GitHub Copilot Alternatives

Cursor is an AI-powered code editor that transforms how developers write and edit code through intelligent automation. Built for modern development teams, it combines traditional editing with advanced AI assistance to speed up coding workflows. The platform targets developers who want smarter code completion and AI-driven editing without sacrificing control.

Key Highlights

• AI-powered code completion and editing suggestions
• Clean, responsive interface that integrates with existing workflows
• Real-time code analysis and intelligent recommendations
• Support for multiple programming languages and frameworks
• Seamless integration with popular development tools
• Background processing for faster performance

What Makes It Different

Cursor sets itself apart by offering context-aware AI assistance that goes beyond basic autocomplete. The editor learns from your codebase and coding patterns to provide relevant suggestions. Its AI agents can handle complex editing tasks while maintaining code quality and consistency.

Features & Capabilities

The platform offers intelligent code completion that understands project context and coding style. Users can leverage AI-powered editing for refactoring, bug fixes, and code optimization.

The editor supports collaborative development with real-time sharing and version control integration. Background agents work continuously to analyze code and suggest improvements without interrupting the development flow.

User Ratings and Testimonials

Cursor has an average rating of 4.8 out of 5 stars from over 1,200 reviews on various platforms.

Users praise the AI-powered code completion and editing features. They find the interface clean and responsive. Many appreciate the seamless integration with existing workflows. Some users mention occasional lag with large codebases. They also note that the AI suggestions can sometimes be overly aggressive for simple tasks.

Pricing & Value

Cursor offers several pricing plans:

• Hobby: Free with Pro two-week trial, limited Agent requests, and limited Tab completions
• Pro: $20/month for extended Agent limits, unlimited Tab completions, and Background Agents access
• Ultra: $200/month with 20x usage on all AI models and priority access to new features

Teams pricing starts at $40 per user monthly with Privacy Mode enforcement, admin dashboard, and centralized billing. Enterprise offers custom pricing with enhanced usage, SCIM management, and priority support.

The free Hobby plan includes a two-week Pro trial, making it easy to test premium features before committing to paid plans.

Devin Desktop, formerly Windsurf, is a coding IDE and command center for local and cloud agents. Windsurf became Devin Desktop on June 2, 2026. The classic editor remains available, while the Agent Command Center brings agent work into the main interface.

Key Highlights

• Coding IDE with the classic editor experience retained
• Agent Command Center for organizing agent work
• Existing editor settings, workflows, and extensions remain relevant
• Free inline edits and Tab completions
• Agent quotas and model access depend on the plan
• Existing legacy plans retain their transition terms

What Makes It Different

The rename brings the IDE under the Devin brand alongside Cloud, CLI, and Review. It does not mean that every Windsurf plugin is the same product as Devin Desktop. The transition FAQ distinguishes the desktop IDE from other integration paths and preserves existing plan terms.

Features & Capabilities

Developers can use the editor while managing coding-agent tasks from the command center. The existing Windsurf experience remains accessible rather than being removed by the rename. Organizations should review the updated application name and deployment guidance when managing desktop installations.

Paid plans provide access to more models and larger agent allowances. Usage depends on the model, task size, and reasoning required. Unlimited Tab completions or inline edits do not mean unlimited paid-model agent work. Legacy subscriptions should be assessed under their own retained terms.

User Ratings and Testimonials

Past Windsurf reviews describe earlier releases. For a current evaluation, test the editor and agent workflow on a representative repository and review the proposed code changes. No general productivity percentage is guaranteed.

Pricing & Value

• Free: light agent quota, limited models, unlimited inline edits and Tab completions
• Pro: $20/month
• Max: $200/month, with higher allowances
• Teams: $80/month team fee plus $40/month per full developer seat
• Enterprise: custom terms

Paid usage allowances refresh daily and weekly. Extra usage is available at API pricing; legacy Windsurf plans may differ.

Claude Code brings AI-powered coding assistance directly into your development environment. Developers can work with repository files and commands within supported development environments. It targets professional developers working on projects of various sizes.

Key Highlights

• Direct integration with development environments
• Access to Claude models under the selected plan and usage limits
• Subscription and API access with different usage allowances
• Explore code, edit files, and run development commands
• Built for both individual developers and teams

What Makes It Different

Claude Code brings assistance into the repository workflow. It can inspect project context and propose edits or commands, while the developer controls permissions and reviews the outcome. Plans provide different usage allowances rather than fixed limits on repository size.

Features & Capabilities

Claude Code offers AI-powered code generation, debugging assistance, and code review capabilities. Available usage depends on the account and plan; repository size alone does not determine access. The tool supports everyday coding tasks and intensive development work through different AI model access levels.

User Ratings and Testimonials

Evaluate the tool on a contained repository task. Inspect edits, run tests, and compare the amount of manual review required. Generated code and executed commands need developer oversight.

Pricing & Value

• Pro: $20/month, or $200/year, with Claude Code access and usage limits
• Max 5x: $100/month with higher usage than Pro
• Max 20x: $200/month with a larger usage allowance

Claude Code also supports Anthropic Console access billed by API consumption. Subscription limits depend on the selected model, context, and task. Review file edits and command outcomes before accepting the result.

Codex is OpenAI's coding agent for developers who want help writing, reviewing and maintaining software. It can work with a repository, explain code, make edits and run development tools. Local clients and eligible cloud environments provide different ways to carry out a task.

Key Highlights

• Repository work from written instructions
• Code editing, explanation and review
• Commands and tests in the working environment
• CLI and IDE extension workflows
• Cloud tasks for eligible accounts and workspaces

What Makes It Different

Codex works on a development task with project context rather than only returning an isolated code snippet. It can inspect files and use tools while making changes. Its suggestions and test output help a developer review a result, but generated code still needs appropriate checks.

Features & Capabilities

Start in a repository and describe the behavior you want changed. Codex can examine existing implementation, edit files and run available checks. Project instructions, environment permissions and installed tools shape what it can do. Review the diff and any remaining failures before accepting changes.

The CLI and IDE extension provide local development workflows. Codex Cloud runs tasks in managed environments for eligible accounts, subject to workspace settings. Cloud work can continue while a computer is asleep, whereas local workflows depend on the device running the task.

User Ratings and Testimonials

OpenAI shows coding workflows and examples for Codex. Evaluate it with a representative task and your repository's checks. A successful demonstration does not establish correctness for a different codebase, dependency set or deployment environment.

Pricing & Value

• ChatGPT plans: Codex is included across plans, including Free and Go, with usage limits
• Codex Cloud: requires an eligible paid account and enabled workspace access
• API access: separate billing applies when using an API key

Allowances vary by plan, task complexity, tools and model. Check account eligibility and usage before starting long-running tasks.

Augment Code is an AI coding platform for professional engineering teams that want agents to work across the software delivery loop, not just autocomplete code. Cosmos coordinates agents for triage, authoring, review and verification, with shared organization knowledge and controls for larger codebases.

Key Highlights

• Cosmos runs agents for triage, PR authoring, review, risk analysis and testing.
• Context Engine maps code by structure, including call paths and active code.
• Integrates with Slack, GitHub, Jira, CI, the CLI, MCP and native tools.
• Supports laptops, dev VMs, managed cloud and customer cloud deployment.
• Includes SOC 2 Type II, ISO/IEC 42001, SSO, RBAC, audit logs and SIEM.
• Paid plans state that Augment does not train AI on customer code.

What Makes It Different

Augment Code is positioned less like a single coding assistant and more like an organization-level agent system. The homepage describes specialized experts for each stage: Work Dispatcher, PR Author, Pair Review, Deep Code Review, PR Risk Analysis and Tester.

Its main technical differentiator is the Context Engine. Augment says it maps codebase structure and pulls only the slice relevant to the task, instead of sending broad keyword matches to a model. That matters for teams worried about token cost, context quality and large-repo changes.

Features & Capabilities

Teams can use shipped experts, fork them or build their own templates with separate environments, capabilities and memory. Cosmos adds an expert registry, human-in-the-loop escalation, organization knowledge, scheduling, sandboxes, shared file systems and lifecycle triggers.

The enterprise feature set includes zero data retention, CMEK encryption, VPC deployment, single-tenant instances, BYOK for models, data residency controls, replayable runs, on-prem deployment, HIPAA BAA availability and dedicated account support.

User Ratings and Testimonials

Augment's homepage includes vendor-reported customer outcomes. Those figures are examples of particular deployments, not guaranteed results for every team.

The product suits teams that need shared agent workflows, policy controls and codebase context. Standard and Business support is community-based with tickets through the support portal, while Enterprise adds dedicated support.

Pricing & Value

• Standard: $20/month, flat price for up to 50 seats, with $20/month of included usage.
• Business: $100/month, flat price for up to 50 seats, with $100/month of included usage across LLM, Context Engine and compute.
• Enterprise: Custom pricing for high-volume organizations, unlimited users, custom usage, multi-region compute, SSO, OIDC, SCIM, CMEK, ISO 42001 compliance and dedicated support.

Standard and Business usage is pooled across the team. Extra usage is handled with pay-as-you-go top-ups, and the pricing FAQ lists a 40% service fee on LLM usage, with compute billed separately and no service fee on compute.

Amp is a coding agent and development environment for web, terminal, and native app workflows. It can inspect projects, edit code, and use tools. Its current experience includes orbs: machines created for agent threads with the project's code and tools ready to use.

Key Highlights

• Coding sessions through the web and CLI
• Native macOS, iPhone, and iPad apps
• Orbs that let agents continue working remotely
• Saved and shared threads across clients
• Plugins, skills, MCP, and AGENTS.md instructions
• Model access through supported subscriptions or your own keys

What Makes It Different

Amp combines the coding agent with a development environment. An orb supplies a machine for a thread, so a remote task can continue after you close your laptop. Local CLI workflows and your own runners provide other ways to work.

Features & Capabilities

Create a project from a Git repository, then give the agent a task. The web experience starts threads in orbs, while the CLI can work on your machine or from scripts. Native apps add notifications and ways to follow up on agent work.

Threads and workspace features support collaboration. Plugins and skills customize the workflow, and model routing can use supported external accounts. A consumer subscription must be connected and eligible; it does not automatically cover every model or infrastructure charge.

User Ratings and Testimonials

Amp publishes product examples and vendor-selected feedback rather than a universal independent rating. Review generated code and test changes in your project. Orb resource needs, provider access, and the selected workflow affect cost.

Pricing & Value

Hobby is free, with pay-as-you-go orbs or your own runners. Paid individual tiers start at $20/month. Teams have no additional team charge, and members can use different tiers. Enterprise pricing is custom. Amp lists no token fee for supported external subscriptions or BYOK; provider charges and orb usage still depend on the selected setup.

Kiro is an agentic coding environment for developers who want AI help with software delivery, not just code snippets. It turns a prompt into requirements, design notes, implementation tasks, code, docs, and tests across an IDE, CLI, and web.

Key Highlights

• Spec-driven development turns prompts into requirements, acceptance criteria, designs, and task lists
• IDE, CLI, and web agents for local work, terminal workflows, and cloud sessions
• Agent hooks run background tasks such as docs, tests, or performance checks
• Native MCP support connects Kiro to docs, databases, APIs, and other tools
• Built on Code OSS, with VS Code settings, themes, and Open VSX plugin import
• Per-prompt credit usage shows how much each request costs

What Makes It Different

Kiro is built around specs rather than chat alone. A natural language request becomes structured requirements, an architectural design, and sequenced tasks that map back to those requirements. That gives the agent a documented plan before it starts changing files.

The workflow also extends beyond the desktop editor. Kiro CLI brings agents into the terminal, while Kiro Web runs sessions in isolated cloud sandboxes against GitHub or GitLab repositories. Steering files carry project rules across the IDE, CLI, and web.

Features & Capabilities

In the IDE, developers can review live code diffs, approve changes, diagnose syntax and type errors, generate commit messages, and use image inputs for UI or architecture context. Autopilot mode can reduce step-by-step prompting while scripts and commands still stay under user control.

Kiro supports common languages including Python, JavaScript, TypeScript, Go, Rust, SQL, YAML, and HCL. The CLI installs on macOS, Linux, and Windows, and subscriptions also work in ACP compatible IDEs and development automation.

User Ratings and Testimonials

Kiro does not publish a public average rating. Customer quotes praise the spec-driven workflow, background hooks, Terraform and Python support, and stronger implementation plans. Practical limits are visible too: usage is credit-metered, premium model access depends on plan and country or region, and autonomous mode is only in Kiro Web today.

Pricing & Value

• Kiro Free: $0/month, 50 credits, open weight models and Claude Sonnet under limits
• Kiro Pro: $20/month, 1,000 credits, premium models, and optional add-on credit packs at $0.04/credit
• Kiro Pro+: $40/month, 2,000 credits, premium models, and optional add-on credit packs at $0.04/credit
• Kiro Pro Max: $100/month, 5,000 credits, premium models, and optional add-on credit packs at $0.04/credit
• Kiro Power: $200/month, 10,000 credits, premium models, and optional add-on credit packs at $0.04/credit

Team plans add centralized billing, usage analytics, SAML/SCIM SSO through AWS IAM Identity Center, organization management, and enterprise security controls.

Cline is an open-source AI coding agent that runs inside VS Code, your terminal, CI pipelines, or your own product through its SDK. It is built for developers who want an autonomous agent that edits across a whole project, runs commands, and works with supported model providers while you keep control of cost.

Key Highlights

• Coordinated multi-file edits with diffs, checkpoints, and one-click undo on every step
• Plan mode to agree a strategy first, then Act mode to execute with step approval or auto-approve
• Runs bash commands in your terminal and reacts to output live, including servers and tests
• Works with Claude, GPT, Gemini, local Ollama or LM Studio, and any OpenAI-compatible endpoint
• Extends through MCP servers and an SDK, plus Slack, Discord, Linear, and CI integrations
• Apache 2.0 open-source coding project

What Makes It Different

Cline is open source (Apache 2.0) and model-agnostic, with several model-access options, including usage billing, BYOK, and optional ClinePass. Its Plan-and-Act split is the core mechanism: Plan mode lists which files it will touch and the steps it will take, then Act mode carries them out one approval at a time, keeping the agent transparent and reviewable rather than a black box.

Features & Capabilities

You point Cline at a task and it reads the codebase, proposes a plan, then makes coordinated changes across many files while keeping imports, types, and behavior consistent. It runs tests, starts dev servers, and reacts to terminal output live. A .clinerules file teaches it your standards, architecture, and deployment conventions.

Beyond the editor, the CLI runs in scripts, cron jobs, and CI pipelines. You can register custom tools and MCP servers and set up multi-agent teams where a coordinator delegates to specialists. Cline reports contributions from more than 250 contributors.

User Ratings and Testimonials

Evaluate the Plan and Act workflow with representative changes, and inspect commands before approving them. Large tasks can consume substantial model usage. Cline reports more than 11 million installs across supported platforms; an install count is not a count of unique developers.

Pricing & Value

• Open Source: Free for individual developers. Includes the VS Code extension, CLI, MCP marketplace, and multi-root workspaces. Model access uses provider keys, local runtimes, or Cline usage billing; no mandatory subscription or seat fee for the open-source version. Optional ClinePass costs $9.99/month.
• Enterprise: Custom pricing. Adds SSO, role-based access control, model and tool controls, remote configuration, observability, and team management. The JetBrains plugin is also listed among the regular applications.

The extension and model access have separate economics. Compare provider usage charges and optional ClinePass with the tasks you expect to run.