AgentDLC & team enablement
Practical workshops and implementation support for agent-assisted software development. Connect the tools to a repeatable delivery method: understand the requirement, shape the work, implement, review and verify the result.
Discuss your projectEngineering leaders, developers, product owners and teams adopting coding agents
Considered together.
Built around your work.
Access to a coding assistant does not establish a reliable engineering practice. Teams still need to frame work, control repository context, review changes and decide what counts as done. AgentDLC brings those responsibilities into hands-on learning built around a relevant engineering task.
Shape a workstream around the capabilities you need. The proposal defines which parts are included and how they will be evaluated.
Understand the team’s current delivery process, repository structure and approved tool access. Identify the work that benefits from agent assistance and the boundaries that must remain explicit.
A programme can begin with repository orientation and read-only analysis before moving into implementation. Existing review, data-handling and release policies remain part of the exercise.
Work through practical tasks using an agent-assisted development lifecycle. Learn to turn a requirement into a bounded implementation with observable acceptance criteria.
Exercises can cover understanding unfamiliar code, specifying a change, supplying relevant context, inspecting a diff and running focused verification. The curriculum is selected for the participants and their actual work.
Develop the habits that distinguish plausible generated code from a change the team can responsibly own. Review architecture, behavior, access boundaries and the evidence for completion.
The emphasis is on meaningful checks, not maximal process. Participants learn when to stop, how to surface missing information and how to avoid expanding a small requirement into unnecessary architecture.
Extend the learning into a selected team workflow, with shared working agreements and review points. Make the practice understandable to both engineers and the people accepting their work.
Implementation support can help establish repository guidance, scoped task briefs and an evidence-based definition of done. Adoption is assessed through the quality and repeatability of actual delivery, not tool usage alone.
Concrete outputs to agree at the start of an engagement. The final scope depends on your systems, access and priorities.
Inside an engagement
Illustrative programme: an engineering team wants to use coding agents responsibly in an existing codebase.
Participants leave with a worked delivery pattern they can repeat, including the judgement needed when the agent’s output is incomplete or wrong.
Start with enough detail to make a good decision. Expand the work when the first scope has earned it.
Review the problem, existing systems and intended users. Identify the first complete workflow, its dependencies and the evidence that would demonstrate a useful result.
Agree responsibilities and review points. Develop the experience and technical implementation together, with working increments that can be inspected against the brief.
Review the result in the agreed environment. Document configuration, remaining limits and operating ownership. Ongoing support or further development is scoped explicitly.
Scope, responsibilities and commercial terms are agreed with your team.
Tools appear in the exercises, but the programme is about the engineering workflow around them. Requirement quality, context, review and verification remain useful when the tools change.
That can be scoped when access and confidentiality permit. Otherwise, a representative training repository can provide a practical exercise without exposing private code or customer information.
Duration depends on the participant group, depth and implementation support required. We agree the curriculum and schedule after understanding the learning objectives; this page does not prescribe a fixed package.
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