For forty years, the developer's tool has been the IDE: an Integrated Development Environment. A supercharged text editor — completion, debugger, refactoring, Git integration. Its founding assumption never moved: you type the code, and the tool makes that typing more comfortable.
A new category is emerging, and it breaks that assumption: the ADE, or Agentic Development Environment. Its bet: make the workflow, not the editor, the center of the product. The editor becomes one panel among many — an escape hatch for manual edits, no longer the place you live in.
The real shift: the unit of work
The difference between an IDE and an ADE isn't about features. It comes down to a single question: what is the unit of work?
In an IDE, the unit of work is the file — or even the selection you're editing right now. You open a file, type, save, commit. Work is "done" when the file is saved.
In an ADE, the unit of work is the task, shipped as a branch and a pull request. You describe an intent; an agent executes it; work is "done" when the PR is reviewed and merged. You're no longer the author who types, you're the reviewer who arbitrates.
Vibe Coder: how do you turn an idea into verified code?
Vibe coding, in its strict sense, means building software by prompting an AI without reviewing its generated code. A Vibe Coder is someone using that approach, not a provider name. The term is also used more broadly for AI-assisted development; here we distinguish exploratory prototypes from code that is tested and understood. Simon Willison explains this distinction in his March 19, 2025 article.
Mistral Vibe is a separate tool: a command-line agent started inside a project with vibe. Its name does not define the practice or a developer profile. See the official Mistral CLI documentation and our AI provider guide for configuration.
What do you need before starting?
Prepare a small Git repository whose application and tests you can run, an installed development environment and a configured AI provider. Learn to read a Git diff and return to a known commit. Use fictional data and a local project with no financial stakes for your first experiment. The getting started tutorial covers project setup and launching your first agent.
A ticket → tests → Git review workflow
- Ticket. Turn “improve my form” into “reject an empty name, show a message and accept a non-empty name”. Set the scope: no new service or publication.
- Tests. Request cases for empty, whitespace-only and valid input. Run the repository’s test command and try the form; inspect the output rather than relying on the agent’s summary.
- Git review. Inspect every changed file and diff, look for unrelated changes and explain the added validation. If you cannot understand it, ask an experienced person to review before integration. With auto-merge disabled, review precedes integration; the orchestration guide explains that lifecycle.
Green tests do not prove that code is safe or complete. Beginners may miss vulnerabilities, API costs or data loss. Start with a disposable prototype; authentication, payments or personal data need competent review. Worktrees isolate files, not every side effect of commands. This workflow adds verification to prototyping: it is reviewed AI-assisted development rather than strict vibe coding. The editorial intent is to guide that transition; no search volume or visibility gain is measured here.
Section and sources checked on October 11, 2026.
Classic IDE vs ADE: the table
The shift boils down to six questions. Here's how each approach answers them:
| Question | Classic IDE | ADE |
|---|---|---|
| Unit of work | An edit, a selection inside a file | A task shipped as a branch + pull request |
| Your role | Author actively typing | Reviewer overseeing several agents |
| Planning | Implicit, in your head | Written spec, approved before coding |
| Concurrency | One developer, one context at a time | Several agents on separate Git branches |
| Center of the workspace | The file open in the editor | The kanban board and the workflow |
| Work completed | A saved file | A reviewed and merged pull request |
An ADE's two hard guarantees
An AI chat bolted onto an editor is not an ADE. What earns an environment the name are two structural guarantees, not two cosmetic features:
- Git isolation. Each agent works on its own branch, in its own space. Without it, the moment two agents run at once, nobody can tell "whose changes are in the working tree, which task touched which file." Isolation isn't a comfort, it's what makes parallelism possible.
- Spec gating. No code gets written until the plan is approved. The agent restates what it understood, you validate the contract, then it opens a branch. That's what stops the AI from sprinting fast in the wrong direction.
These two guarantees are why an ADE isn't "an IDE with a chat." A chat is linear and stateless; a project is tree-shaped and concurrent. A new shape was needed.
Why now?
Because the bottleneck moved. Five years ago, a developer's limit was typing speed and the ability to navigate a large codebase — hence an IDE optimized for typing and navigating fast. Today, an AI agent writes code faster than you can review it. The limit is no longer typing: it's your ability to describe clearly and to arbitrate a lot of work in parallel. The tool had to follow that shift.
How Singularity differentiates
Singularity is the ADE we build at Meteor Factory. It takes the two guarantees above and follows the logic all the way. Here's what concretely sets it apart.
1. A kanban, not a chat
Singularity's main surface is neither an editor nor a chat window: it's a kanban. One card = one intent. One column = one state of the world (To do, In progress, Pending review, Failed, Done). An "In progress" column holding fifteen cards isn't a degraded mode — it's the normal one. The ticket carries its own context, spec, execution log and long-term memory. A chat forgets between sessions; a ticket doesn't.
2. One Git worktree per ticket
Every ticket runs in its own Git worktree: an isolated copy of the repo, on its own branch. Fifteen tickets, fifteen worktrees, fifteen branches, zero state conflict during execution. At the end, each ticket is rebased onto the base branch before reintegration — and if the base moved while an agent worked, we replay the tests on the rebased version. It's the only way to keep two tickets that pass in isolation from producing a broken integration.
3. Non-bypassable test hooks
When AI produces code at scale, the safety nets must be automatic. In Singularity, the Git hooks — lint, format, typecheck, tests — run at pre-commit and are never bypassable. No --no-verify, ever. If a hook fails, the commit fails, the agent diagnoses, fixes, retries. The hook isn't a suggestion, it's the contract with the branch.
4. Dependencies between tickets
A real project isn't a flat list of independent tasks. Singularity can express that "a ticket is blocked by another," that a parent decomposes into children, and orchestrates the execution order accordingly. That's exactly what a linear chat cannot do.
5. Native and privacy-first
Singularity is a native macOS, Windows and Linux client, not a browser tab. Code, tickets and orchestration live locally on your machine. You keep a native editor and terminal as an escape hatch — stepping in by hand is always possible, it simply becomes optional.
6. It builds itself
The best proof an ADE holds up is that it's used to build itself. Singularity is developed with Singularity, in production, every day, on a real project with real users. The honest measured speed-up is around 50× on work previously done by hand. And the remaining limit is no longer technical: it's the quality of the specs. The one thing that stays 100% human.
FAQ
What is the difference between an IDE and an ADE?
An IDE puts the file editor at the center: you're the author typing the code, the AI suggests. An ADE puts the workflow at the center: you describe a task, AI agents ship it as branches and pull requests, and you become the reviewer who arbitrates. The unit of work shifts from the file to the ticket.
Does an ADE replace an IDE?
No, it absorbs it. An ADE like Singularity ships a native editor and terminal as an escape hatch, but they're no longer the primary surfaces. Most of the time you live in the kanban, not the editor.
How can several agents code in parallel without stepping on each other?
Each task runs in its own Git worktree — an isolated copy of the repo on its own branch. Ten tasks, ten worktrees, ten branches. No state conflict during execution; reintegration happens by rebase, one task after another.
How does Singularity differ from other ADEs?
Singularity is a kanban-based ADE, native to macOS/Windows/Linux, with a Git worktree per ticket, non-bypassable test hooks, multi-agent orchestration with dependencies between tickets, and a privacy-first, local-first design. It builds itself: Singularity is made with Singularity.
Going further
If you want the concrete field report on this way of working, read "An ADE built on the kanban: how I write tickets while the AI codes." For the product philosophy behind it all, there's the manifesto.