Enterprise-grade software delivery with agentic workflows, from coding harness to cloud-native infrastructure.
Engineering that builds itself.
Modern software engineering is moving from manual coding to agentic delivery. By combining AI engineering harnesses like GitHub Copilot and Claude Code with self-healing cloud-native infrastructure, teams dramatically reduce toil and deliver enterprise-grade quality at lower cost, on Azure, on Hetzner, or on hardware they own.
This isn’t just about writing code faster. It’s about shifting the engineering team’s focus from boilerplate execution to strategic problem solving, with capabilities previously only available to the largest tech organizations now accessible to small and mid-size companies.
How much faster does agentic software engineering actually deliver?
Teams using a structured agentic harness (GitHub Copilot, Claude Code) typically see 2–4× faster feature delivery on familiar codebases. The gains span every phase: planning, architecture, implementation, testing, and deployment.
What is an agentic harness? I've never heard that term.
An agentic harness is the set of tools, rules, and memory that keep an AI coding assistant working like a disciplined engineer rather than a free-form chatbot. It defines what the AI can do, checks its work at every step, and stores project knowledge so the assistant improves over time. Think of it as the scaffolding around tools like GitHub Copilot or Claude Code that turns them into a reliable delivery partner.
Does agentic engineering work with our existing stack?
Yes. The approach works with both brownfield and greenfield projects. Whether you run .NET, Angular, Node, or Python on Azure, GitHub Actions, or another CI/CD platform, the agentic harness layers on top without requiring a rewrite. Integration with your existing repositories, pipelines, and deployment targets is part of the setup.
Do we have to commit to a single cloud provider?
No. The architecture is portable by design: containers, infrastructure as code, and one pipeline that targets whichever host fits the workload. Azure where managed services and Entra integration earn their cost, Hetzner where a predictable monthly bill matters more. Moving a workload between them is a pipeline change, not a rewrite.
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