Snap — microlearning for engineers

You used AI to ship a feature — but you couldn't really explain how it worked, or why.
40-hour AI courses don't stick. You forgot half by the time you finished slide 200.
Tokens burned ≠ skills earned. Your usage bill grew; your understanding didn't.
Your manager wants ROI from the AI time you logged. You don't know what to point at.

IF YOU SHIP TEAMS

Your team's AI literacy isn't keeping pace with the market — and you can see it in the velocity numbers.
Headlines say 'AI replaces engineers.' Your engineers heard them too. Morale is wobbling.
Generic LMS subscriptions sit unused after week one. You paid for credentials, not capability.
You need engineers who use AI as leverage — not as a crutch the next outage exposes.

OUR APPROACH

Three things we hold.

Microlearning

Small 4-min steps. Not 40-hour marathons. The kind of pace a working engineer can sustain.

Real Docker

Every lesson ships as a runnable container. Pull it. Run it. Lift it into your codebase.

Engineers → engineers

Built by people who ship AI to production. No fluff, no instructor-staring-into-camera.

HOW IT WORKS

Inside a Snap lesson.

One topic, four minutes, a real container, a quiz. That's the loop. Repeat 30–50 times and your team has a production-grade understanding of any AI domain.

01Pick a topic

RAG · Agents · Prompts · Fine-tuning · Deploy. Each is a focused 4-min path, not a course.

02Run the container

docker run snap/<topic>:lesson-01. Working code in your terminal in under 30 seconds.

03Follow the steps

Concept · diagram · code diff · command · mini-game · quiz. No 30-min monologue videos.

04Lock it in

Spaced repetition pings on day 1, 3, 7, 30. Skill stays past the next API rev.

~/snap-rag · lesson 03

$ snap start rag-vector --lesson 03

Pulling snap/rag-vector:lesson-03...

✓ Container ready (3.2s)

STEP 1/6 · CONCEPT

Re-ranking: why a 2nd pass beats raw recall.

STEP 2/6 · CODE

edit src/retriever.py · 14 lines

STEP 3/6 · COMMAND

$ pytest tests/test_rerank.py -v

✓ 4 passed in 0.8s

→ answer-quality +18% (eval set, n=200)

LIVE DEMO · NO SPLASH SCREEN

FOR THE ENGINEER

What you take away.

Snap was built so an IC can point at concrete things at their next 1:1. "I shipped X with Y, and here's the lab I built it from."

Sustainable mastery
Patterns survive the next API rev. You'll still be effective when the model name changes.
Demonstrable ROI
Every lesson ends with a measurable outcome you can paste into a perf review or PR description.
Real artefacts
Each lab is a Docker image you keep. Lift it into your next project; show it in your portfolio.
Effective, not noisy
Mastery is being effective and sustainable — not spending more tokens. Your bill won't grow either.

FOR THE TEAM · FOR THE OWNER

AI won't replace your engineers.
Engineers using AI will.

Snap is the corporate-training layer that turns AI from a threat into an unfair advantage. Same headcount. Higher throughput. Calmer Slack.

See team plans

AI as leverage
Your engineers ship more, faster — without giving up the keys to the kingdom.
Cohort visibility
Heatmap dashboard: who shipped what, when. No more guessing if the training stuck.
Role-specific paths
Backend · Frontend · Data · SRE · Mobile · QA. Same depth, different framing.
Compliance-ready
On-prem registry · SAML SSO · EU VAT handled · GDPR-clean. CSM at Enterprise.

WHAT THEY SAY

From engineers who ship AI.

Snap is the first AI training I haven't refunded. The Docker-image-per-lesson thing is just correct.

@sre_maya

infra · platform team

Verified

I lifted the RAG re-ranking lab into our product the same week. 18% answer-quality lift, measured.

@kofi.infra

SRE · series-B SaaS

Verified

We rolled it out to 24 engineers in three weeks. The cohort heatmap is the only thing I trust.

@devops_jules

head of engineering

Verified

1,765

ENGINEERS LEARNING

AI TOPICS

193

MICRO-LESSONS

127

DOCKER LABS

PRICING · NO TRIPWIRES

Transparent. Cancel one click.

No countdown timers. No 21-login refund gates. No mystery renewal hike. The Coursiv playbook is not the playbook.

FREE

€0forever

3 starter lessons · Full Docker access · No card

SOLORECOMMENDED

€19/mo · annual €144

All topics · All labs · Spaced repetition · Cancel anytime

TEAM

€15/seat/mo · 5+ seats

Cohort dashboard · SSO · Per-stack labs · CSM at scale

Full pricing comparison

READY TO MASTER

AI Skills Mastering —
for you, and for your team.

Start with one free lesson. Pull a real Docker image, follow four minutes of steps, finish with something measurable. Then decide if your team needs the rest.

From engineers, for engineers · No tripwires · EU VAT handled · Invoices in your account

Sound familiar?

Three things we hold.

Inside a Snap lesson.

What you take away.

AI won't replace your engineers.Engineers using AI will.

From engineers who ship AI.

Transparent. Cancel one click.

AI Skills Mastering —for you, and for your team.

AI won't replace your engineers.
Engineers using AI will.

AI Skills Mastering —
for you, and for your team.