The best new AI coding agents and IDEs for letting the agent build it
The newest AI coding agents have crossed a line: instead of autocompleting the next token, they take a ticket, write the code, run it, and open a pull request. This roundup covers the AI coding agents and agentic IDEs shipping right now that actually write and run code for you — the editors with agents baked in, the autonomous coding agents that work in the background, and the shared workspaces where you coordinate humans and a fleet of agents at once. If your pain point is "I just want to describe the change and let the agent build it," these are the tools built for exactly that, not for reviewing or shipping someone else’s diff.
We left out code-review bots, QA assistants, and CI/CD plumbing on purpose. Everything below is in the business of producing working code from intent — ranked roughly by momentum, from agent-orchestration desktops to browser-based IDEs you can open in a tab.
Emdash
Emdash is an open-source Agentic Development Environment — a desktop app that runs multiple coding agents in parallel, each isolated in its own git worktree, across local and remote SSH machines.
It’s provider-agnostic, orchestrating 22+ CLI agents (Claude Code, Qwen Code, Amp, and more) so you can fan a backlog out to several agents at once. You pass tickets straight from Linear, GitHub, or Jira, then review diffs, run tests, open PRs, and watch CI — all from one window.
Why it matters for "let the agent build it": worktree isolation is the unlock for parallelism. Instead of one agent stepping on another in the same checkout, every agent gets a clean branch, so you can safely have five tasks in flight and merge the ones that pass. Take: the most direct answer if you want to run a swarm of agents without renting cloud infrastructure.
Kilo Code
Kilo Code is an open-source AI coding agent platform with 3M+ users, plugging into VS Code, JetBrains, the CLI, and Slack, with access to 500+ models at provider rates and zero markup.
It ships specialized agent modes — coding, architecture, debugging, code review — plus full bring-your-own-key support, so you point it at whatever model is best (and cheapest) for the task. Beyond the editor, it adds KiloClaw for hosted agents you can stand up in under a minute, a unified Kilo Gateway inference API, and enterprise basics like SSO and audit logs.
Why it matters: most agents lock you into one model and one surface. Kilo Code is the opposite — model-agnostic, surface-agnostic, and open source. Take: the safe default for teams that want an autonomous agent without betting on a single vendor’s roadmap or pricing.
Zed
Zed is a high-performance, AI-native code editor written in Rust, engineered for speed, real-time collaboration, and parallel agentic coding.
It uses multiple CPU cores and GPU acceleration to stay near-instant even on large repos, then layers in built-in agents with parallel support, inline AI, and MCP server integration. Real-time multiplayer means humans and agents can work the same file together, and prompts are never stored or used for training unless you opt in.
Why it matters: a lot of "agentic IDEs" are Electron wrappers that feel sluggish the moment the agent starts working. Zed’s whole bet is that the editor itself should be fast enough to keep up with the agent. Take: the pick for developers who refuse to trade editor performance for AI features.
Windsurf
Windsurf is an AI-powered code editor from Cognition AI, built around Cascade — a deep, codebase-aware agent — and Devin, an autonomous cloud agent you can hand entire tasks to.
Cascade tracks your file edits, terminal commands, and conversation history to stay in flow, while Devin runs debugging, testing, and deployment work in the cloud as you keep coding locally. An Agent Command Center manages multiple tasks, and the editor reports AI writing up to 94% of code per session across 1M+ users and 4,000+ enterprise customers.
Why it matters: Windsurf is the clearest example of the "local agent + cloud agent" split — fast inline help where you are, plus a delegated agent grinding on the slow stuff. Take: strong for teams that want a polished editor and a background agent under one roof.
Factory
Factory is an agent-native software development platform whose AI "Droids" take on complete engineering tasks — refactors, migrations, incident response, and more — across whatever tools you already use.
Droids integrate natively with IDEs (VS Code, JetBrains, Vim), terminals, Slack, and project managers, so you don’t have to migrate your stack to adopt them. The company comes with serious backing — a $150M Series C at a $1.5B valuation from Khosla, Sequoia, and Blackstone — plus enterprise security (SOC 2, GDPR, ISO 42001).
Why it matters: Factory targets the unglamorous, high-value work — big migrations and 3am incidents — where letting the agent build it actually moves the needle. Take: the enterprise choice when the tasks are large and the compliance bar is high.
Cosine
Cosine is an AI software engineering agent that autonomously plans solutions, writes code, and executes tasks across CLI, a native macOS desktop app, a VS Code extension, and cloud agents.
Its pitch is maintainability and control: the agent shows you exactly what it’s doing at every step, aims to reduce low-quality "slop," and supports parallel work across a team. Deployment ranges from local all the way to air-gapped environments for security-sensitive shops.
Why it matters: autonomy without visibility is how you end up with a codebase no one understands. Cosine’s differentiator is transparency — watch the agent reason and intervene before it commits. Take: the right fit when you want autonomy but refuse to give up oversight.
Vokal
Vokal is a shared workspace where software teams coordinate humans and AI agents through named identities, live run streaming, and persistent memory.
Agents — Claude Code, Codex, OpenCode, and any MCP-compatible agent — are published as named workspace members with scoped permissions and team-visible execution. Runs stream live in shared channels, so teammates can review, approve, redirect, or stop an agent mid-flight, and the workspace accumulates memory so future agents start with past decisions and corrections instead of a blank slate.
Why it matters: once you have more than one agent, the bottleneck shifts from writing code to coordinating who’s doing what. Vokal treats agents as first-class teammates rather than throwaway sessions. Take: the layer to reach for when you’re running multiple agents and need shared context and control.
OpenGravity
OpenGravity is a zero-install, browser-based agentic IDE with a live terminal, local filesystem sync, and a bring-your-own-key Gemini agent for autonomous coding.
Built in pure HTML/CSS/JS and inspired by Google’s Antigravity UI, it runs a real Linux-like environment in the tab via WebContainer and xterm.js. The proactive agent can run shell commands, edit files, install dependencies, and orchestrate whole tasks — and because you supply your own Gemini key (stored only in localStorage), nothing leaves your browser.
Why it matters: it strips the agentic IDE down to a single browser tab with no setup, which makes "let the agent build it" something you can try in seconds. Take: the lightweight, privacy-first way to experiment with an autonomous agent before committing to a heavier tool.
Frequently asked questions
What is the difference between an AI coding agent and an agentic IDE?
An AI coding agent is the autonomous worker — it takes a task, writes and runs code, and reports back, often in the background or the cloud. An agentic IDE is a code editor with one or more of those agents built in, so you can direct, watch, and intervene from the same window where you write code. Tools like Windsurf and Zed are agentic IDEs; Factory’s Droids and Cosine’s agent are coding agents you can run across surfaces.
Which AI coding agent is best for running multiple agents in parallel?
For parallel work, look for git worktree isolation or a shared coordination layer. Emdash runs many CLI agents at once, each in its own isolated worktree, while Vokal gives a whole team a shared workspace to coordinate humans and multiple agents with live streaming and shared memory. Zed and Windsurf also support multiple concurrent agent tasks inside the editor.
Are there open-source AI coding agents?
Yes. Kilo Code is an open-source agent platform with 3M+ users and bring-your-own-key access to 500+ models, Emdash is an open-source agentic development environment, Zed is an open-source editor with built-in agents, and OpenGravity is an open-source browser-based agentic IDE. Open source plus BYOK also lets you control which model and provider the agent uses.
Can AI coding agents work without installing anything?
Some can. OpenGravity runs entirely in the browser with no install — it spins up a real Linux-like environment via WebContainer and an xterm.js terminal, and you bring your own Gemini API key. Other agents like Windsurf’s Devin and Factory’s Droids run in the cloud, so the heavy work happens off your machine even though you start from a local editor.
How much control do I have over what an autonomous coding agent does?
It varies by tool, and control is a real differentiator. Cosine emphasizes showing exactly what the agent is doing at each step so you can intervene before it commits, and Vokal lets teammates approve, redirect, or stop a run mid-flight. If oversight matters — for compliance or just trust — prioritize agents that stream their work and support deployment options down to air-gapped environments.
Choosing your AI coding agent
The center of gravity in developer tooling has shifted from autocomplete to autonomy. The right pick depends on how much you want to hand off and how much oversight you need: reach for Zed or Windsurf if you want a fast editor with an agent inside, Emdash or Vokal if you’re orchestrating several agents at once, Factory or Cosine if the work is large and control is non-negotiable, Kilo Code if you want open-source and model freedom, and OpenGravity if you just want to try an agentic IDE in a browser tab. Whichever you choose, the bar is now the same: describe the change, and let the agent build it.