Cursor training, 1-on-1.You code faster with the AI IDE.
A Cursor expert opens your project with you and gets you up to speed: Tab and autocomplete, Composer and the Agent for multi-file work, context on your codebase, rules, @-mentions, model choice. We start from your real code, not theory.
★★★★★ 4.7/5 · 300+ pros trained · France Num certified
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
AttioAttio Implementation Partner
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude CodeClaude CoworkClaude Design
Clay
Clickup
Cursor
DeepSeek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Folk Implementation Partner
Freepik Spaces
Gamma
GeminiWe build in Cursor for real clients, not just in theory.
Most Cursor trainings are tutorials recorded by people who opened the tool the night before. At Hack'celeration it's the opposite: steering Tab, running Composer across files, writing clean .cursorrules, picking the right model per task, that's our daily agency work. Everything we teach you, we practice on shipped projects. We know the traps (the Agent you accept without reading the diff, the context badly framed on a big repo) because we've already solved them.
- We build in Cursor for real clients every week, not just in theory
- 1-on-1 format: the trainer adapts to your level, beginner or seasoned dev
- We tell you when Cursor isn't the right call (sometimes Copilot is enough, sometimes Claude Code in the terminal is faster)
- We start from your real repo and your actual bugs, not a dummy project
Four pillars so you code fast and clean.
A badly handled Cursor means Tab you put up with, Composer you accept without reviewing, and generic code that doesn't look like yours. Most of the trouble comes from method, not the tool. We pick up your real project and work through the four pillars together.
- Setup and Tab
Set up clean, with autocomplete that keeps up
We install Cursor, bring over your VS Code extensions and shortcuts (Cursor is a fork, so it all carries over), and dial in Tab. That's the autocomplete that predicts your next edit across multiple lines, not just the next word. Most people put up with it instead of steering it. We teach you to accept, reject and guide its suggestions so it actually speeds you up.
Set up Cursor and Tab - Composer and Agent
Multi-file changes, not copy-paste from a chat
Composer and Agent mode edit several files at once, run terminal commands, and loop until things compile. We teach you to frame a request (Cmd+I), read the diff before you accept, and know when to take back the wheel. Used well, you refactor a whole module in one pass. Used badly, you accept bugs blind.
See Composer and Agent - Context and rules
Cursor understands your code, not one isolated file
Cursor indexes your repo and answers across the whole codebase, not just the open file. We use @-mentions (@Files, @Folders, @Docs, @Web) to point it at the right context, and we write your project rules (.cursorrules) so the AI respects your conventions, your stack and your style. The result: fewer generic answers, more code that looks like yours.
See context and rules - Ship for real
Real features, and good habits
The AI IDE speeds you up, but it doesn't think for you. We work on your real codebase: add a feature, write tests, fix a bug, read every diff before you merge. We build the good habits (small commits, precise prompts, systematic review) so you go fast without piling up technical debt.
Talk to a trainer
Meet our trainers, leave with a plan.
Drop your email. We get back to you to connect you with a Hack'celeration-certified trainer: we look at your setup and your project in Cursor, spot what's slowing you down, and tell you where to start. No commitment, even if you don't take the training.
- A diagnosis of your Cursor setup (extensions, Tab, models)
- The first actions to take, in priority order
- The right 1-on-1 format for your level and your stack
- An honest take: Cursor, Copilot or Claude Code for your case
Your Cursor program, step by step.
Five steps, no skipping. Each one on your real project, with a clear deliverable. From the first session we audit your setup and steer Tab on your code. By the end, you code fast in Cursor without us.
- Step 1 · Setup and stack audit
We open your real project in Cursor and look at how you code
First session, we share your screen and look together: your stack, your repo, how you use the editor today. Coming from VS Code or starting from scratch? Putting up with Tab or ignoring it? We spot what's actually slowing you down and what Cursor can unlock on your own code. You leave with a clean setup (extensions, shortcuts, models) and the list of next actions, in priority order. No theory, your real project.
- Step 2 · First guided session
You steer Tab and chat on your code, live
We get into the fundamentals hands-on. Tab first: you learn to read its multi-line suggestions, accept or reject them, and guide it instead of putting up with it. Then codebase-aware chat (Cmd+L): ask a question about your repo, understand an inherited function, generate a chunk of code with the right context. We work on your files, not a dummy example. By the end, you already code faster on your day-to-day tasks.
- Step 3 · Composer on real code
Multi-file changes and Agent mode on your cases
We move on to Composer and Agent mode (Cmd+I). We frame a real task on your repo: add a feature that touches several files, refactor a module, wire up an API. The Agent edits, runs terminal commands and loops until it works. The key thing we teach: read the diff before you accept, and take back the wheel when it goes sideways. You finish with a feature shipped on your project, not a demo.
- Step 4 · Rules and workflow
We write your .cursorrules and dial in your workflow
This is where Cursor truly becomes yours. We write your project rules (.cursorrules) so the AI respects your conventions, your stack and your style, instead of spitting out generic code. We set up @-mentions (@Files, @Folders, @Docs) to point at the right context, index your docs, and talk through big codebases (where it struggles, how to frame). We also pick the right models per task and look at privacy mode if your code is sensitive.
- Step 5 · Autonomy
You code fast in Cursor without us
The number one goal: you become autonomous. By the end of the program, you know how to steer Tab, run Composer across files, give the AI the right context, write your rules and read every diff before you merge. You no longer need an agency to code fast and clean. And if you want to delegate dev later, we also run an agency, but that's not the point here.
Why train 1-on-1 with us.
- 300+Pros already trained on AI and code
More than 300 people have gone through our trainings across France and Europe. Devs, startup founders, product teams. Not vanity numbers: people who now code faster in Cursor and review what the AI produces, instead of accepting it blind.
- 4.7/5Rating across 334 verified reviews
Average rating of 4.7 out of 5, across 334 reviews. We won't promise the AI writes everything: you still have to understand your project and read the diffs. But the 1-on-1 format makes the difference in going from a YouTube tutorial to real speed on your codebase.
- 1:1A dedicated expert, not a class of 100
You're not a number in a webinar. A trainer opens Cursor on your real project, looks at your code, and works through your actual cases. We schedule sessions around your availability, replays included.
A working agency, recognized by the French State.
Hack'celeration is certified Activateur France Numérique and holds the AI Ambassador title, both granted by France Num to organizations that genuinely drive the digital transformation of companies. On the ground, we build in Cursor for real clients every week: more than 300 pros trained and a 4.7/5 rating across 334 verified reviews, left by the people who took our programs, not just by the buyer.
- Certified Activateur France Numérique
- AI Ambassador (France Num)
- 300+ pros trained across France and Europe
- 4.7/5 across 334 verified reviews
The questions we get the most.
What is a 1-on-1 Cursor training?
An individual program with an expert who codes in Cursor every day, not a class of 100 people. We open your real project, look at your code, and work through your actual cases: Tab, Composer, Agent, codebase context, rules. You ask your questions live, the trainer adapts the pace to your level. We schedule sessions around your availability, and you leave with concrete actions every time. That's the difference between watching a tutorial and actually knowing how to code fast on your codebase.How much does the Cursor training cost?
There is no single price. We connect you with a trainer certified by Hack'celeration, matched to your need and your level. It varies from one trainer to another, based on their profile and the format that fits your project.Cursor, Copilot or Claude Code: which one to pick?
It depends on your usage. Cursor is a full IDE (a VS Code fork) with Tab, codebase-aware chat and Composer for multi-file work: it shines when you want to do everything in one editor. GitHub Copilot is a lighter extension, mostly strong on autocomplete, and slots into your existing VS Code. Claude Code is a terminal agent, excellent for long, scripted tasks without leaving the command line. During the training, we help you decide based on your real case, and plenty of devs end up combining Cursor with a terminal agent.Do I need to know how to code to take the Cursor training?
No, not necessarily, but it's more comfortable. Cursor lets a non-developer produce code in plain language, and we also coach founders who are starting out. The real skill is reading, reviewing and fixing what the AI generates, because it still gets things wrong. The 1-on-1 format starts from your exact level: beginner, we go step by step through the basics; seasoned dev, we jump straight to Composer, rules and workflow optimization.Which AI models run in Cursor?
Cursor lets you pick the model per task: the Claude models (very strong on code), the GPT models, Gemini, and its own fast model for Tab. You can switch models in the chat depending on whether you want speed or deeper reasoning. We teach you which to reach for when (fast autocomplete doesn't need the heaviest model) and how it affects your speed and usage. Models change fast, so we mostly show you the logic of choosing, not a frozen list.Does Cursor work on a big codebase?
Yes, and it's one of its strengths: it indexes your repo and answers across the whole project, not just the open file. On a very large codebase, the challenge is framing the context with @-mentions (@Files, @Folders) so you don't drown the AI, and writing clear rules. That's exactly what we work on 1-on-1, on your real repo: where it starts to struggle, how to break down a task, and when to go back to a more manual approach. Honestly, the bigger the project, the more context takes method.What are Composer and Agent mode in Cursor?
Composer (Cmd+I) edits several files at once from a single request, instead of making you copy-paste from a chat. Agent mode goes further: it can run terminal commands, create files and loop on its own until things compile. It's the core of Cursor's speed on real features. The trap is accepting its changes without reading the diff. We teach you to frame the request, review every change and take back the wheel at the right moment, on your own code.Is Cursor safe for confidential code?
Cursor offers a Privacy mode: with it, your code isn't stored server-side after processing, which reassures teams with proprietary or NDA-bound code. By default, chunks of code pass through the models to generate answers, like any AI assistant. If your company has strict constraints, we look at the config together (Privacy mode, what gets indexed, what stays local) during the training. The simple rule we give you: never send secrets or keys in a prompt, whatever the tool.What are .cursorrules for?
Project rules (.cursorrules, or Project Rules in recent versions) tell the AI how to behave on your repo: your framework, your naming conventions, your style, the libs to use or avoid. Without them, Cursor spits out generic code that doesn't look like yours and that you spend time fixing. With them, suggestions match your project on the first try. We write your rules together during the training, from your real codebase, because it's one of the biggest levers on quality.Is the training online or in person?
100% online, over video, 1-on-1. You join the sessions from anywhere, we share your screen and your project in Cursor live. Sessions are recorded if you want to revisit them. The individual format means real interaction: you're not a number in a webinar of 100, the trainer answers your questions about your code and your stack. That's what makes learning concrete on a tool you mostly learn by doing.
Your code deserves to move faster. Meet your trainer.
Drop your email. An expert who codes in Cursor daily looks at your project and shows you how to ship faster, without piling up technical debt. No commitment, even if you don't take the training.