Master Professional English
for Your IT Career
Real-world exercises built from actual tech documentation, code reviews, Jira tickets, and pull requests. Tailored for developers, QA engineers, DevOps, data scientists, and all IT specialists.
A migration pattern where new functionality is built around an existing system, gradually replacing it.
Welcome back
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32 Exercise Categories
Every skill you need to communicate confidently in tech environments, all in one place.
- PopularVocabulary800+ terms
- Grammar11 topics
- NewPronunciation30+ drills
- Reading15+ texts
- Writing9 role paths
- Listening12+ audio sets
- Speaking8 scenarios
- Email & Comms6 categories
- Phrasal Verbs60+ verbs
- Idioms & Slang50+ idioms
- Collocations100+ pairs
- False Friends40+ traps
- Acronyms200+ acronyms
- Code Reading5 languages
- Numbers & Data6 sets
- HotInterview Prep24 roles
Choose Your Learning Path
Role-specific vocabulary, exercises, and scenarios — because a DevOps engineer and a UX designer have very different English needs.
- Frontend DevDOM, CSS, JavaScript, accessibility
- CSS & Frontend Vocabulary
- Writing: PR descriptions
- Code Reading: JS/TS
- Backend DevAPIs, databases, architecture patterns
- API Design Vocabulary
- Backend Dev Vocabulary
- Reading: API documentation
- Full-StackEnd-to-end systems, API contracts
- Software Architecture Vocabulary
- Writing: Technical specs
- Interview Prep
- Mobile DeviOS, Android, release notes, app stores
- Mobile Development Vocabulary
- Writing: App store descriptions
- Writing: Release notes
- DevOps & CloudCI/CD, Kubernetes, infrastructure
- DevOps & Cloud Vocabulary
- Reading: runbooks & postmortems
- CLI Commands Reference
- SRE / PlatformSLOs, incidents, error budgets
- Cybersecurity Vocabulary
- Writing: Incident reports
- Reading: Error logs
- QA & TestingTest plans, bug reports, automation
- QA & Testing Vocabulary
- Writing: Bug reports
- Reading: Test plans
- Data Science & MLModels, pipelines, ML paper English
- Data Science & ML Vocabulary
- Reading: Research abstracts
- Numbers & Data presentation
- CybersecurityCVEs, threat modelling, advisories
- Cybersecurity Vocabulary
- Reading: CVE advisories
- Writing: Security reports
- ArchitectADRs, RFCs, trade-off language
- Software Architecture Vocabulary
- Writing: ADRs & RFCs
- Programming Paradigms
- Project ManagerStakeholders, OKRs, roadmap language
- Agile & Scrum Vocabulary
- Soft Skills for IT
- Writing: Status updates
- Tech WriterDocs-as-code, Diatáxis, API docs
- Writing: API documentation
- Reading: Technical docs
- Diatáxis Framework (Blog)
Start Here
Hand-picked exercises across different skills — a good place to begin no matter your level.
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Daily Standup Dialogues
Listen to real engineering standups, identify blockers, and answer comprehension questions.
Start exercise → -
Code Review Collocations
Master the word combinations that appear in real code review comments: "raise a concern", "address feedback", "needs refactoring".
Start exercise → -
Agile & Scrum Vocabulary
15 essential Agile terms with pronunciations, definitions, and real team-meeting examples.
Study set → -
DevOps & Cloud Vocabulary
CI/CD, containers, infrastructure-as-code — the 15 terms every DevOps engineer discusses daily.
Study set →
Generic English courses teach you how to order coffee or write a formal letter. We teach you how to write a clear bug report, present at a tech demo, read an RFC, and ace your system design interview.
- Real IT materials — exercises drawn from actual GitHub commits, API documentation, Jira tickets, and post-mortem reports
- Role-based paths — different content for Frontend, DevOps, QA, Data Science, and 20 more roles
- All four skills — reading, writing, listening, and speaking exercises in every category
- Free forever, no login — your progress is saved locally in your browser
- 20 languages — navigate the site in Ukrainian, German, Japanese, Spanish, and 16 more
// Exercise: Choose the correct phrase
// to complete the code review comment.
"This function is _____ because it
modifies the input array directly."
A) idempotent
B) pure
C) impure ← ✓
D) asynchronous What IT Professionals Say
From developers and engineers who use this platform to sharpen their professional English.
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"Before this site I avoided writing in English — now I write PR descriptions and Slack messages without hesitation. The exercises are exactly what you need at work, not in a classroom."
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"The vocabulary modules are brilliant. DevOps terms, Git commands, SLO/SLI — it explains the English behind concepts I already know technically. My on-call hand-offs are much clearer now."
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"I used this to prepare for interviews at international companies. The STAR method exercises and system design vocabulary helped me land my first English-speaking job offer."
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"As a QA engineer, I write bug reports every day. After going through the writing exercises I can write clear, reproducible reports that developers actually act on. Fewer clarification questions means faster fixes."
Frequently Asked Questions
Everything you need to know about learning IT English on this platform.
- English for IT is a free learning platform for software developers, QA engineers, DevOps specialists, and other IT professionals who want to improve their English in a technical context. Every exercise, glossary entry, and article is designed around real workplace language — not general English.
- No registration and no payment required. All exercises, glossary pages, vocabulary, and blog articles are completely free. Just open the site and start practising.
- Go to the Backend Developer or Frontend Developer topic page — each one has a curated learning path with vocabulary, exercises, and reading. If you're not sure, take the exercises overview to find your weak spots.
- The platform covers Beginner through Advanced. Each exercise is tagged with a level. If you can read basic English documentation (like a README file), you can start right away. No language test required.
- General English courses teach you to book a hotel or discuss the weather. Here, every example, sentence, and vocabulary item is taken from real IT contexts: code reviews, Slack messages, standup meetings, incident reports, and pull request comments. The vocabulary you practice is the vocabulary you will actually use tomorrow at work.
- New exercises, vocabulary sets, and blog articles are added regularly. The platform currently has over 250 pages of content — exercises, glossary entries, topic guides, and in-depth articles — and this grows every week.