what each one isAI Assistant helps you code. Junie codes for you. Neither ships for you.
JetBrains drew the line clearly themselves: AI Assistant is the everyday helper — context-aware completion, an AI chat, explain-this-error, generate-a-test, refactor a single file, with a choice of models (Claude, GPT, Gemini, local Ollama). Junie, launched in 2026 as JetBrains' answer to Cursor and Copilot Agent, raises the autonomy: it plans, edits across files, runs tests, fixes its own compile errors. The difference between them is how much you delegate. But the difference that matters for a team is the one neither crosses: when Junie finishes, the result is still uncommitted code in a developer's IDE. Someone still has to review it, trust it, and be the gate before production. The autonomy ends exactly where the risk begins.
- AI Assistant: chat, completion, refactor-a-file, write-a-test — a faster developer.
- Junie: multi-step agent that edits files and runs tests — a delegated developer.
- Both terminate at 'code in an editor', not 'verified change in production'.
why this is the riskVibe coding is exploding — and in a company, it's a mess waiting to happen.
Generating software by describing it to an AI is now normal. Inside a single IDE, with one developer driving Junie, that's productive. Scaled across a company, with people who can't read a diff shipping features they don't understand, it becomes the defining risk of this era: code nobody reviewed, security holes nobody saw, abstractions nobody chose, 'why is the build red' with no one who knows. An IDE assistant — however good — accelerates output. It does not govern it. Faster generation with no structure behind it doesn't reduce the mess; it manufactures it at speed.
- More AI output, same number of humans who can actually vet it.
- An assistant optimizes typing; the bottleneck moved to trust and review.
- 'Brave mode' and autonomy without gates is exactly how unmaintainable software is born.
the methodThe Digital Native Method: intent in, verified result out.
The way out isn't a better autocomplete. It's a method. A Product Owner describes the intention directly on the live product — this is broken, this should feel faster, add this. A Tech Lead encodes the company's rules once: architecture, conventions, security, the maintainability bar. AI agents implement inside those rules. Then a structure verifies everything — lint, types, tests, security — deterministically, before a single line reaches production, through your own GitHub. An IDE keeps a developer at the center as the safety net. This method removes the developer-as-bottleneck and replaces them with a structure that checks every change, every time, instead of a human checking some changes sometimes.
- Intent is expressed on the product, not as a ticket full of specs.
- Rules are encoded once by a Tech Lead, not re-explained per prompt.
- Gates run before prod; green or it doesn't land.
the softwareAgentation is the software that makes the method real.
A method is just a slide deck without the tooling to enforce it. Agentation is that tooling. You point at your running product and describe the outcome. A Tech Lead agent boots every worker inside your encoded standards. Workers implement in isolated git worktrees, and deterministic gates — lint, types, tests, security scan — run before anything is proposed for review. Nothing merges that hasn't passed. Everything flows through your existing GitHub and your existing AI plan. So 'I never read the code' doesn't mean nobody did — it means a structure did, on every change, where JetBrains' tools leave that job to whoever happens to be at the keyboard.
- Describe the result on the live product — agents handle the implementation.
- Gates verify before review; workers can't ship outside the encoded rules.
- Runs on your GitHub and your AI subscription — we never see your code.
cocoricoFrench software, EU sovereignty — over the tools, where it counts.
Agentation is built by a French team. We're honest about sovereignty: nobody in Europe is sovereign over the frontier models — Claude, GPT, Gemini are American. But with raw models alone you don't build much; the leverage is in the structure that orchestrates them, governs them and decides what reaches production. That layer can be European, and ours is: hosted in the EU (Hetzner, Germany), data in the EU (Supabase), your code staying in your own GitHub, GDPR by design. You get agentic development that ships — without handing the orchestration of your codebase to a tool you don't control.
- Models stay American; the orchestration layer is French and EU-hosted.
- EU infrastructure (Hetzner) and EU data (Supabase), GDPR by design.
- Your code never leaves your GitHub — sovereignty where it's actually decided.
FAQWhat's the difference between JetBrains AI Assistant and Junie?
AI Assistant is the in-IDE helper: chat, code completion, single-file refactors, test and doc generation across multiple models. Junie is JetBrains' autonomous agent — it plans, edits across files, runs tests and fixes its own errors. AI Assistant supports a developer; Junie lets a developer delegate. Both still finish with code in an IDE that someone has to review before it ships.
Is JetBrains Junie enough for a company, or do I need an agentic platform?
Junie is excellent for an individual developer working in their IDE. It's not a shipping structure: it doesn't encode your company's rules once for every contributor, and it doesn't run deterministic gates before production — that's left to a human reviewer. For a team where non-engineers also ship, you need a structure that verifies every change, which is what agentic platforms like Agentation provide on top of (not instead of) the models.
How is Agentation different from using AI agents inside JetBrains?
In JetBrains, the IDE and a developer are the center: the agent hands you code, you review and merge it. Agentation inverts that. You describe outcomes on the live product, a Tech Lead encodes the rules once, agents implement inside them, and lint/type/test/security gates verify before anything reaches your GitHub. The developer stops being the bottleneck and the safety net; the structure is.
Do I need to be a developer to use this?
No. JetBrains tools assume you live in an IDE. Agentation is for whoever owns the product — founders, PMs, designers, operators. You describe what good looks like on the running product; the structure handles the implementation and the verification. The point is to keep your attention on the result, not on parsing a diff.
Where does my code and data go?
Your code stays in your own GitHub and runs on your existing AI plan — we never see it. Agentation's own infrastructure is hosted in the EU (Hetzner, Germany) with data in the EU (Supabase), GDPR by design. You're not sovereign over the underlying models, but you are over the tool that orchestrates them and decides what ships.