Picking from the best AI coding assistants used to be an individual choice: a developer installed an autocomplete plugin and paid for it on a personal card. In 2027 it is a team decision. Assistants now run as IDE agents, terminal agents and cloud agents that open pull requests on their own, so engineering leaders have to think about seat pricing, usage pools, SSO, data retention and which repositories an agent is allowed to touch.
This list is written for that buyer. Rather than ranking editors by how pleasant they feel, we looked at where each assistant runs, how it is billed for a team, and what admin controls come with it, using each vendor’s own pricing pages and docs as of November 2026. If you are specifically trying to replace Cursor as an editor, our best Cursor alternatives roundup goes deeper on that question.
The market changed a lot in 2026, and several familiar names are gone or renamed. SpaceX completed its acquisition of Cursor on 14 August 2026. Cognition renamed Windsurf to Devin Desktop in June 2026. AWS blocked new Amazon Q Developer signups in May 2026 and points customers to Kiro, and Google stopped selling new Gemini Code Assist Standard and Enterprise subscriptions in October 2026 in favor of Antigravity. Harness bought Augment Code’s Cosmos, Auggie CLI and Context Engine assets in October 2026, so we left Augment off this list until its product direction settles.
Best AI Coding Assistants At A Glance
Company
Based In
Best For
Known For
GitHub Copilot
San Francisco, USA
Organizations standardized on GitHub
IDE chat, agent mode and a cloud agent that opens PRs
Cursor
San Francisco, USA
Teams that want an AI-first editor
Agentic VS Code fork with team privacy controls
Claude Code
San Francisco, USA
Teams that want one agent across terminal, IDE, desktop and web
Terminal-native agent with subagents, hooks and MCP
OpenAI Codex
San Francisco, USA
Teams already on ChatGPT Business or Enterprise
Open source CLI plus cloud tasks and code review
Devin
San Francisco, USA
Teams delegating whole tasks to autonomous agents
Devin Desktop (formerly Windsurf) plus Devin Cloud
JetBrains AI and Junie
Amsterdam, Netherlands
Teams living in IntelliJ, PyCharm and other JetBrains IDEs
Junie agent with bring-your-own-key model choice
Google Antigravity
Mountain View, USA
Google Cloud customers
Multi-agent desktop app, CLI and SDK
Kiro
Seattle, USA
AWS teams that want structured, spec-first work
Spec-driven development with hooks and steering files
Tabnine
Tel Aviv, Israel
Regulated teams that need on-prem or air-gapped AI
Private deployment and a governed context engine
Cline
San Francisco, USA
Teams that want open source and their own model keys
Apache 2.0 agent with plan and act modes
Best AI Coding Assistants For 2027
1. GitHub Copilot — Default Choice For Organizations Standardized On GitHub
Copilot’s advantage for teams is that it lives where the code already lives. Developers get inline suggestions, chat and agent mode in their IDE, plus a CLI and desktop app, and on paid plans they can assign an issue to Copilot in the cloud and get a pull request back. Copilot code review works on the same PRs, and Pro+ users can also delegate tasks to third-party coding agents such as Claude and OpenAI Codex (in preview).
For organizations, Copilot Business is $19 per seat per month with 1,900 GitHub AI Credits per user, and Copilot Enterprise is $39 with 3,900 credits, pooled across the organization. Code completions and next edit suggestions do not use credits, while agent mode, code review and cloud tasks do. Admins control whether usage beyond the pool is allowed and set policies centrally.
The trade-off is that the deepest features assume GitHub. Teams on GitLab or Bitbucket get the IDE assistant but lose the PR and cloud agent workflow that makes Copilot compelling.
2. Cursor — AI-First Editor With Team-Wide Privacy Mode And SSO
Cursor is a fork of VS Code built around AI agents, with tab completion, chat, background agents and AI code review in one editor. It became a wholly owned subsidiary of SpaceX when the acquisition closed in August 2026, and its pricing now reflects that. Individual plans run from Plus at $8 a month (Grok models only) to Premium at $30, which adds cloud agents, AI code reviews and third-party models billed at API list price, up to Ultra at $200.
The Teams plan starts at $30 per user per month and adds centralized billing, usage analytics, team-wide privacy settings, SAML and OIDC SSO, and mixed seat types. Enterprise adds SCIM, granular spend limits, audit logs and controls over which repositories, models and MCP servers people can use. With privacy mode on, Cursor says code data is not used for training.
Before rolling it out, check how your team will pay for non-Grok models, since third-party usage is billed separately from the plan. For a head-to-head on workflow, see our Claude Code vs Cursor comparison.
3. Claude Code — One Agent Across Terminal, IDE, Desktop And Web
Claude Code is Anthropic’s agentic coding tool. It reads the codebase, edits files, runs commands and opens pull requests, and it runs as a terminal CLI, VS Code and JetBrains extensions, a desktop app and on the web. Every surface shares the same engine, so a repo’s CLAUDE.md instructions, settings and MCP servers carry across all of them.
For teams, the useful parts are the shared conventions. CLAUDE.md files hold coding standards, skills package repeatable workflows like a PR review checklist, and hooks run commands before or after the agent acts, such as linting before a commit. Subagents split large tasks, GitHub Actions and GitLab CI/CD integrations automate review and triage, and an @Claude mention in Slack can turn a bug report into a pull request.
Claude Code is included in Claude Pro, Max, Team and Enterprise. Team seats are $20 (Standard) or $100 (Premium) per seat per month billed annually, and Enterprise is $20 per seat with usage at API rates and a 20-seat minimum. It works best for teams comfortable letting an agent run commands in a terminal, with permissions configured up front.
4. OpenAI Codex — Open Source Terminal Agent Bundled With ChatGPT Plans
Codex is OpenAI’s coding agent. The CLI is open source under Apache 2.0 and runs locally in the terminal, and the same agent is available in an IDE extension, a desktop app, on the web and as cloud tasks. Developers sign in with their ChatGPT account, so for many companies it is already paid for.
Codex comes with ChatGPT plans. Plus at $20 a month adds Codex on the web, CLI, IDE extension and cloud integrations such as automatic code review and Slack. Business is $20 per user per month billed annually with SAML SSO and no training on business data by default, and Enterprise adds SCIM, RBAC, audit logs and data residency controls. Usage limits are shared with ChatGPT, and workspaces can buy extra credits.
The catch for teams is that limits depend on model, task size and whether work runs locally or in the cloud, which makes heavy usage harder to forecast. Using Codex with an API key instead of a ChatGPT login drops the cloud features.
Cognition sells Devin, an autonomous software engineering agent, and since June 2026 the Windsurf editor it acquired has been renamed Devin Desktop. The editor is now positioned as a desktop app for managing Devin agents as well as writing code. Its original Cascade agent reached end of life on 1 July 2026.
The appeal is delegation. Pro and higher plans include Devin Cloud, where agents work on tasks in the background, alongside unlimited tab completions and inline edits. Pro is $20 a month and Max $200. Teams costs $80 a month for the plan plus $40 per full developer seat, supports up to 200 users and adds an admin dashboard with analytics and centralized billing.
Devin fits teams with a backlog of well-scoped tickets they want handed off whole. Teams that came from Windsurf should budget time to retrain habits around the new agent.
6. JetBrains AI and Junie — Coding Agent Built For JetBrains IDEs With Bring-Your-Own-Key
JetBrains, headquartered in Amsterdam, offers AI Assistant and its Junie coding agent across IntelliJ IDEA, PyCharm, WebStorm and the rest of its IDEs. Junie uses the IDE’s code intelligence, runs as Junie Local inside the IDE or as Junie CLI in the terminal, and can be triggered from GitHub and GitLab issues and pull requests.
Its team-friendly features include Plan Mode, which writes requirements and design plans into a `.junie/plans` folder before changing code, human-in-the-loop approvals with an allowlist, and shared guidelines and skills that persist across sessions. It supports more than 10 models through bring-your-own-key at provider rates with no markup, including local models.
Pricing as listed in November 2026 is a free tier with Junie Lite, AI Pro at $8.33 per user per month and AI Ultimate at $25 with more credits. It is the natural pick for JetBrains shops. Teams on VS Code will get more from other tools on this list.
Antigravity is now Google’s main AI coding product. Version 2.0, announced at Google I/O in May 2026, is a desktop app built around running several agents at once with custom subagent workflows and scheduled background tasks, plus a Go-based Antigravity CLI that replaced Gemini CLI and an SDK for building custom agents. It connects natively to Google AI Studio, Firebase and Android.
For businesses, Google stopped selling new Gemini Code Assist Standard and Enterprise subscriptions on 9 October 2026 and points new customers to Antigravity through eligible Gemini Enterprise subscriptions, with VS Code extensions, usage tracking and spending limits for admins. Existing Code Assist customers stay supported until their contracts end.
Antigravity makes the most sense for teams already on Google Cloud. Google has not published a pricing comparison between Code Assist and Gemini Enterprise, so get a quote before migrating.
8. Kiro — Spec-Driven Agent From AWS That Plans Before It Codes
Kiro is AWS’s agentic development tool and the replacement for Amazon Q Developer, which stopped taking new signups on 15 May 2026 and reaches end of support for IDE plugins and paid subscriptions on 30 April 2027. Kiro runs as an IDE (with Open VSX extensions and VS Code settings), a CLI that can run headless in CI to review PRs, a web interface and a mobile app.
Its distinguishing idea is spec-driven development. Kiro turns a prompt into requirements, an architecture design and sequenced tasks before writing code, checks the requirements for gaps, and runs property-based tests. Hooks run background tasks when code changes, and steering files carry project context across every surface. It supports AGENTS.md, MCP and models from Anthropic and OpenAI.
Plans run from free (50 credits) to Pro at $20, Pro+ at $40, Pro Max at $100 and Power at $200 per user per month. Enterprise adds IAM and SSO authentication, usage dashboards and governance controls. The structured workflow suits teams that want reviewable plans, but it can feel slow for small fixes.
9. Tabnine — Private Deployment Including On-Prem And Air-Gapped
Tabnine, headquartered in Tel Aviv, is built for organizations that cannot send code to a shared cloud. It describes itself as a fully private, organization-aware coding agent that runs within your environment, and it offers SaaS, VPC, on-premises and air-gapped deployment.
Tabnine Agent handles coding tasks in the IDE or CLI, Tabnine Chat answers questions about your codebase, and admins manage the Context Engine, analytics, users and usage policies. Its agents can also implement Jira issues and check whether code, AI- or human-written, meets the issue’s requirements.
Tabnine is not the budget option, and self-hosted deployments add GPU infrastructure costs on top of seat fees. For defense, finance, healthcare and other regulated teams, the deployment flexibility is usually the deciding factor.
10. Cline — Open Source Agent With Plan And Act Modes And Your Own Keys
Cline is an Apache 2.0 open source coding agent with more than 70,000 GitHub stars. It runs as a VS Code extension, a CLI and a desktop app, with a JetBrains plugin available on Enterprise. In Plan mode it explores the codebase and proposes a strategy, and in Act mode it carries it out. By default every file edit and terminal command needs approval.
For individual developers the open source version is free, and you pay only for inference, either with your own keys from OpenAI, Anthropic, Google or others or through the Cline provider. MCP support connects it to databases, APIs and internal tools. Enterprise adds team management, SSO, an SLA and dedicated support.
Cline suits teams that want full control over models and cost, or that need to audit the agent’s source. The trade-off is that governance features beyond Enterprise are thin, and spend control depends on how you manage API keys.
How To Choose An AI Coding Assistant For Your Team
Where Does Your Team Actually Work?
Match the tool to your surfaces. JetBrains-heavy teams should start with Junie, GitHub-centric organizations with Copilot, and teams split across editors with a terminal agent such as Claude Code, Codex or Cline that works regardless of IDE.
Do You Need A Terminal Agent Or An Editor?
An AI editor like Cursor or Devin Desktop changes how developers write code day to day. A terminal agent plugs into existing editors and CI pipelines, which makes rollout easier for mixed teams. Many teams end up with one of each, so check that your instructions files (CLAUDE.md, AGENTS.md, steering files) can be shared.
What Admin Controls Are Non-Negotiable?
List your must-haves before demos: SAML SSO, SCIM, audit logs, data retention settings, repository and model allowlists, and spend caps. These usually sit on business or enterprise tiers, so the true per-seat price is often higher than the headline plan.
Can Your Code Leave Your Network?
If not, the shortlist is short. Tabnine offers on-prem and air-gapped deployment, Cline can run against self-hosted models, and Junie supports local models through bring-your-own-key. Most others are cloud services with enterprise data controls.
How Will You Forecast Usage?
Almost every vendor has moved to credits or usage pools on top of seats. Run a pilot with a representative group for a month, track actual consumption, and set organization caps before a full rollout. Our list of observability tools for AI coding agents covers ways to monitor what agents do once they are in production use.
Conclusion
The best AI coding assistants for 2027 are less about autocomplete quality and more about fit with how your team ships. Copilot and Codex are easiest when you already pay for GitHub or ChatGPT, Cursor and Devin suit teams ready to change editors, Claude Code and Cline work across any setup, Junie, Antigravity and Kiro follow their platforms, and Tabnine covers teams that must keep code in-house.
Shortlist two tools that match your platform and governance needs, pilot them on real tickets with spend caps in place, and decide on the evidence. Whichever you choose, pair it with review and security checks, as covered in our guide to vibe coding security risks.
