Agentic Software Engineering
From AI tools to measurable team impact
Copilot, Cursor, or Claude Code have been rolled out, and individual developers are noticeably faster. Yet at team level, throughput is not increasing to the same extent, and the business case for your use of AI is difficult to demonstrate.
Faster coding does not automatically eliminate bottlenecks across the entire development process: unclear tickets, time-consuming context gathering, review latency, testing, QA, and operations. Individual coding assistants do not cover this entire process chain. What is missing is orchestration across the entire development process.
We build this missing layer: a controlled, agentic layer for your Software Development Lifecycle. Specialized agents handle individual steps, from backlog refinement to code review, and hand over to humans at clearly defined approval points – enabling transparent automation with a human in the loop.
We are tool-agnostic: We integrate existing applications wherever they already fulfill the respective task. We develop missing components ourselves. We start with the one step that is holding back throughput the most, bring it into a production pilot within 8 to 12 weeks, and measure the impact on your team’s throughput.
Our team supports you throughout the entire journey: from assessing your codebase and process to the first production pilot and the rollout across additional steps and teams. The resulting orchestration layer remains auditable, integrable, and scalable across your SDLC.
Timothy Krechel | Tech & Product Management Consultant, Qvest Digital AG
Our service portfolio
Assessment & Discovery
Identify the biggest lever: We analyze your codebase, development process, and toolchain and work with you to identify the SDLC step with the greatest automation potential.
Refine the business case: You receive a concrete setup recommendation and a robust business case before you invest.
Pilot
Automate one bottleneck in production: We bring a specialized agent for your most critical step into production within 8 to 12 weeks, with a real team and a clear human in the loop.
Make the impact measurable: We measure the effect on your team’s throughput, not on an isolated demo. This creates a solid foundation for further scaling.
Scale
Roll out across the SDLC: We expand automation step by step across additional process stages and teams, from backlog refinement to code review.
Build a platform that grows with you: With every engagement, your orchestration layer grows – integrable, auditable, and tailored to your environment.
Your benefits – what sets us apart
We close the gap between deployed AI tools and actual team output. Instead of focusing on productivity gains for individual developers, we make the velocity of your entire team measurably visible, with a payback that delivers tangible value.
Every agent hands over to a human at a clearly defined approval point. You can see what the agent has done, which sources it has used, and where you can intervene. Auditable, governance-compliant, and without losing control.
We do not tie you to a single platform. Where your existing tooling – Copilot, Cursor, Claude Code, Jira, GitHub – gets the job done, we use it; where there is a gap, we build. No lock-in, full integration into your toolchain.
You do not need to overhaul your entire process to get started. We begin with the one step that creates the biggest bottleneck and bring it into production within 8 to 12 weeks.
We are software engineers, not purely AI consultants. We talk to your teams about engineering problems and build the orchestration layer that reliably brings AI agents into your day-to-day development workflow: from ticket to mergeable PR.
Ready to make AI effective in your software delivery?
Let us identify the step in your development process where AI can make the greatest contribution in a free discovery workshop. Contact us, and we will discuss what an initial pilot could look like.