Give AI the right context
Explain the task, relevant code, constraints, and expected result. Turn broad requests into clear, manageable steps.
AI training & project coaching
Build your team’s AI skills on a real project.
Help your in-house developers use AI confidently in their everyday work. We combine hands-on training with guidance through a live project, then keep skills current with quarterly or half-yearly refresh sessions.
For in-house development teams
Make AI a useful part of how your team works.
Your developers may be trying AI for the first time, using it inconsistently, or looking for a better way to apply it across projects. We meet them where they are and build shared habits around real development tasks.
The aim is faster progress, sound engineering decisions, and software your team understands and can maintain. Developers practise the work themselves, with experienced engineers guiding them.
How it works
Learn together. Apply it as you build.
We agree a practical scope around your team’s experience, technology, and project schedule.
- 01
Choose the right project
Review current skills and select a manageable feature, improvement, or project milestone. Agree the goals, tools, access, and quality checks.
- 02
Build a shared foundation
Run practical sessions on giving AI useful context, planning changes, reviewing suggestions, and checking results. Use examples from your work.
- 03
Coach through delivery
Guide your developers as they plan, build, test, and review the agreed work. Use working sessions and project reviews to address real questions as they arise.
- 04
Review and refresh
Capture what worked, where the team needs more practice, and how to improve. Continue with quarterly or half-yearly refresh sessions.
What your team practises
Skills that carry into the next project.
Training can include tools such as Codex and Claude Code, shaped around the tools your organisation approves.
Understand existing software
Explore unfamiliar code, follow how a feature works, and check AI explanations against the application.
Build and improve features
Use AI to support development and refactoring. Keep changes focused, understandable, and consistent with your team’s standards.
Test and investigate issues
Create useful tests, reproduce problems, and assess suggested fixes. Check behaviour before accepting a change.
Review with confidence
Spot incorrect assumptions, unnecessary changes, and security concerns. Learn when to refine a suggestion or take a different approach.
Make good habits repeatable
Use shared instructions, review checklists, and clear documentation. Manage tool usage and cost as part of everyday development.
Guidance through a live project
Support for developers and their team leads.
We help structure the learning, guide AI use during the agreed project work, and review progress with your leads. Your team stays involved in the decisions and builds the confidence to continue independently.
- Practical oversightAgree milestones, review how AI is being used, and help resolve obstacles within the coaching scope.
- Clear ownershipYour team retains its code, project priorities, approvals, and release decisions. Coaching responsibilities and availability are agreed at the start.
- Quality and securityWork within your approved tools, access rules, and data policies. Review changes and run tests before they enter your release process.
- Useful measuresReview agreed signals such as task completion time, rework, test quality, and developer confidence to see what is improving.
Keep skills current
A refresh rhythm that fits your team.
Return to real project examples, review how the team is using AI, and practise relevant changes in tools and working methods.
Every three months
Quarterly refresh
A closer follow-up rhythm for teams actively expanding AI use. Review recent work, address recurring questions, and practise new approaches on current tasks.
Every six months
Half-yearly refresh
A broader review for teams with established working habits. Revisit standards, assess relevant tool changes, and refresh skills using examples from recent projects.
Each refresh includes a review of current practices, focused hands-on exercises, and agreed next steps. Session length, participants, and any support between sessions are agreed as part of the engagement.
What your team takes forward
Practical experience and a way to keep improving.
Experience on your own code
Hands-on practice applying AI to the agreed project tasks, with reviews and lessons your team can reuse.
A team playbook
Working guidance for task planning, useful context, code review, testing, and responsible tool use.
Reusable examples and checklists
Project-based examples, instructions, and review checks that support consistent practice.
A continuing learning plan
A summary of progress, areas for more practice, and priorities for the next quarterly or half-yearly refresh.
Common questions
Planning the right engagement.
Do our developers need AI experience?
No. We start by understanding the team’s current skills and adapt the exercises. Developers should be familiar with the software and development tasks they will work on.
What counts as a live project?
A real project, feature, or improvement from your backlog with a manageable scope and clear goals. Learning can take place in an approved development environment using your normal review and release process.
Will Arctech manage the entire project?
This service focuses on training, project coaching, and oversight of AI working practices. We agree who leads each activity and how progress is reviewed. If you also need development capacity or full project delivery, we can discuss that separately.
How long does the programme take, and what does it cost?
The scope depends on team size, current skills, project complexity, and the amount of coaching required. We agree the schedule, fees, tool requirements, and refresh arrangement before starting.
Start with your team
What could your developers achieve with better AI skills?
Tell us about your team, the tools you use, and a project you have in mind. We’ll help shape a practical training and coaching plan.