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AI Training for Software

Engineering Teams

Not a generic AI course. A tailored upskilling programme that maps your engineering workflows, identifies the highest-leverage AI opportunities, and trains your developers hands-on — using real tasks from your own backlog.

Request a ProposalSee the 6 Phases
~10 wks

End-to-end programme

duration

90%

Increase in AI tool

adoption rate

2×

Faster delivery

cycles post-training

45%

Reduction in cost

per feature

Why AI Training MattersWhy engineering teams need structured AI upskilling

Generic AI courses teach tools in isolation. Real productivity gains come from embedding AI into your actual workflows — with your codebase, your stack, and your constraints.

That’s why we built the Honeycomb AI Training Programme.
A comprehensive, 6-phase journey from discovery through ongoing support — designed to unlock practical AI capability at every level of your engineering org.

Real tasks from your backlog

Workshop sessions use actual issues from your team’s sprint — not toy examples.

Segmented by skill level

Teams where shipping faster per developer is a competitive advantage — every hour of training pays back in days saved per sprint.

Measurable outcomes

Every programme includes a success metrics baseline and a 30-day post-training review.

Security & compliance aware

Custom AI guidelines and approved tool lists tailored to your org’s security posture.

Programme Structure

6 phases. One complete transformation.

From the first executive interview to ongoing Slack support — every phase is designed to build, not just teach.

Up to 2 weeksMandatory — unlocks all other phases

Discovery & Alignment

The foundation every other phase depends on. We understand your engineering org at every level — leadership goals, team dynamics, and real pain points — before a single workshop is planned.

Executive interview

CTO / VP Engineering / Head of Engineering — 2h session + 1h preparation

Technical lead interviews

Up to 3 interviews with tech leads or managers (1 per specialisation, up to 3h total)

Expectations & success criteria mapping

2-hour joint session to define what success looks like for your org

Pain points & bottleneck identification

Structured analysis session (2h) — where AI creates the most immediate leverage

Timeline & milestone agreement

3-hour roadmapping session — dates, milestones, dependencies

Deliverables

  • Stakeholder-approved timeline
  • Programme kick-off presentation
  • Agreed success criteria document
Typical session count

5–6

Structured sessions from leadership to IC level

Total hours

~10h

Across all discovery and alignment activities

Duration

≤ 2 wks

Depends on customer schedule and availability

1–2 weeks

Initial Assessment

A deep technical audit of your team’s current AI readiness — tools, workflows, infrastructure, and individual developer profiles.

Organisational AI Readiness Audit

2h+ session per project group — current AI tool adoption, workflows, infra, security constraints, licence inventory

Individual Developer Profiling

30–45 min 1:1 interviews per developer — workflow analysis, skill assessment, tool preferences, friction points

Motivation & resistance evaluation

Understanding adoption blockers — critical for making the training actually stick

Audit Deliverables

  • Comprehensive readiness report
  • Team segmentation: beginner / advanced tracks
  • Priority improvement areas & risk identification
  • Customisation recommendations for delivery
Per developer

~1h

Individual profiling interview time per engineer

Conducted by

AI Champion

Assessment is run by a dedicated AI Champion

1 week

Custom Workshop Preparation

An inseparable part of delivery — every workshop is built from scratch around your team’s skill levels, your tech stack, and actual tasks from your current backlog. No recycled slide decks.

Agenda design per skill segment

Separate workshop programmes for beginner and proficient tracks

Real backlog task selection

We work with your leads to choose the highest-leverage exercises from your live sprint

Custom examples & code samples

Prepared using your stack and architecture — not generic Python notebooks

Stakeholder review & sign-off

Agenda approval with your technical leads before delivery

1–3 days

Workshop Delivery

Live, hands-on sessions where your developers write real code with AI assistance — guided by an instructor, on tasks from your own sprint board.

Group session format

Collaborative workshop with live coding, peer learning, and technique sharing

Live coding with AI assistance

Instructor-guided pair programming using the tools your team will use day-to-day

Real tasks, real outcomes

Participants leave having shipped actual work — not just completed exercises

Recording provided

Full session recording for async review and onboarding future hires

Format

  • Theoretical foundations + practical exercises
  • Session recording for async review
  • Beginner track (approx. half-day) + Advanced track (approx. half-day)
Preparation

1 wk

Custom agenda & content prep — included in delivery

Workshop tracks

2

Beginner and advanced, prepared & delivered separately

Session time

~half-day

Per skill-level track, including practical exercises

30 days post-training

Maintenance & Support

Training fades without reinforcement. We stay embedded in your team for 30 days — answering questions, sharing guidance, and helping new habits stick.

Internal Best Practices Guide

Company-specific AI usage guidelines — approved tools, workflows, security, compliance, dos and don’ts

Office hours

1h live Q&A session — open to all developers who attended the workshop

Slack / Teams channel access

Direct async access to your trainer for questions that come up in day-to-day work

Deliverables

  • Clickable internal best practices guide
  • Security & compliance AI policy (your context)
30-day mark — integral part of phase 05

Success Measurement & Reporting

We close the loop with real data — tracking the metrics we set at discovery, surfacing what worked, and giving you a roadmap for what’s next. Included as a non-billable part of every maintenance package.

30-day metrics review

Performance against the success criteria agreed in the Discovery phase

Developer satisfaction survey

Online questionnaire — anonymous, structured, and shared with your stakeholders

Private custom report

Deep-dive on team dynamics, individual strengths and weaknesses, and improvement recommendations

Feedback call with main stakeholder

Walkthrough of findings and next-step recommendations with your CTO or VP Eng

Deliverables

  • Comprehensive success metrics report
  • Private team dynamics analysis
  • Continuous improvement recommendations
Support period

30 days

Active support window post-delivery

Measurement

Free

Success reporting is a non-billable integral part

Report type

Private

Confidential insights shared only with your stakeholders

What You Walk Away With

What your engineering team

walks away with

AI-Augmented Dev Habits

Your engineers will have ingrained workflows for using AI tools at every step — writing, reviewing, testing, and documenting code.

Team Segmented by AI Skill

Clear understanding of where each developer stands — a foundation for growth, pair assignments, and internal mentoring.

Custom Internal AI Guide

A clickable, living document of approved tools, security guidelines, and best practices — specific to your org, not a template.

Faster Feature Delivery

Teams trained with real backlog tasks ship faster from day one — because they practised on real work, not hypothetical examples.

Reduced Onboarding Time

Session recordings and the internal guide cut the time it takes to bring new hires up to your team’s AI productivity standard.

Measurable ROI Baseline

We document your pre-training metrics and return at 30 days with a private report — so you can prove impact to stakeholders.

Live Workshop Structure

Programming Workshop — Beginner TrackBeginner

Beginner
  • AI tool setup and environment check
  • Prompt engineering fundamentals
  • Live coding: feature from your backlog
  • AI-assisted debugging walkthrough
  • Q&A and technique sharing

Programming Workshop — Advanced Track

Proficient
  • Advanced agent workflows & context management
  • AI-assisted architecture review
  • Autonomous test generation in your codebase
  • Custom AI pipeline integration patterns
  • Peer technique sharing and critique
Approx. half-day per track · Group format · Recording included
Workshop DeliveryReal code. Real tasks. Real outcomes.

Every workshop session is designed around what your developers actually work on. No artificial examples. Participants ship real work during the session — and leave with techniques they’ll use the next morning.

Live coding with AI assistance

Instructor demonstrates and guides in real time — developers code along

Instructor-guided problem solving

When developers get stuck, the instructor works through it live — a teaching moment, not a script

Peer learning & technique sharing

Senior engineers share what works — creates a culture of continuous AI skill-building

Recording for async review

Full session available for team members who couldn’t attend, and for onboarding new hires

After the WorkshopSupport that makes training stick

A workshop without follow-through fades in two weeks. Our 30-day integration period keeps momentum going.

Internal Best 
Practices Guide

A clickable, living reference document — built for your org, not a template.

  • Company-specific AI usage guidelines
  • Approved tools and workflows for your stack
  • Security & compliance considerations
  • Dos and don’ts tailored to your context

30-Day Integration Period

Embedded support while your team builds new habits in real work.

  • 1 hour live office hours Q&A session
  • Slack / Teams channel — async trainer access
  • Questions answered in the context of your actual work

Success
Measurement

We close the loop at 30 days — so you have the data to show what changed.

  • Developer satisfaction survey (online)
  • 30-day post-training metrics review
  • Private custom report on team dynamics
  • Feedback call with main stakeholder
From Discovery to Delivery

From first call to measurable results ~10 weeks

Step 1
Discovery & Alignment
Executive & lead interviews, success criteria mapping
≤ 2 wks · always included
Step 2
Initial Assessment
AI readiness audit, developer profiling, team segmentation
1–2 wks
Step 3
Workshops
Custom prep + live delivery — beginner & advanced tracks
1 wk prep + 1–3 days
Step 4
Maintenance & Measurement
30-day support, best practices guide, Slack access, success
30 days
Who This Is ForBuilt for engineering orgs that want to stay ahead

The programme is designed for technology companies where developers are the primary value creators — and where AI adoption directly impacts delivery speed and product quality.

It works best when leadership is committed — not just curious. When there’s a clear mandate to improve AI fluency across the team, results compound quickly.

Book a call
Engineering teams of any size

Large enough to have meaningful skill-level variation; structured enough to run parallel training tracks.

Startups scaling engineering capacity

Teams where shipping faster per developer is a competitive advantage — every hour of training pays back in days saved per sprint.

Enterprise orgs modernising at scale

Large teams with existing tool investments who want to standardise AI adoption and build internal capabilities.

CTOs & VPs Eng driving AI strategy

Leaders who need a concrete, measurable programme — not a one-day workshop — to justify the investment to the board.

Recognized by Clutch

We’re proud to be named one of Clutch’s Top 100 Fastest Growing Companies in AI Development

Trusted by clients. Powered by AI.
Check the testimonials

Common questions

Everything you need to know

Still have questions? Book a call and we’ll walk
through your specific situation.

  1. Generic AI courses teach tools in a vacuum. Our programme begins with an audit of your actual workflows, tools, and team — and every workshop exercise uses real tasks from your sprint board. You don’t practice on hypothetical examples; you ship real work during the session.

  2. The Individual Developer Profiling component is priced per seat. We’ll scope the right number based on your team size and goals during the Discovery phase — and give you a transparent breakdown before anything is agreed.

  3. Both are available. Discovery and assessment sessions are typically held remotely. Workshop delivery can be done remotely or on-site — on-site availability depends on location and is particularly effective for the group coding format and peer learning dynamic.

  4. That’s expected — and it’s why the assessment phase exists. We segment your team into beginner and advanced tracks during the audit, and deliver separate workshop sessions for each group. Nobody gets left behind, and nobody is bored.

  5. We cover the tools most relevant to your stack and security requirements — typically GitHub Copilot, Cursor, Windsurf, Claude, and team-specific agent workflows. Tool selection is confirmed during the assessment and is part of the custom agenda your stakeholders approve before delivery.

  6. We set measurable success criteria in the Discovery phase — typically around developer velocity, AI tool adoption rate, and time saved per sprint. At the 30-day mark we run a full metrics review against baseline, a developer satisfaction survey, and deliver a private report to your main stakeholder with quantified outcomes.

Ready to upskill your engineering team with AI?

Tell us about your team and we’ll put together a scoped proposal — typically within 72 hours. No commitment required.

Free discovery call — no pressure, no pitch deck

Transparent, modular pricing — you choose the phases

Fully customised to your tech stack and team size

Proposal delivered within 72 hours

Request a proposal

We’ll review your details and follow up within one business day.

    No commitment required. We’ll respond within 1 business day.

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