Turn your engineers into AI-native product builders
AI now writes most of the code. What separates companies that ship from ones that stall is engineers who master architecture, product and AI engineering — and own what they build. Archicise trains your team to do exactly that.
- 5 disciplines · 16 categories
- AI coaching on every step
- One dashboard for your team
System Design
Design a Rate Limiter
Acme Engineering
12 engineers · 5 disciplines
Team avg score
last 90 days
- Software Architecture88
- Product Engineering81
- AI Engineering79
- Quality Engineering84
- Platform Engineering76
- Software Architecture
- Product Engineering
- AI Engineering
- Quality Engineering
- Platform Engineering
- System Design
- Database Design
- API Design
- Object-Oriented Design
- Discovery & Scoping
- Metrics & Experimentation
- Delivery & Ownership
- AI System Design
- Agent Engineering
- Evals, Guardrails & Cost
- Test Strategy
- Automation & CI
- Testing AI Systems
- Deployment & Release
- CI/CD Pipelines
- Infrastructure & Reliability
Engineers who deliver value in the age of AI
Not faster typists. Engineers of excellence who own complete projects, use AI to be as productive as possible, and turn advanced product, architecture and AI knowledge into customer value.
Full ownership
Engineers who take a project from problem to production — scoping, designing, shipping and operating it — instead of waiting for tickets.
AI-multiplied productivity
Engineers who direct coding agents and AI tooling to build faster, while keeping the architectural judgment that keeps systems sound.
Customer value, not just output
Product thinking built in: what to build, why it matters, how to measure it — so every sprint moves a business metric.
AI inside your products
Engineers who can design and ship AI agents and LLM features into what you sell — taking your product to the next level in the industry.
Five disciplines. One kind of engineer.
The five things software engineers must master to guide AI agents and build successful products today.
Software Architecture
Design systems that scale, survive failure and stay cheap to change.
- System, database & API design
- Object-oriented & domain design
- Trade-offs at scale: consistency, resilience, cost
Product Engineering
Build the right thing — and own the outcome, not just the code.
- Discovery, requirements & scoping
- Metrics, experiments & iteration
- End-to-end ownership of a product area
AI Engineering
Put AI to work — in the workflow and in the product.
- Agents, RAG & LLM application architecture
- Guiding coding agents to ship faster
- Evals, guardrails & cost control in production
Quality Engineering
Decide what to test, how, and when it's safe to ship — for any kind of system.
- Test strategy for any kind of system
- Automation, CI & release confidence
- Testing systems with AI agents inside
Platform Engineering
Ship safely, repeatedly and observably — from commit to production.
- Deployments, releases & rollbacks
- CI/CD pipelines that stay green
- Infrastructure, observability & incidents
One engineer. Any stack.
Modern engineers adapt to the technology each problem needs — on existing systems or from scratch. That flexibility doesn't come from learning more frameworks: it comes from fundamentals, product thinking and AI that transfer across all of them.
Join any existing project
Walk into a Java service, a PHP monolith or a React app from three redesigns ago, map its architecture and contribute safely in days — not months.
Start new projects in the ideal stack
Pick the technology the problem deserves — not the one the team happens to know — and take it from zero to production.
Fundamentals + AI = flexibility
Architecture, product thinking and AI fluency transfer across every stack. Coding agents fill the syntax gap; the engineer supplies the judgment.
From sign-up to a stronger team in three steps
Register your company
Create your workspace in minutes and invite your engineers with a link. No payment needed to start.
Your engineers practice
They work through real-world problems across architecture, product, AI, quality and platform engineering — structured, step by step.
You see the progress
AI coaches every submission with specific feedback and a score. Your company dashboard shows activity and growth per engineer and discipline.
Exercise categories
Real-world exercises across the four pillars — the same problems your engineers face at work.
Articles & video classes
Fundamentals, patterns and trade-offs your engineers can study before they practice.
The platform that keeps your engineers at the top
AI gets better every month at what humans used to do. Archicise is how your engineers keep bringing value at work — and how you see it happening.
Company account & seats
Register your company, invite engineers by email and manage who's in the workspace — owners and admins get full visibility.
Usage & progress dashboard
Activity, submissions and scores per engineer and per discipline. Spot gaps, measure improvement and invest coaching where it matters.
Interviews module
Run architecture, product, AI and quality engineering interviews directly on Archicise. Hire for the skills that matter now that AI writes the code.
5
Disciplines every engineer must master
AI
Coaching on every submission
1
Dashboard for your whole team
Ready to build an AI-native engineering team?
Register your company, invite your engineers and watch them grow into owners who ship real value with architecture, product and AI expertise.