Full technology projects delivered by senior practitioners powered by AI tooling — replacing the cost and communication overhead of traditional large-team engagements. This covers the full lifecycle: requirements, architecture, code, testing, deployment, and handoff. The goal is always a working product the client's team can maintain independently.
Many projects aren't greenfield — they involve integrating existing systems, migrating legacy platforms to the cloud, or connecting siloed applications through well-designed APIs. With deep experience in system integration and cloud migration (primarily Azure), we handle the complexity that comes with real-world IT landscapes, not just clean-slate builds.
AI-assisted coding is easy to demo. Doing it well across an entire project lifecycle requires someone who has held every role in that lifecycle: business analyst, developer, architect, scrum master, team lead. That depth comes from decades of experience, not a weekend experiment.
Right now, we recommend Claude Code with BMAD Method or GitHub Spec Kit as our preferred AI development stack. The AI landscape moves fast, so we continuously evaluate competitors — but stability and transferability matter. We choose tools and frameworks that won't lock you in.
Anthropic's agentic coding tool — think, plan, and execute directly in your terminal with Claude.
Breakthrough Method for Agile AI-Driven Development. Agent-based workflows for structured project delivery.
Spec-driven development — specifications become executable artifacts across 20+ AI coding agents.
Not every project needs custom code. Sometimes the right delivery is a properly configured Microsoft 365 environment — Teams structure, SharePoint governance, Power Automate workflows, and Copilot integration. We set up the foundation so your team works with the tools, not around them.
When a partner proposed Cosmos DB, Logic Apps, and Microsoft Fabric for a 3-person advisory firm, we pushed back with a native M365 solution at a fraction of the cost. Integrity means recommending the simplest solution, even when complexity pays more.