managed-code

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1. 11/2/2026

   Updated: best for, features, limitations, open source, sources, summary, use cases, walkthrough

   See recorded changes

   bestFor

   Before: ["Clients needing fast delivery of production-ready software products with integrated AI-assisted design, development, and QA teams."]

   After: ["Organizations needing senior AI-native engineering teams to build production-grade AI agents and automation quickly, from MVPs to enterprise-grade systems."]

   features

   Before: ["AI-assisted design producing multiple options rapidly and delivering design systems in Figma.","AI-accelerated code generation and architecture ownership by senior developers using .NET, C#, and Node.js.","QA engineers build test coverage and run tests against production scenarios before launch."]

   After: ["Custom AI agents built for production with workflow, retrieval-augmented generation (RAG), decision agents, human-in-the-loop, tests, and full audit trails.","AI automation of real business processes including intake, routing, approvals, and follow-up with AI agents, integrations, tests, and human sign-off.","AI discovery sprint that defines product architecture, user journeys, and technical risks before coding, offered at a fixed price.","Agent Workflows that define multi-step AI processes visually with branching logic, human-in-the-loop approval gates, and automatic retry on failure.","Business Process Management that connects AI agents to existing processes, enabling step-by-step adoption rather than forced replacement."]

   limitations

   Before: []

   After: ["Traditional development shops bill by hours and often produce prototypes that do not scale well to production, leading to brittle code and stalled roadmaps."]

   openSource

   Before: "Not recorded"

   After: true

   sources

   Before: [{"url":"https://managed-code.com/","label":"AI Native Agency for Product Design and Development | Managed Code"},{"url":"https://managed-code.com/services/ai-product-team","label":"AI Product Development Agency | Managed Code"}]

   After: [{"url":"https://managed-code.com/","label":"AI Agents & AI Automation | Managed Code"},{"url":"https://managed-code.com/products","label":"AI Products by Managed Code | AIBase, DotPilot and MCAF"}]

   summary

   Before: "Managed Code is an AI-native agency where senior engineers and product designers use AI tools to deliver working products efficiently. They offer integrated teams that ship minimum sellable products live in production within four to six weeks, combining design, engineering, and QA under one roof."

   After: "Managed Code is an AI-native agency specializing in building custom AI agents and AI automation designed to run in production environments. They offer products and services that include AI agents, AI automation, and AI discovery sprints, focusing on delivering outcomes with senior engineers and AI tools from prototype to production."

   useCases

   Before: ["Building minimum sellable products live in production rapidly using AI-accelerated design and development.","Rescuing brittle MVPs that do not scale by rebuilding with AI-native teams delivering production-grade code and architecture."]

   After: ["Building AI agents that automate workflows with human oversight and audit trails in regulated industries like fintech or healthcare.","Automating business processes such as document review routing, approvals, and customer support follow-up across multiple communication channels."]

   walkthrough

   Before: ["Discovery phase defines goals, users, and product scope accelerated by AI audits.","Design foundation phase delivers core flows, key screens, and design system early.","Parallel build and design phase where AI accelerates production work on both sides.","QA phase builds and runs test suites alongside the build before deployment.","Deploy and handoff phase ships product to staging and production with full source, design, and documentation."]

   After: []

2. 9/14/2026

   Updated: best for, features, integrations, limitations, platforms, use cases, walkthrough

   See recorded changes

   bestFor

   Before: []

   After: ["Clients needing fast delivery of production-ready software products with integrated AI-assisted design, development, and QA teams."]

   features

   Before: ["AI-assisted delivery accelerates product development and shipping.","Senior product designers paired with AI explore multiple design options rapidly.","Integrated AI-native teams include designers, engineers, QA, and project managers working collaboratively."]

   After: ["AI-assisted design producing multiple options rapidly and delivering design systems in Figma.","AI-accelerated code generation and architecture ownership by senior developers using .NET, C#, and Node.js.","QA engineers build test coverage and run tests against production scenarios before launch."]

   integrations

   Before: ["Uses Microsoft Agent Framework, Azure AI Services, OpenAI ChatGPT, ClaudeAI, Mistral AI, Copilot, and Gemini AI for AI capabilities."]

   After: []

   limitations

   Before: ["The service is based in France and the EU, which may affect availability or compliance for other regions."]

   After: []

   platforms

   Before: ["Development primarily uses .NET, C#, and Node.js technologies."]

   After: []

   useCases

   Before: ["Rapid development and launch of minimum sellable products within four to six weeks.","Rescuing and scaling MVPs that are brittle or unscalable."]

   After: ["Building minimum sellable products live in production rapidly using AI-accelerated design and development.","Rescuing brittle MVPs that do not scale by rebuilding with AI-native teams delivering production-grade code and architecture."]

   walkthrough

   Before: ["Discovery phase defines goals, users, and product scope accelerated by AI audits.","Design foundation phase delivers core flows, key screens, and design system early.","Parallel build and design phase where development and design run concurrently with AI acceleration.","QA phase builds and runs test suites against production scenarios before deployment.","Deployment and handoff phase delivers full source code, design system, staging and production deployments, test suite, and documentation."]

   After: ["Discovery phase defines goals, users, and product scope accelerated by AI audits.","Design foundation phase delivers core flows, key screens, and design system early.","Parallel build and design phase where AI accelerates production work on both sides.","QA phase builds and runs test suites alongside the build before deployment.","Deploy and handoff phase ships product to staging and production with full source, design, and documentation."]