English for Software Engineers: The Practical Guide
Stand-ups, code reviews, technical interviews, cross-timezone teams: here's what tech English actually requires, and which approaches build the skills fastest.
By Bruna Marreiros, Cambly content specialist · Sep 4, 2026 · Updated Oct 13, 2026 · 10 min read

What is English for software engineers?
English for software engineers is the communication skill set engineers need to work in English-language tech environments: the social register of stand-ups, the rhythm of code reviews, the structure of architecture discussions. For non-native engineers, it's the difference between reading English documentation and leading a sprint planning meeting in English.
Type "english for software engineers" into Google and you'll get vocabulary lists, grammar guides, and "5 phrases to use in your next meeting" content. All of it treats technical English as a vocabulary problem, but what actually breaks down is communication.
If you can read technical documentation in English but freeze in a stand-up, this guide is for you. If you write clean code but your PR comments come out formal and stiff, this guide is for you. If you passed a B2 test and your first all-English sprint retrospective still felt like a different language, this guide is especially for you.
English for software engineers is a set of communication situations, each with its own rhythm, expectations, and failure modes. Vocabulary lists won't prepare you for a code review where a senior engineer types fast and expects you to respond in thread. Grammar tips won't help you push back on an architectural decision in a fast-moving meeting where everyone else is a native speaker.
What kind of English does software engineering actually require?
"English for software engineers" is four different communication skills wearing the same badge. Before you choose a practice approach, be honest about which gap is holding you back.
Take Diego, a senior backend engineer in Buenos Aires who joined a Berlin-based fintech a year ago. He codes in English daily, reviews PRs in English, and listens to English tech podcasts on his commute. But in the Tuesday architecture meeting where senior engineers debate decisions at speed, he listens, nods, and never pushes back, even when he disagrees and has the strongest opinion in the room on the system he built. What fails him is using English in real time, under pressure.
The 4 communication contexts that matter
Async reading and writing covers Slack threads, GitHub comments, PR reviews, Jira tickets, RFCs and documentation. Text-based, asynchronous, and forgiving, because you have time to compose, edit and look things up. Most engineers have some foundation here.
Spoken meetings are stand-ups, sprint planning, retrospectives, 1-on-1s with your manager, all-hands calls. Real-time, verbal, high social stakes. This is where most non-native engineers hit a wall, because there's no time to translate before speaking.
Technical discussions sit in between: pair programming, architecture reviews, debugging sessions, code walkthroughs. Partly written, partly verbal, highly contextual. They assume shared technical vocabulary but use it fast and informally, in a register no textbook covers.
High-stakes English is job interviews, performance reviews, stakeholder presentations, client calls. Lower frequency, higher consequences. Most engineers over-prepare vocabulary and under-prepare the thinking-while-talking part, which is where interviews and presentations actually get decided.
A 3-question diagnostic
Answer these honestly:
- Do you understand everything your teammates say in meetings, but rarely add anything yourself? (Yes → your gap is production under social pressure, not comprehension.)
- Can you write a clear technical proposal in English if you have a day to prepare? (Yes → written language is not a gap for you.)
- Does your heart rate spike when you need to disagree with a senior engineer in an all-English meeting? (Yes → confidence and register are part of your gap.)
If that's your profile, what closes the gap is real-time speaking practice in technical situations, with someone who gives you honest, immediate feedback.
6 approaches to improving tech English, compared honestly
Here are the six serious approaches engineers use, what each is good at, and where each falls short for technical communication specifically.
1. General English apps
Duolingo, Babbel and their equivalents are where many engineers start. Mobile, gamified, built for the general learner, and good at exactly that: building a daily habit, drilling basic vocabulary, patching foundational grammar gaps.
They don't know you're a software engineer. They'll drill you on food vocabulary and comparative adjectives while you're trying to learn how to push back on a feature scope in sprint planning. Their speaking practice is built for everyday conversation, not for the technical situations you actually work in, like a code review or a live architecture call.
General English apps are better when you want a daily habit and foundational drilling at your own pace; a tech-specific approach is better when you need to perform in real engineering situations. Keep the app if you have a streak going. Don't mistake it for technical communication practice.
2. English tech media (podcasts, YouTube, conference talks)
Most engineers already consume hours of English-language tech content, and it's valuable: passive exposure to technical vocabulary, native-speaker cadence, and industry-specific language. Comprehension gets faster over time.
Comprehension and speaking are different skills, though. You can follow a 45-minute conference talk on distributed systems and still be unable to explain your own PR in a live review. Listening is input; speaking is output, and the gap between them is where most engineers get stuck.
3. Immersion at work
Engineers already in English-heavy environments (all-English Slack, international teams, remote-first companies) get constant low-stakes exposure to how real technical communication sounds, plus contextual vocabulary that actually sticks.
Immersion without structure is slow and full of blind spots. You'll naturally avoid the situations where you're weakest, and nobody at sprint planning will correct you, because they're focused on shipping. The gaps that embarrass you don't get fixed unless you practice them deliberately.
Immersion gets you background improvement. Deliberate practice is a separate thing you have to add.
4. Writing practice (GitHub, Slack, documentation)
Deliberately writing more technical English (detailed commit messages, thoughtful PR comments, clear documentation) is a high-return habit. It improves clarity, register and professional tone, and reviewing other people's writing forces you to think explicitly about what works.
Speaking asks for something writing never tests. A developer who writes excellent documentation can still be the quietest person in the retrospective. Async written English and real-time spoken English don't substitute for each other.
Do this anyway, especially for GitHub and Slack. Just don't expect it to close your spoken gap.
5. AI conversation tools
ChatGPT's voice mode for speaking practice, Grammarly for writing feedback, DeepL for checking a phrase you're unsure of: these give you low-pressure reps without a human watching, and they're a useful first step for engineers too anxious to start with a real person.
But AI can't read the social texture of a technical conversation: the hesitation before your status update, the moment when you're about to say "I'm not sure this approach is right" and then don't. Your nervous system also knows the session isn't a real engineering discussion, so the confidence you build doesn't transfer cleanly to the stand-up.
Use AI for the first reps, humans for the real ones.
6. 1-on-1 practice with a technical English tutor
A real person, on video, focused entirely on the English situations your work requires. A skilled tutor can run mock stand-ups, practice code review discussions, rehearse architecture explanations, and give you immediate feedback on register, clarity and confidence. Unlike a colleague, their job in that session is to help you get better rather than ship a feature. Unlike AI, they can read the full social texture of a conversation and tell you when something would land badly with a senior engineer or a non-technical stakeholder.
Cambly's tutors come from countries including the US, UK, Canada, and Australia, and they're available 24/7 across time zones, which matters when your free hour is 11 p.m. in São Paulo or 6 a.m. in Tokyo.
Progress stalls if you don't push the scenarios. If every session rehearses "describe your current project," you'll get very good at describing your current project. Push into the uncomfortable ones: disagreeing with a technical decision, explaining why a deadline is unrealistic, asking for a promotion in English.
At a glance: the 6 approaches compared
The 6 approaches compared
General English apps
- Cost:
- Free, paid tiers
- Best for:
- Grammar, basic vocabulary
- Main downside:
- Not tech-specific
- Impact on real-time spoken tech English:
- Low
English tech media
- Cost:
- Free
- Best for:
- Comprehension, vocabulary input
- Main downside:
- Passive only, no output
- Impact on real-time spoken tech English:
- Low–Moderate
Immersion at work
- Cost:
- Free
- Best for:
- Context exposure, natural vocabulary
- Main downside:
- Unstructured; no feedback
- Impact on real-time spoken tech English:
- Moderate (over time)
Writing practice (GitHub, Slack)
- Cost:
- Free
- Best for:
- Async written English
- Main downside:
- Doesn't build spoken fluency
- Impact on real-time spoken tech English:
- Low
AI conversation tools
- Cost:
- Free, paid tiers
- Best for:
- Low-pressure first reps
- Main downside:
- Not a real human interaction
- Impact on real-time spoken tech English:
- Moderate (early stage)
1-on-1 technical English tutor
- Cost:
- Paid, highest per hour
- Best for:
- Real-time tech English, confidence
- Main downside:
- Requires consistent commitment
- Impact on real-time spoken tech English:
- High
Approach | Cost | Best for | Main downside | Impact on real-time spoken tech English |
|---|---|---|---|---|
General English apps | Free, paid tiers | Grammar, basic vocabulary | Not tech-specific | Low |
English tech media | Free | Comprehension, vocabulary input | Passive only, no output | Low–Moderate |
Immersion at work | Free | Context exposure, natural vocabulary | Unstructured; no feedback | Moderate (over time) |
Writing practice (GitHub, Slack) | Free | Async written English | Doesn't build spoken fluency | Low |
AI conversation tools | Free, paid tiers | Low-pressure first reps | Not a real human interaction | Moderate (early stage) |
1-on-1 technical English tutor | Paid, highest per hour | Real-time tech English, confidence | Requires consistent commitment | High |
The impact column is our assessment of how much each approach moves real-time spoken English when it's used as the primary method. Most engineers get further by combining methods, especially writing practice alongside regular tutor sessions.
How to use this guide based on where you are
Not all software engineers have the same gap. Here's which of Cambly's technical English guides fits your profile.
If your biggest gap is spoken meetings and stand-ups, common for B1–B2 engineers who feel stuck, prioritize real-time speaking practice in technical scenarios. Two 30-minute sessions a week focused specifically on stand-ups will do more for that gap than app practice.
If your gap is high-stakes situations (technical interviews, performance reviews, client presentations) you need scenario prep. Technical interviews have their own question types, pressure patterns and answer structures. See our guide to English for job interviews for how to prepare each of them.
If your gap is async written English (PR comments, documentation, RFCs) writing practice and deliberate documentation habits will serve you better than speaking drills.
For the broader picture of building spoken fluency across all professional contexts, see our guide to English speaking practice.
Where to start: a practical first month
This is the plan for an engineer at B1–B2 level whose main gap is spoken meetings.
Week 1. Diagnose. Record yourself giving a 2-minute status update on your current work. Listen to it. Notice which sentences you avoided because you weren't sure how to phrase them. That list is your actual curriculum.
In parallel, write one PR comment or Slack message a day in English that you'd otherwise have written in your native language..
Week 2. First real-time reps. Book a technical English session and tell the tutor your gap directly: "I struggle with stand-ups and real-time technical discussions." Share the status update you recorded, practice it live, then practice the uncomfortable version, where someone asks a follow-up you didn't prepare for.
Week 3. Push into uncomfortable territory. Practice the situations you most avoid: disagreeing with a technical decision, asking for clarification without losing face, explaining why an estimate needs to change. These stay exactly as hard for as long as you avoid them.
Week 4. Apply and iterate. Use what you've practiced in real meetings. Notice where you still translate mentally before speaking, and bring those specific moments to your next session.
Your next session
If you've read this far, you already know which gap is yours.
Pick one scenario you've been avoiding: the stand-up where you always say less than you mean, the code review where you nod instead of pushing back, the meeting where you have an opinion and keep it to yourself. Start there. Give it one 30-minute session, focused on that scenario alone.
Frequently asked questions
What is technical English?
Technical English is the language used to discuss technical work: the vocabulary of your domain plus the conventions for explaining systems, describing problems precisely, and giving and receiving direct feedback. For engineers it covers written forms like documentation and PR comments as well as spoken ones like stand-ups and architecture reviews.
How do you learn technical English?
By practicing the specific situations you need. Read and write in the formats your job uses (tickets, RFCs, PR comments), get exposure through English tech media, and add regular speaking practice with someone who can correct your register in real time. Vocabulary lists are the least useful part.
Why is English important for software engineers?
Documentation, open-source discussion and cross-border engineering work run largely in English. It's also the language your influence runs through: the engineer who can explain a design decision clearly gets more say in what gets built than the one who writes better code but stays quiet in the meeting.
Do you need English to work in software engineering?
You can build a career in a local-language market without it. What English changes is your range: remote roles at international companies, senior positions on distributed teams, and access to the discussions where technical decisions get made. Reading English is usually enough to do the job; speaking it is what opens the next role.
How do I improve my communication skills in English as a software engineer?
Start with output. Cambridge English estimates roughly 200 guided learning hours to move up one CEFR level, and the B1 to B2 jump sits in that range, so this is measured in months rather than weeks. Two 30-minute speaking sessions a week, aimed at the meeting formats you actually attend, are the part that moves it.
Do I need perfect grammar to work in English as an engineer?
No. Professional technical English needs clarity and confidence more than correctness. In practice, colleagues stop noticing grammar once your meaning is clear. What makes people tune out is speaking too quietly, hedging every statement, or going silent when a quick answer would do. Grammar is usually the last gap to close.
Can AI tools replace speaking practice with a person?
For comprehension, vocabulary drills and zero-pressure first reps, they work well. For the live, social parts of engineering work (speaking up in a stand-up, defending a technical decision, asking a sharp clarifying question in a code review) they have a hard ceiling. They don't know your team's register and can't simulate the cost of getting it slightly wrong in front of people who matter. Use both, in that order.