AI Coding Agents & Agentic Development
Help your engineering team adopt AI coding agents as part of a repeatable development process, from the first pilot to repository setup, review, and release workflows.
A workflow your team can actually use
We start with the repository and the work you want to delegate: investigation, implementation, testing, or documentation. Agents need useful project context, bounded tasks, and an explicit definition of a finished result.
- Repository instructions and technical context
- Task templates and acceptance criteria
- Agent and tool configuration
- Access boundaries for code, services, and credentials
Connect agents to engineering checks
Generated code enters the same review process as other changes. We help connect the agent workflow to automated tests, build checks, pull requests, and CI, so your team can inspect both the change and the evidence behind it.
- Automated checks and relevant test selection
- Code review and pull request workflows
- CI integration and release responsibilities
- Documentation of limitations and approval points
Pilot, evaluate, and refine
A pilot uses a defined set of real tasks. Together we review the output, the amount of human intervention required, and how well the process fits your team. These observations guide the next iteration and help establish repeatable practices suited to your team.
Training and ownership
We can provide working examples, team training, and handover documentation. The aim is a process your engineers understand and can maintain as their repository, tooling, and requirements change.
Discuss your project
Share your goals, users, existing systems, and any launch constraints. We will use them to scope the work and agree deliverables, timing, and commercial terms.
Contact Zorqubit Labs LLC