Cursor Alternatives for Teams Running More Than One AI Assistant

TL;DR:

• Cursor, now part of SpaceX, has been sold alongside Grok in The X Subscription since 12 October 2026, with plans from a free tier to a $200 Ultra plan. Grok model usage is included, and third-party models are billed separately at API list prices, per Cursor's pricing page.
• GitHub Copilot had 20 million users as of July 2025, per Microsoft's Q4 FY25 earnings call, and since 1 June 2026 it bills every plan through usage-based AI Credits, with Business at $19 and Enterprise at $39 per user per month.
• Windsurf was acquired by Cognition, maker of the Devin agent, in July 2025, after a planned $3 billion OpenAI deal fell through and Google hired its CEO and co-founder in a separate $2.4 billion licensing deal.
• Forge, Opsera's orchestration layer, is not an alternative to Cursor or to any tool here. It sits above whichever assistant and model a team picks, and Opsera has partnered with Cursor to bring it into the Cursor marketplace, so it adds policy checks, approval gates, and a customer-owned audit trail across the assistants a team keeps.

What Is Cursor?

A code-completion tool finishes the line you're typing. Cursor tries to finish the file, and increasingly, the feature, planning a change across several files, writing the code, running the tests, and iterating on failures with limited human review at each step. It shipped from a small team called Anysphere as a standalone, AI-native fork of VS Code, and built its early reputation on agentic multi-file editing that felt faster and more context-aware than bolting a chat panel onto an existing IDE.

Since then, it has grown quickly and changed hands. SpaceX completed its acquisition of Cursor in August 2026, and Cursor now sits alongside Grok in The X Subscription. Cursor's plans now run Free, Plus at $8 a month, Premium at $30, Super at $100, and Ultra at $200, with Teams from $30 per user and a custom Enterprise plan, per Cursor's pricing page. Paid plans include Grok model usage that refreshes weekly, while third-party models such as OpenAI's and Anthropic's are billed separately at API list prices on Premium and above.

Cursor has become central to day-to-day engineering work at a growing number of companies, and many of those teams now run it next to other assistants. Agentic workflows draw steadily on included usage, so teams often look at how Cursor fits alongside the rest of their stack, which is a large part of why "Cursor alternatives" searches have climbed this year.

Why Do Teams Run Cursor Alongside Other Assistants?

Three separate pressures are pushing teams toward running more than one assistant, not replacing the one they have. The first is cost planning: included usage covers Grok models, while OpenAI and Anthropic models are billed separately at API list prices, so teams that mix models often add a second assistant where a different model or billing setup fits the work better.

The second is organizational: different teams inside the same company often want different editors, and a mandate to standardize on one tool company-wide rarely survives contact with a JetBrains-loyal backend team or a terminal-first infrastructure group.

The third, and the one most comparison articles skip, is a governance gap that shows up only after a tool is already in production, since coding assistants are built to write code, not to track who approved an agentic change, what tests ran against it, or why it was allowed to ship.

1. Windsurf, Now Devin Desktop

Windsurf, formerly Codeium, built one of the most direct feature-for-feature matches for Cursor: a standalone, AI-native IDE centered on maintaining context across a whole codebase during agentic edits rather than just the open file. Its 2025 was dramatic by any standard in this category: a planned $3 billion OpenAI acquisition collapsed, and Google then struck a $2.4 billion licensing and talent deal that hired Windsurf's CEO Varun Mohan, co-founder Douglas Chen, and several R&D leads.

Cognition, the maker of the autonomous coding agent Devin, then acquired Windsurf's remaining IP, product, brand, and enterprise customer base of more than 350 companies, when Windsurf was running at $82 million in annual recurring revenue.

Windsurf's editor is now sold as Devin Desktop, with plans of Free, Pro at $20 a month, Max at $200 a month, Teams at $80 a month plus $40 per full developer seat, and a custom Enterprise tier, per Devin's pricing page. Paid plans include a usage allowance that refreshes daily and weekly, with extra usage billed at API pricing. The earlier prompt-credit plans no longer appear there, and because the product now sits inside Cognition's Devin line, the roadmap a team evaluates today may not be the one it gets a year from now.

Pros:

• Strong context retention across large, multi-file codebases, a strength from its Codeium years that carried through its sale to Cognition
• Now backed by Cognition's Devin research and engineering team, which could accelerate its autonomous agent capabilities faster than a standalone competitor could manage alone
• Credit-based pricing can reward lighter, more targeted usage patterns better than a flat per-seat fee

Cons:

• A 2025 sale to Cognition, plus its move onto Devin's plans and branding, means the roadmap a team buys into today may change, which matters for any multi-year commitment
• Another dedicated editor to standardize a team onto, with usage-based cost that still requires active monitoring to avoid surprises at scale

2. GitHub Copilot

GitHub Copilot remains the most widely deployed assistant in this category by sheer install base. Microsoft said on its Q4 FY25 earnings call in July 2025 that Copilot had 20 million users, a scale advantage that comes largely from living inside the GitHub workflow most enterprise teams already run rather than from a single dramatic capability leap.

On 1 June 2026, GitHub moved every Copilot plan to usage-based billing with GitHub AI Credits. Pro is $10 a month, Pro+ $39, Business $19 per user per month, and Enterprise $39 per user per month, and each plan includes that amount in monthly credits. Code completions stay included on paid plans; agentic actions, chat, and code review draw down the credits at each model's API rates.

Pros:

• Deep native integration with GitHub repos, pull requests, and Actions that no standalone competitor can fully replicate without leaving the GitHub ecosystem
• Enterprise tier includes organization-wide policy management and license administration out of the box, plus a commitment that enterprise code is not used to train GitHub's public Copilot models
• The largest installed base in the category by a wide margin, which matters for hiring and onboarding since more developers already know it

Cons:

• Credit-based billing makes heavy agentic use harder to forecast than the old flat tiers, since usage beyond the included credits is billed on top of the seat price
• Policy controls are scoped to Copilot itself, not to any other assistant a team also runs, which leaves a gap the moment a second tool enters the stack

3. Claude Code

Claude Code takes a different shape entirely from a dedicated editor: it runs across the terminal, VS Code, JetBrains IDEs, a desktop app, and a web and mobile interface, and it works inside GitHub and GitLab issues and pull requests directly, with tasks that can be kicked off from Slack, per Claude Code's own product page.

That surface flexibility matters most for organizations with developers split across editor preferences, since the same agentic tool attaches to whichever environment a given team already has, instead of forcing one IDE standard first. It's included with Claude's Pro, Max, Team, and Enterprise subscription plans, or billed through the Claude Console at standard API rates for teams that want usage-based access instead of a seat.

Pros:

• No forced editor switch; works inside the terminal, IDEs, and project-management surfaces teams already use rather than requiring a new primary tool
• Strong agentic performance on larger, more structurally complex changes, including long-running, multi-hour refactors that follow imports across an entire repository
• Runs locally and connects directly to model APIs with no backend server or remote code index, which matters to security teams wary of a third party holding a copy of their codebase

Cons:

• Fewer built-in, organization-wide admin controls than Copilot's enterprise tier offers natively
• Being multi-surface means policy still has to be enforced per surface without an added governance layer, since there's no single admin console covering every place it runs

4. JetBrains Air

JetBrains' real answer to this category in 2026 isn't the older JetBrains AI Assistant plugin, it's JetBrains Air, a standalone agentic development system the company positions as "one system for building software with agents." Air is the successor to Fleet, the IDE JetBrains introduced in 2021 and never took out of public preview; Fleet stopped being available for download on December 22, 2025, and much of its underlying platform now powers Air instead.

Rather than generating code itself, Air is built to orchestrate agents a team already uses: it works natively with OpenCode and with any agent that speaks the Agent Client Protocol, and it lets a developer choose where to work from, JetBrains IDEs, the web, a CLI, or mobile, while reviewing agent sessions, diffs, and task progress from one place.

Air is in public preview and was initially macOS-only, with Windows, Linux, browser support, and additional agents like Codex, Gemini, and Junie on the roadmap. JetBrains has not published standard per-seat pricing for it; its Lite plan includes free AI access through the Junie agent, subject to fair use, and sign-in can go through a JetBrains AI subscription, an agent's own login, or a connected third-party provider. The older JetBrains AI Assistant plugin, which lives inside IntelliJ IDEA, PyCharm, WebStorm, and the rest of the JetBrains IDE family, still exists as a separate product and has not been replaced or disabled by Air's arrival.

Pros:

• Agent-agnostic by design, works with OpenCode and any ACP-compatible agent rather than locking a team into one vendor's model
• Lets developers work from whichever surface fits a given task, JetBrains IDEs, web, CLI, or mobile, rather than forcing one entry point
• Free AI access on the Lite plan through the Junie agent lowers the barrier for a team to trial it before committing

Cons:

• Still in public preview with macOS-only full support at launch, so enterprise teams on Windows or Linux can't fully evaluate it yet
• No published per-seat pricing, and being a separate product from JetBrains AI Assistant means teams already on that plugin face a second tool and a second decision rather than an upgrade path

5. Amazon Q Developer

Amazon Q Developer's strongest case is AWS-native familiarity: infrastructure-as-code patterns, IAM policies, and AWS service debugging handled more precisely than general-purpose assistants typically manage. Its pricing stayed simpler than most of the field through 2026, a Free tier offering 50 agentic requests a month and a Pro tier at $19 per user per month, per AWS's own pricing page.

The Pro tier adds higher agentic request limits, pooled Java and .NET code transformation allowances, an admin dashboard, and IP indemnity, while the Free tier already includes access to Anthropic's Claude models for general Q&A and agentic coding.

Pros:

• Flat, predictable per-seat pricing while most competitors moved to usage-based billing, which simplifies budgeting for finance teams that dislike variable AI spend
• Strongest fit for codebases that are heavily AWS-dependent, with legacy Java and .NET modernization support built directly into the Pro tier
• IP indemnity included at the Pro tier, which matters to legal and procurement teams evaluating AI-generated code risk

Cons:

• Less compelling outside an AWS-centric stack, where its core differentiator simply doesn't apply
• Agentic multi-file editing is less mature than Cursor's or Windsurf's, and the 50-requests-a-month Free tier limit is tight for anyone doing more than light exploration

Comparison Table

Where Forge Fits: The Orchestration Layer Above Your Coding Assistant

It Governs the Tool You Already Picked

Forge is not an alternative to Cursor or to any tool above. It is Opsera's orchestration layer above the models and coding assistants, and it works with whichever model a team chooses. It was built for the moment after a line of code ships, when something needs to have approved it and something needs to be able to prove that later. Its spec-driven pipeline (Context, Living Specs, Work Orders, Guarded Build, and Evidence) keeps requirements, tests, architecture decisions, and done-criteria packaged together so a human or an AI agent can execute against the same source of truth, instead of each tool reconstructing context from scratch every time.

Approval Gates Travel With the Code, Not the Tool

A policy that only applies inside one assistant stops applying the moment a different team adopts a different one. Forge's approval gates attach to the change itself: policy and security checks run before code generation even starts, and architectural drift is blocked at the gate rather than caught in a retrospective months later. ForgeScore, Forge's modernization score, rates a codebase across eight engineering dimensions before any modernization work is planned, so teams start from a number instead of a guess.

Every Handoff Is Auditable After the Fact

Architecture decisions, agent actions, and human sign-offs all land in the same evidence trail, which Opsera says the customer owns outright, not the vendor. That distinction matters less on a good day and considerably more on the day something breaks, and someone needs to reconstruct exactly what happened, which requirement it traced back to, and who signed off on it.

How To Choose Among Cursor Alternatives

Choose By Existing Stack, Not Feature Checklist

A team already standardized on GitHub leans toward Copilot. A JetBrains shop leans toward JetBrains Air. An AWS-heavy codebase leans toward Amazon Q Developer. Most feature gaps between these tools have closed enough that stack fit decides faster than a side-by-side demo, and Windsurf's 2025 sale to Cognition is a reminder that vendor stability belongs in that same evaluation, not as an afterthought.

Choose By How Much Governance Already Exists Elsewhere

If approval workflows and audit trails already live somewhere else in the pipeline, a pure coding assistant may be enough. If they don't, and increasingly they don't once more than one assistant is in play, that gap needs to be closed separately from the editor decision, and it tends to get harder to retrofit the longer a team waits.

Which Cursor Alternative Fits Your Team?

None of the five options above wins on every axis, and many teams end up running more than one. Copilot moved to usage-based billing, Cursor joined The X Subscription alongside Grok, and Windsurf joined Cognition, so the market is full of capable tools with different strengths, not one clear default.

Stack fit and how well the tools work together, not sticker price alone, now decide most of these evaluations, and the gap that's left after any of them is chosen is governance, not code quality.

Pick the editor that fits your team's existing stack, then decide separately whether anything is enforcing approvals and keeping an audit trail across it. Forge is built for exactly that second decision. It is the orchestration layer above whichever assistant and model a team picks, including Cursor, where it is available through the Cursor marketplace, so it works with that first choice rather than competing with it.