Code that ships to production every week.
Senior engineers handle the architecture, the implementation, and the code review, while AI takes on the routine work that used to eat half a sprint. The result is software built fast enough to compete and solid enough to survive production traffic.
Copilots, agents, RAG systems, and recommendation engines built into your product. We have shipped enough AI in production to know which features pay off.
Web and mobile applications built to handle real traffic. From an MVP shipping next month to a platform built to scale ten times over.
Backends that hold up under complex business logic. Senior engineers pick the right framework, build the data model carefully, and document it cleanly.
Interfaces that match the Figma file pixel for pixel and run smoothly across the devices your users carry. React, Vue, Angular, or Blazor.
The team that builds your product keeps it running. We monitor performance, push updates, and tune infrastructure as your traffic grows.
We connect the systems your team already uses, automate the data exchanges they handle by hand, and build the integration layer that ties everything together.
Our process moves quickly because nothing waits in a handoff queue between design, dev, and QA. Everyone works in the same repository, against the same plan, with the same Friday demo deadline.
Deep Dive
We start by understanding what you actually need to ship, who it is for, and what is currently in the way. If you have existing systems, we audit them so we know what to keep, what to refactor, and what is safer to leave alone.
Technical Blueprint
Senior engineers draft the architecture, pick the frameworks, map the data flow, and list the integrations. The blueprint is short enough that you can read it in an afternoon and detailed enough that no one starts coding from guesses.
Design Integration
Design and engineering work in parallel in the same repository, with senior designers and developers reviewing each other's work as it happens. There is no formal handoff because there is no wall to throw the work over.
Development
Weekly sprints with a working demo every Friday. You see the product moving in real time, test the builds before they ship, and adjust priorities without scheduling a steering committee.
QA & Deployment
QA Engineers run tests across devices, browsers, and load conditions, with AI accelerating the test scaffolding and regression coverage. When the build is stable, we deploy to production and watch the metrics for the first week to catch anything that escapes the test suite.
Support & Growth
Launch day is when the product starts learning what users actually want. We stay on through the first months of real usage, fixing what the test suite missed, optimizing what the metrics expose, and adding what the early adopters ask for.
It took the Managed Code team five months to build the application, as initially planned. The app that Managed Code developed runs smoothly, is highly rated by users, and helps the client generate a steady profit. The team was highly communicative, and internal stakeholders were particularly impressed with Managed Code's expertise.
Their professionalism and commitment to delivering high-quality solutions made the collaboration highly successful.
Thanks to Managed Code's efforts, the AI assistant significantly improved the client's ability to serve new and existing clients, resulting in increased customer satisfaction and higher sales. The team was responsive, adaptable, and committed to excellence, ensuring a successful collaboration
We're impressed by their expertise and their client-focused work.
With an excellent workflow and transparent communication on Google Meet, email, and WhatsApp, Managed Code delivered just what the client wanted. They effortlessly focused on the client's needs by being client focused, as well.
Our stack is built to adapt and scale with your needs. From modern front-end frameworks to powerful back-end systems, we choose technologies that ensure speed, stability, and long-term growth. Every tool we use is selected with purpose — to deliver products that are reliable today and ready for tomorrow.
Framework to build AI apps with orchestration and memory.
Cloud platform for deploying and scaling AI solutions.
State-of-the-art language models for conversation and content.
AI assistant focused on reasoning, safety, and long-context tasks.
Open-source LLMs optimized for speed and efficiency.
AI-powered assistance for coding, writing, and productivity.
Create powerful AI agents using .NET and Azure.
AI-powered assistance for research, coding, and creativity.
Framework for building distributed, scalable applications.
Versatile language for robust, high-performance software.
Cross-platform framework for modern web apps and APIs.
Fast, event-driven runtime for scalable server-side apps.
Cloud platform for hosting, scaling, and securing applications.
Mature ecosystem for enterprise-grade applications.
Flexible NoSQL database for fast, scalable data handling
Progressive Node.js framework for efficient, scalable backends.
Flexible library for building fast, interactive UIs.
Lightweight framework for simple and scalable apps.
Robust solution for enterprise-grade web applications.
.NET-powered framework for rich client-side apps.
Build interactive web apps with C# and .NET.
Cross-platform framework for native mobile and desktop apps.
Native development for the world’s most used mobile OS.
Create fast, cross-platform apps with one codebase.
Native apps tailored for Apple’s ecosystem.
Build mobile apps with React for iOS and Android.
One codebase. Powered by C# and XAML.
Cloud platform for hosting, scaling, and securing applications.
Leading cloud provider with global infrastructure and services.
Orchestration system for scaling and managing containers.
Cloud services for data, AI, and global-scale applications.
Container platform for fast, portable, and consistent deployments.
Continuous integration and delivery pipelines for faster, safer releases.
Collaborative platform for UI/UX design and prototyping.
Core language for dynamic, interactive web apps.
Standard markup for modern, responsive websites.
Analytics and heatmaps to understand user behavior.
Version control system for efficient collaboration.
Styling language for flexible, adaptive web design.
Core platform for scalable design systems and interactive prototypes.
Tool for mapping user journeys, brainstorming, and wireframing.
Platforms for structured design documentation and collaboration.
Tools for usability testing, feedback collection, and design validation.
Quick answers to what comes up on every first call — about AI, speed, scope, and how we work.
The AI Dev Team is a weekly-sprint engagement where senior engineers, paired with AI, ship working code to production every Friday. You get a senior crew that holds to a predictable cadence, without the cost or hiring cycle of building the same team in-house. Each sprint ends with a working demo, tests, documentation, and a pull request you can actually read.
Internal dashboards, SaaS platforms, AI copilots and agents, mobile apps, customer portals, enterprise systems, and the integration layers that hold them together. If it needs a backend, a frontend, and AI somewhere in the middle, we have shipped one.
Both. We build MVPs for founders who need to ship before their runway runs out, and we extend production systems for engineering teams that need senior capacity without a six-month hiring loop.
It depends on scope. Most MVPs land in four to six weeks with an AI Product Team. Larger platforms run as a sequence of weekly sprints with a working demo every Friday, so you see progress against the plan instead of guessing.
Yes. We handle the database, the API layer, the frontend, the integrations, and the deployment, with the same team writing each layer so nothing gets lost between specialties.
Yes. CRMs, ERPs, payment systems, internal databases, legacy custom systems. Integration work is most of what modern software engineering actually is, and our engineers have plugged into enough of these systems to know where the sharp edges hide.
.NET and C# on the backend, with Node.js where the use case calls for it. React, Vue, Angular, or Blazor on the frontend. Python where the AI or data work specifically demands it. We pick the technology that fits the project, not the technology our team is most comfortable repeating.
Senior engineers review every change before it ships. AI handles a first pass on style and routine bugs, then a person signs off on logic and architecture. Automated tests cover the core paths, CI/CD pipelines catch regressions, and our internal quality framework verifies that AI-generated code meets the same standards as human-written code.
Yes. We stay on through monitoring, bug fixes, infrastructure scaling, and feature work that comes out of real user behavior. The team that knows the product best is the same team you keep working with after launch.
Yes. We set up environments on Azure, AWS, or Google Cloud, configure monitoring and alerting, schedule backups, and tune infrastructure cost so you are not paying for capacity you never use.
Security is part of the architecture from the first sprint, not an audit at the end. We use encrypted data at rest and in transit, secure authentication patterns, role-based access where it matters, and documentation that survives the audit conversation when it comes.
Yes. Weekly sprints, Friday demos, async-friendly documentation, and a backlog you can rearrange when the market changes. We are not religious about the rituals, but we are serious about shipping working code on a predictable cadence.
Every Friday, you see a working demo of what shipped in the sprint. Between Fridays, you have access to staging builds, the project board, and the team's Slack channel. There is no monthly status report standing in for actual progress.
We staff senior engineers only, equip every engineer with paid AI tooling, run design and engineering in the same repository, and sell fixed time blocks with clear deliverables. The result is software that ships faster than a traditional agency would deliver it and costs less than hiring the same team in-house.
Yes. We can extend an existing engineering team as a senior AI-native squad, plug into your repository and rituals, and keep your in-house people focused on the work only they can do.
AI products, fintech, healthcare, analytics platforms, marketplaces, education technology, and SaaS in general. The process adapts to the regulation, the data sensitivity, and the user expectations of each industry.
Yes. We migrate data, upgrade architectures, refactor old codebases into modern frameworks, and document everything as we go so the next round of changes does not require us in the room. AI accelerates the boring parts of refactoring, like rewriting tests and translating between framework conventions.
Always. Every project ends with technical documentation that another engineer can actually use, repository access, setup guides, and the architecture decisions in writing so nothing important lives only in a former contractor's head.
You own 100% of the code and 100% of the intellectual property. We sign the IP assignment on day one, hand over the repository at the end, and document the architecture so the code is actually usable by whoever takes it from there.
Yes. Support options range from on-demand fixes when something breaks, to monthly retainers for ongoing feature work, to longer engagements where we run the product team as a fixed extension of your business.
