Let’s Solve Together

Turn AI Tools
into Engineering Practice.

Turn AI Tools
into Engineering Practice.

JustCode – AI Mastery is a live, instructor-led coaching programme that helps software delivery teams turn AI coding tools
into disciplined engineering practice.

JUSTSOLVE – AI MASTERY

Why Invest in JustCode – AI Mastery.

AI coding tools are now part of software delivery, and the value they create depends on how
consistently your whole team uses them.

Shared Engineering Practice.

Build one consistent way of working with AI coding tools across your delivery team.

Safer
Adoption.

Keep AI-assisted output within your quality and security standards through shared verification and review habits.

Reusable
Team Assets.

Leave with a Prompt, Agent and Skills Pack and Hackathon or Capstone assets your team keeps.

Whole-Team
Capability.

Extend developer enablement to testers, analysts and leads so gains reach the whole team.

THE PROGRAMME

What Our AI Engineering Coaching Covers.

Discover how proven software engineering practices translate to an AI-first delivery environment, applied across every stage of the software development lifecycle.

Across Your SDLC

Coding

Apply AI coding tools with clear intent, constraints and review flows.

Requirements

Clarify, structure and validate requirements with AI before any code is written.

Refactoring

Evaluate candidates' coding ability, problem-solving skills, and domain expertise with tailored tests.

Documentation

Produce accurate, maintainable documentation through AI- assisted workflows.

Testing

Generate test cases, edge cases and quality checks with human oversight.

Onboarding

Bring new team members up to speed with AI-assisted context sharing.

Turn Scattered AI Usage into Repeatable Engineering Practice.

Book a Fit Conversation

A Focused Two-Month Learning Journey.

Sessions blend theory, experimentation and practical translation into your team’s day-to-day 
codebases and workflows. 

Where does your team start?

We start by understanding your team, your tools and your delivery goals so every session reflects how your team works.

  • Team and tool context.
  • Delivery goals.
  • Cohort of 8 to 20 participants.

How does the coaching run?

Eight 2-hour instructor-led sessions build disciplined practice one session at a time.

  • Live, instructor-led coaching.
  • Remote or in-person delivery.
  • Verify, constrain, recover and review. 

How does learning become habit?

Your team applies each session through experimentation and real examples from
daily work.

  • Guided experimentation.
  • Real examples from your
    workflows.
  • Shared prompts and patterns

Where does the practice apply?

Your team translates what it learns into coding, testing, refactoring and review workflows.

  • Requirements and coding.
  • Testing and documentation.
  • Refactoring and onboarding.

What does your team keep?

The programme closes with a Hackathon or Capstone that produces reusable assets 
your team keeps. 

  • Prompt, Agent and Skills Pack.
  • Hackathon or Capstone assets.
  • Documented working patterns. 

OUR APPROACH

Why Choose JustSolve as Your AI Coaching Partner.

We coach your team to use AI coding tools with the same discipline you expect from every other part of delivery. 

Live,
Instructor-Led.

Practitioners coach your team in live, instructor-led AI training sessions, with no pre-recorded content.

Four Core
Disciplines.

Learn to verify, constrain, recover and review AI-assisted work at every stage of delivery.

Built for the
Full Team.

Build software engineering skills across your entire software development lifecycle.

Your Constraints
Respected.

Work within your approved security, IP and data-handling rules whenever sessions involve your code or tools.

Your Intelligent Transformation Partner.

Closing the AI execution gap starts with foundations. We help you move from AI ambition to AI-native execution, built responsibly and made to scale.

Book a Consultation

Career
Opportunities

Read More

Get in Touch with JustSolve.

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FAQs.

FAQs About JustCode – AI Mastery.

What is JustCode – AI Mastery?
JustCode – AI Mastery is our live, instructor-led developer coaching programme for software delivery teams. It 
helps your team turn AI coding tools into disciplined engineering practice, reusable assets and real delivery 
value across the SDLC. 
Is this an AI engineering training course?
JustCode – AI Mastery is live developer coaching for software delivery teams. It goes further than standard AI 
engineering training by focusing on disciplined practice, verification, constraints and reusable assets your team 
keeps. 
How do we train our developers on AI coding tools?
Developers build lasting habits with AI coding tools when coaching is applied to their own workflows. 
JustCode – AI Mastery runs eight 2-hour instructor-led sessions and a Hackathon or Capstone across the 
software development lifecycle. 
Do you offer Claude Code training for teams?
JustCode – AI Mastery currently focuses on Claude Code. ChatGPT Codex and Google AI Studio may also be 
included, depending on your team’s tools and context. 
Who is the JustCode – AI Mastery programme for?
The programme is built for the full software delivery team, including software engineers, QA and test 
engineers, business analysts, tech leads and engineering managers. 
How is this different from Embedded AI Engineering?
JustCode – AI Mastery is standalone coaching that builds your team’s capability through live sessions and a 
Hackathon or Capstone. Embedded AI Engineering adds embedded execution inside your live delivery, with 
reusable assets and adoption measured against an agreed baseline. 
How long does the programme run?

The programme runs over two months, with eight 2-hour live sessions followed by a Hackathon or Capstone.

How many people can join a cohort?

Each cohort includes between 8 and 20 participants. 

Is the instructor-led AI training remote or in-person?

Coaching runs remotely or in person, depending on your preference and logistics. 

What are the four disciplines?
Your team learns to verify outputs against intent and tests, constrain work with guardrails and standards, recover 
when an output is weak or off-track, and review everything through human-in-the-loop flows.