AI Education
A structured programme that teaches your engineers to use AI coding agents in their real work. Delivered in cohorts, over several weeks, by senior engineers who use these tools daily.
The problem
The adoption gap doesn't close on its own.
When a team is given AI coding tools without structured training, a predictable pattern follows:
Only a small group adopts on their own.
Roughly 5–10% of engineers get productive with agents unassisted. The rest try once, hit friction, and stop — or stay wary.
Habits and tools fragment across the team.
Different agents, different conventions, different quality. Output rises in patches, but the team as a whole isn't faster and the codebase gets harder to control.
Agentic coding is a new skill, not a switch.
It changes how a developer works day to day. That shift only happens with structured practice, repeated over weeks, on real work.
How it's taught
Real work on your backlog, not slides.
Cohorts of up to 15 engineers, taught over several weeks by re:cinq's senior engineers — the same people who use these tools to build software and run transformations for clients.
How each session runs
Cohorts of up to 15
Small enough for hands-on supervision. Weekly sessions over several weeks, with real work between them.
Doing, not watching
Slides set context. Most of each session is exercises with the tools, under a trainer's supervision.
Tasks from your own backlog
Real work surfaces real obstacles. That's where the most useful learning happens.
Adapted, kept current
Modules your team already knows get dropped. Content updates every few weeks as the tools change.
Who it brings along
Enthusiasts, the hesitant, and the sceptical.
For the enthusiasts
From
Personal habits, inconsistent tooling, running ahead of the rest of the team.
To
Productive within a set of shared standards the whole team follows.
For the hesitant
From
Tried an agent once, hit friction, and went back to writing every line by hand.
To
Confident daily use of agents on real production work.
For the sceptics
From
Worried the tools produce poor code, threaten the craft, or replace the role.
To
Reviewing and recovering from agent output with judgment, not fear.
How a cohort runs
What the programme actually looks like.
01
Discovery
Before kickoff
Scope the syllabus
We map what your team already knows and cut modules they don't need.
02
Kickoff
Session 1
Open with a listening exercise
Engineers name what worries them about AI. Nothing sits underneath the training.
03
Cohort sessions
Several weeks
Weekly hands-on sessions
Six modules, delivered weekly. Exercises on the team's own backlog.
04
Train-the-trainers
Optional
Prepare your own trainers
Your senior engineers learn to run the programme themselves.
01
Discovery
Before kickoff
Scope the syllabus
We map what your team already knows and cut modules they don't need.
02
Kickoff
Session 1
Open with a listening exercise
Engineers name what worries them about AI. Nothing sits underneath the training.
03
Cohort sessions
Several weeks
Weekly hands-on sessions
Six modules, delivered weekly. Exercises on the team's own backlog.
04
Train-the-trainers
Optional
Prepare your own trainers
Your senior engineers learn to run the programme themselves.
01
Discovery
Before kickoff
Scope the syllabus
We map what your team already knows and cut modules they don't need.
02
Kickoff
Session 1
Open with a listening exercise
Engineers name what worries them about AI. Nothing sits underneath the training.
03
Cohort sessions
Several weeks
Weekly hands-on sessions
Six modules, delivered weekly. Exercises on the team's own backlog.
04
Train-the-trainers
Optional
Prepare your own trainers
Your senior engineers learn to run the programme themselves.
Outcomes
What a cohort takes away.
Every programme commits to measurable outcomes agreed at the start. The standard baseline: at least 90% complete the curriculum and at least 80% report increased confidence.
A shared team standard
Engineers work to the same conventions and guardrails, so the codebase stays coherent as agentic use scales.
Sceptics turned adopters
The hesitant come along with the enthusiasts. A change-management outcome that quietly matters as much as the technical one.
The ability to teach yourselves
Train-the-trainers prepares your senior engineers to run the programme, so new joiners reach the same standard without us.
Measurable baseline
Completion, confidence, agentic-tool usage, and delivery metrics agreed up front, so leadership can see what the investment is producing.