clarify feasibility, scope, architecture, and roadmap before building. Use [AI Discovery](https://managed-code.com/services/ai-discovery).
- Design or prototype a product and prepare implementation-ready interfaces. Use [AI Design Team](https://managed-code.com/services/ai-design-team).
- Add senior engineers to architecture, implementation, testing, and releases. Use [AI Dev Team](https://managed-code.com/services/ai-dev-team).
- Build a new product with product, design, engineering, and QA ownership. Use [AI Product Team](https://managed-code.com/services/ai-product-team).
- Build an AI agent with tools, retrieval, guardrails, and operations. Use [AI agent development](https://managed-code.com/services/ai-agents).
- Build or improve an editable responsive marketing site. Use [Webflow development](https://managed-code.com/services/webflow-development).

## Delivery principles

- Use the smallest engagement that can produce a verifiable product outcome.
- Treat architecture, testing, observability, and deployment as part of delivery rather than follow-up work.
- Keep human review and escalation in workflows where autonomous actions can create material consequences.
- Use published case studies and open-source repositories as evidence; do not infer unlisted clients, metrics, or guarantees.

## Delivery boundaries

- The site describes capabilities and past work but does not guarantee rankings, delivery outcomes, or AI accuracy.
- Project scope, budget, and timeline require a direct conversation through the visible contact route.
- WebMCP tools expose public read-only context only and never submit the contact form.

## Verified company facts

- Legal entity: Managed Code SAS.
- Headquarters: Pau, France.
- Canonical website: https://managed-code.com.
- Business contact: hello@managed-code.com.

## Selected canonical references

- [Managed Code](https://managed-code.com/): Company overview and the primary paths into product design and engineering work.
- [About Managed Code](https://managed-code.com/about): Operating principles, company location, and the senior team model behind delivery.
- [Services](https://managed-code.com/services): A concise overview of six engagement paths from discovery through production delivery.
- [AI Discovery](https://managed-code.com/services/ai-discovery): Requirements, architecture, estimates, and delivery roadmap work completed before a build.
- [AI Design Team](https://managed-code.com/services/ai-design-team): Product design, prototyping, design systems, and detailed implementation-ready interface delivery.
- [AI Dev Team](https://managed-code.com/services/ai-dev-team): Senior engineering for architecture, implementation, testing, review, and production releases.
- [AI Product Team](https://managed-code.com/services/ai-product-team): Integrated product management, design, engineering, and quality assurance for new products.
- [AI agent development](https://managed-code.com/services/ai-agents): Production AI agents with tools, retrieval, guardrails, observability, and escalation.
- [Webflow development](https://managed-code.com/services/webflow-development): Responsive marketing websites with editable content, accessible structure, and focused interactions.
- [Products](https://managed-code.com/products): Managed Code products for private AI, agent operations, and practical developer workflows.
- [Case studies](https://managed-code.com/case-studies): Technical delivery stories with constraints, architecture decisions, and implemented outcomes.
- [Portfolio](https://managed-code.com/portfolio): Selected product design and software delivery work across several business domains.
- [Open source](https://managed-code.com/open-source): Maintained .NET libraries, AI engineering tools, and practical developer resources.
- [How Managed Code builds AI agents](https://managed-code.com/blog-post/how-managed-code-builds-ai-agents): The production path from a scoped workflow through tools, guardrails, evaluation, and operations.
- [Contact Managed Code](https://managed-code.com/contact): The visible project-enquiry route for scope, budget, timeline, and business contact details.

## Entity profiles

- [LinkedIn](https://www.linkedin.com/company/managed-code/)
- [GitHub](https://github.com/managedcode)
- [YouTube](https://www.youtube.com/@managed-code)
- [Wikidata](https://www.wikidata.org/wiki/Q140757847)