AI review
Solution review with concrete recommendations, like from a real reviewer.
Reach the developer level that companies value
PracticHub is a simulation of work in an engineering team
Work on tasks, go through code review, and get AI feedback like in a real team. Build your portfolio and confirm your level with a rating.
Git-aware approach
Evaluation considers not just your answer, but the codebase, architecture, and solution explanation.
Growth through metrics
Track iteration quality, execution discipline, and engineering skill progress.
Why developers do not get past the take-home task
The problem is not knowledge, but the level of working with real tasks
It is not visible how you work in a team
There is no visibility into how you discuss tasks, go through review, and bring solutions to a result
You write code, but do not work with tasks
No experience working with requirements, context, and expectations for the outcome
No code review experience
You do not know how to improve solutions after criticism, and that is a key team skill
Nothing to show
No portfolio and no clear proof of your level for companies
PracticHub closes these gaps through simulation of real work
Product idea
PracticHub is not training, but practice like at work. You go through the full cycle: from task to solution and improvements through code review.
Simulation of a real process
Instead of random exercises, you enter a product context with roles, requirements, and outcome expectations.
AI as an engineering team
Reviewer, QA, and Tech Lead assess the solution from different angles: correctness, architecture, edge cases, and requirement coverage.
Growth through a repeatable cycle
The focus is not on a one-off score, but on learning to consistently reach production-level thinking.
Companies can see your level
Metrics, solution history, and work through review show how you actually work in a team.
3 roles
Reviewer, QA, and Tech Lead evaluate solution quality separately
Git
Code and explanation are analyzed together, not separately
1+
Iterations after review become part of the core learning loop
24/7
Progress through metrics is visible through solution history and revision quality
How it works
You are not taking a test, you are working like a developer step by step
1
Choose a project
You get tasks that match the stack, language, and level, like in real work.
2
Work like in a team
You write code, use Git, and explain decisions, not just fill in a form.
3
Get feedback and the next step
You see what to improve and keep going, like in a real development process.
What you get in practice
Not just skills, but experience you can show to companies
Close real gaps
You see what holds you back: architecture, validation, readability, and working with requirements.
Learn to improve solutions
You do not just write code, you improve it after review, like in a real team.
Work like in a real team
Git, tasks, reviews, and responsibility for the result, without training shortcuts.
Show your level
Share your portfolio and rating so companies can see how you actually work.
Free during early access
Early access
PracticHub is currently open for free to early users
You can complete your first simulations, get AI feedback, and explore the platform without payment while we roll out early access.
Access is free, with reasonable daily limits on AI reviews.
Start getting real development experience right now
Begin with your first simulation and gain experience, a portfolio, and a rating