Quest IT
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New learning format

Don't study IT.Live in it.

The first career simulator where you do not watch lectures—you work inside a virtual IT team. Get tasks, write code, pass reviews, and solve real problems side by side with AI teammates.

Real workflows
AI team
100% practice
workspace.questit.app
SPRINT 4
Backlog
In Progress
Review
TEAM (AI)
Alex (Lead)
Sarah (QA)
TSK-8422h ago

Implement Auth API Endpoint

BackendHigh Priority

~/workspace/project-alpha $ git status

On branch feature/auth-api

Changes not staged for commit:

modified: src/controllers/auth.ts

Alex (AI Lead)Just now

Я посмотрел твой PR. Логика верная, но давай добавим rate limiting на этот эндпоинт, чтобы избежать брутфорса. Можешь использовать библиотеку, которую мы обсуждали вчера.

PR Approved
Task Moved to QA

Why courses no longer work?

The market is full of juniors who know syntax but cannot work in a team or solve real business tasks.

Synthetic environment

Typical courses give isolated homework graded by autotests. In real life, code is always written inside a large legacy codebase and real business constraints.

No communication

Development is 50% communication. How do you ask a senior? How do you defend a decision? How do you react to review critique? Lectures do not teach this.

First-job shock

Graduates get lost when they meet Jira, complex CI/CD pipelines, and Agile routines. Onboarding takes months, and employers do not want to pay for it.

Simulation format:your first workday

We recreated the infrastructure of a real IT company. You start as a Junior specialist and dive into the project from day one.

1

Receive a task in the tracker

No "write a function" assignments. You get a business requirement from an AI PM and break it down into technical tasks.

2

Work with the infrastructure

Clone the repo, set up the environment, write code, add tests, and push to the branch.

3

Go through Code Review

An AI Tech Lead reviews your code, leaves comments, requests fixes, or approves your PR.

Task Tracker
VCS
Team Chat
CI/CD
Role model

Your virtual team

The platform is populated by AI agents with different personalities, skills, and communication styles. They simulate real colleagues you will work with.

Tech Lead

"Why is this O(n^2)?"

Runs strict but fair code reviews. Forces you to think about architecture, patterns, and optimization.

Product Manager

"The business needed this вчера"

Sets product requirements, shifts priorities on the fly, and answers questions about business logic.

QA Engineer

"It broke in production"

Finds corner cases in your code, files bug reports, requires tests, and sends tasks back.

DevOps / SRE

"Pipeline is red"

Helps with Docker and infra setup, calls out memory leaks, and watches deployments and limits.

Graduate competency profile

Hard Skills (Code)
Git & CI/CD
Архитектура
Декомпозиция
Soft Skills
Code Review
020406080100

What you actually level up

We do not teach programming syntax from scratch. We teach engineering thinking and professional behavior.

Reading someone else's code

Learn to understand legacy projects and architecture without documentation.

Professional communication

Ask the right questions, defend decisions, and absorb feedback.

Git workflow

Resolve conflicts, rebase, cherry-pick, and craft clean PRs.

Task decomposition

Turn abstract business requirements into concrete technical tasks.

Format comparison

Why employers prefer simulator experience over typical course certificates.

CriteriaTypical coursesQuestIT Simulator
Task contextIsolated functions from scratchEvolving an existing product (legacy)
Code validationAutotests (passed/failed)Asynchronous Code Review from an AI Lead
Task definitionClear specs from an instructorBusiness requirements in Jira from a Product Manager
CommunicationChatting with classmatesWork threads, standups, argumentation of decisions
Resume outcomeA common pet project (To-Do list)Real commercial team experience

FAQ

Yes. The platform does not teach language syntax from zero. You should know the basics of your stack so the simulation can focus on real workflows.

No. Each role has context, responsibility, communication style, and escalation logic. They assign tasks, clarify requirements, review work, and move the sprint forward.

Around 4 to 6 hours per week is usually enough to move through scenarios without overload. If you want, you can go faster and close more tasks per sprint.

Yes. We look at your experience, stack, and goals. A confident junior and a mid-level specialist with workflow gaps will enter through different scenarios.

You receive tasks in a tracker, read requirements, build the deliverables for your role, answer comments, pass reviews, and bring the work to a completed result.

Yes. The simulation includes clarifications with Product, QA, Tech Lead, and other AI roles. You need to ask questions, negotiate, and defend decisions.

You leave with working cases, not just a certificate: how you handled requirements, reviews, revisions, and communication inside a team workflow.

Yes. The format is built around short iterations, so it fits evening practice or focused weekly time blocks without feeling like a second full-time job.

Ready for your first workday?

The platform is in closed beta. Leave a request to get early access and special conditions.

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