# AI for Developers: from issue to reviewed change > Establish a dependable AI-assisted development workflow from issue to tested, reviewed change. Developers practise how to give coding tools the right repository context, plan changes, inspect generated work, run tests and leave evidence for reviewers. The focus is team reliability, not faster typing. ## What this program changes in practice Coding assistants can produce a convincing change before they understand the repository, the reason behind the issue or the tests that protect the system. That is why the workshop treats AI-assisted development as a team operating practice rather than a collection of shortcuts. Developers learn to provide useful context, require a plan, inspect the diff, run the right tests and leave evidence that makes the eventual review easier rather than more uncertain. The session is not a fixed sequence of demonstrations. The facilitator works with the team on Prepare repository context, Issue to plan, Plan to change, using GitHub Copilot, Codex & coding agents, Agent Design Canvas, Your approved AI tools when those systems are approved and available. Participants compare first results, make missing context visible and improve the work together. They learn not only which request works, but why an output is reliable enough to move into the next working step. The value should not end when people leave the room. Exercises therefore produce concrete outputs such as Repository instruction template, Agent-ready development workflow, Test-evidence checklist. They give colleagues a traceable starting point, show where human review is still required and make the next pilot smaller and more realistic. Optional follow-up work can build on those artefacts instead of beginning again with another general introduction. ## Program facts - Recommended format: Core workshop · 4–6 hours - Alternative formats: Focused workshop · 4 hours, Optional follow-up clinic · 60–90 minutes - Delivery: On-site / in person, online, or hybrid - Prerequisites: No technical prerequisite; exercises use approved tools and non-sensitive examples. - Audience: Software engineers, technical leads, platform teams and product engineers using or evaluating coding assistants and agents. - Reviewed: 2026-08-20 ## Tools participants use - **GitHub Copilot, Codex & coding agents:** Move from issue to plan, change, tests and review inside the team’s approved development environment. - **Agent Design Canvas:** Define the job, sources, tools, permissions, decisions and human checkpoints before building an agent. - **Your approved AI tools:** Exercises adapt to the systems, licences and data boundaries your organisation has approved. ## Outcomes - Give coding tools useful repository context - Move from issue to explicit implementation plan - Require tests and review evidence from agent work - Agree team boundaries, permissions and standards ## Plan a workshop around work worth improving ### What determines the quote? Share your team size, preferred format, location, approved tools and one workflow you want to improve. These details help scope the preparation, facilitation and any follow-up. Ask for an itemised proposal so you can compare the same scope—not just a day rate. ### How should we assess the value? Choose one representative task and record a baseline before the workshop. Compare the time needed, corrections required and quality of the reviewed output afterwards. Agree who owns the next trial. Treat productivity gains as something to measure, not a promised percentage. ## Practical syllabus ### 1. Prepare repository context Create instructions, architecture notes and constraints the tool can follow. ### 2. Issue to plan Turn an ambiguous request into a reviewable implementation plan. ### 3. Plan to change Make focused edits, inspect diffs and keep the developer in control. ### 4. Tests, security and review Require evidence, test failure paths and examine security-sensitive changes. ### 5. Team operating standard Define approved tools, permissions, review rules and a pilot backlog. ## What the team takes away - Repository instruction template - Agent-ready development workflow - Test-evidence checklist - Team standard and pilot backlog ## Prepared delivery - Sponsor alignment call - Short participant questionnaire - Examples adapted to your work - Facilitated live practice - Digital resources - Concise facilitator summary ## Frequently asked questions ### What will our team achieve in the AI for Developers workshop? Establish a dependable AI-assisted development workflow from issue to tested, reviewed change. The practical outcomes are: Give coding tools useful repository context; Move from issue to explicit implementation plan; Require tests and review evidence from agent work; Agree team boundaries, permissions and standards. ### Who is the AI for Developers workshop designed for? Software engineers, technical leads, platform teams and product engineers using or evaluating coding assistants and agents. ### Which tools will participants use? The practical stack includes GitHub Copilot, Codex & coding agents, Agent Design Canvas, Your approved AI tools. Exercises are adapted to the licences and systems your organisation has approved. ### How long is the workshop and how is it delivered? The recommended format is Core workshop · 4–6 hours. Every core workshop is designed to stay within four to six hours; alternatives include Focused workshop · 4 hours, Optional follow-up clinic · 60–90 minutes. Choose an in-person session at your organisation or an agreed venue, a fully online workshop, or a hybrid format. ### What preparation is required? No technical prerequisite is required. We hold a short sponsor alignment call and participant questionnaire, then adapt examples to approved tools and non-sensitive work. ### What does the team take away? The working package includes Repository instruction template, Agent-ready development workflow, Test-evidence checklist, Team standard and pilot backlog, digital resources and a concise facilitator summary. --- Provider: AI Workshop Saudi Arabia Canonical page: https://aiworkshop-saudi.com/workshops/ai-for-developers/ Contact: marhaba@aiworkshop-saudi.com