Best Free AI Developer Tools

Starter is built for one active developer: unlimited repos and 50 credits a month, where one credit buys one standard review. That is enough to judge review quality on a personal project before any seat is paid for. Pro adds unlimited users, custom rules and unlimited external app connections, and self-hosting arrives with Enterprise. Choose it over CodeRabbit when you want a fixed monthly review count to plan around.

• +Indexes the entire codebase into a graph structure covering files, functions, and dependencies, not just the diff being reviewed.
• +Catches breaking changes in files three or more layers removed from the PR, which most diff-only tools miss.
• −Earlier versions had a significant false positive noise problem, which required a dedicated v4 release to address.

The free plan is a security scanner, not a chat assistant: up to five projects, with scans of open source dependencies, your own code, infrastructure-as-code files and containers through the IDE, CLI or source control. No card is needed. Jira integration, more projects and higher test limits start on Team. Choose it over CodeRabbit if the goal is catching vulnerabilities instead of reviewing pull requests.

• +Snyk's SAST engine uses DeepCode AI, a purpose-built security model trained on security patterns rather than a generic AI bolt-on, making its analysis more targeted and credible.
• +Reachability analysis identifies whether a vulnerable dependency is actually called by your code, significantly reducing false positives and alert fatigue.
• −Pricing can be difficult to justify for smaller teams, especially given that the 2 million developer user count is heavily weighted toward free-tier users.

The free plan gets you into Cursor with limited agent and Chat requests on its own models. That suits trying the editor and its agent before paying, not daily agent runs. Cloud agents, Bugbot and Claude, GPT and Gemini start on Premium at $30; Plus at $8 adds more usage on Cursor's own Grok models only. Privacy Mode keeps your code out of training. Pick it over Copilot Free when agent-style edits matter more than a completion count.

• +Cursor is a full IDE fork of VS Code, preserving familiar muscle memory, extensions, and keybindings while deeply integrating AI as the primary interface.
• +Runs its own Grok and Composer models on every plan and adds Claude and Gemini on Premium and up, so developers can pick the right model for each task.
• −Cursor requires replacing your existing editor entirely rather than functioning as a plugin, which is a significant commitment for developers invested in their current setup.

Unusually, the free tier leaves inline edits and Tab completions unlimited, while agent work gets a light quota and limited model availability. That suits someone who mostly wants completions and the occasional task handed to a cloud environment with its own terminal, browser and editor. Pro adds frontier models from OpenAI, Claude and Gemini. Against Copilot Free's monthly count, having no count on completions is the draw.

• +Devin operates autonomously on complex, multi-hour tasks like codebase migrations and large refactors, not just autocomplete suggestions.
• +The cloud-based environment includes a terminal, browser, and code editor, requiring no local installation for the core agent.
• −The underlying model routing logic between SWE-1.7 and third-party models is not documented in any useful detail.

A terminal that carries its own agent. The free plan includes the core terminal, the Warp Agent CLI, limited cloud agents and the option to bring your own inference, with pay-as-you-go credit reloads once the allowance is spent. Build adds 1,500 credits, frontier and open source models and 40 indexed codebases. Choose it over Aider if you want an app with a cloud agent, not a plain command.

• +The terminal offers AI-powered command completion and natural language to shell command translation, reducing friction for developers.
• +Warp Drive provides a shared space for saving and distributing commands across a team, improving workflow consistency.
• −The product has pivoted significantly, and it is unclear whether the terminal and the agentic platform feel like one coherent product or two separate tools stapled together.

Cline is free in the plainest sense: an open source core that runs on your own machine, with your own API key and no allowance counted by Cline. You pay your model provider directly, or point it at a local model. It supports VS Code, and the listing says your code is not used for training. Choose it over Aider if you want the agent inside an editor instead of the terminal.

• +Fully open-source runtime gives developers complete control over the underlying model and infrastructure.
• +Model-agnostic architecture supports GPT-4o, Claude, and open-weights models, avoiding vendor lock-in.
• −The tool requires developers to manage their own API keys and model infrastructure unless they pay for ClinePass.

Codex comes with ChatGPT Free, where it handles quick coding tasks on GPT-6 Luna at standard speed in the desktop app, subject to rollout. That is a taste of the agent rather than a daily tool: Codex on the web, in the CLI and in the IDE extension starts at Plus, $20 a month, and the free plan has no image generation. Choose it over Aider when you would rather start from a ChatGPT login than manage a provider account.

• +The Codex CLI is open source under Apache-2.0 and runs on macOS, Windows and Linux.
• +Cloud tasks on Plus and above end in a commit or a pull request, and @codex review works on pull requests.
• −Plus gives a few focused coding sessions each week, and Go is meant for lightweight coding tasks.

A fast editor written in Rust. The Personal plan includes 2,000 accepted edit predictions, and use is unlimited once you add your own API keys or an external agent. Keys from Anthropic, OpenAI, Google and others work, as do local models. Pro adds unlimited edit predictions and $5 of tokens. Choose it over Cline if you would rather have a dedicated editor than an add-on to another one.

• +Built from the ground up in Rust, delivering genuine GPU-accelerated and multi-core performance that users consistently describe as noticeably faster than VS Code, especially on large files.
• +Zed owns the entire stack, rendering, AI, and collaboration, rather than being a plugin layered onto another editor, giving it architectural coherence competitors lack.
• −Windows support arrived later than macOS and Linux, suggesting platform parity may still lag for Windows-first developers.

If your day is already spent in a JetBrains IDE, the free tier brings unlimited local code completion and a small bucket of AI credits. Local completion never runs out, so agent and chat use is where the limit shows. You can bring your own key or run local models, and the listing states no training on your code. AI Pro has a 30-day trial. Pick it over Copilot if you work in these IDEs.

• +Deep IDE integration means no context-switching, the AI layer sits directly inside IntelliJ, PyCharm, WebStorm, and other JetBrains tools developers already use daily.
• +Multi-model backend pulls from GPT-4, Claude, and Google Gemini/Codey, so teams aren't locked into a single vendor's approach to code generation.
• −The AI Assistant is an add-on to an existing ecosystem, making it a poor fit for developers who don't already use JetBrains IDEs.

Amazon Q Developer's free tier gives a limited number of agentic requests each month with the latest Claude models, in your IDE or the command line. It needs an AWS Builder ID or an AWS account. The listing states no training on your code, with an opt-out. Pro adds higher limits, Java and .NET app transformation and IP indemnity. Choose it for work built around AWS, and over Warp when you stay in an IDE.

• +Amazon Q Developer integrates directly into popular IDEs like VS Code and JetBrains, as well as the CLI and AWS Management Console, making it accessible in existing workflows.
• +Offers a broad feature set including inline multi-line code suggestions, natural language code generation, test writing, debugging, and security scanning with automated fix suggestions.
• −Amazon Q is not a single product but a fragmented family of tools, making it genuinely confusing for buyers to understand what they are actually purchasing.

Aider costs nothing to install and counts nothing: you pay your own model provider, whether OpenAI, Anthropic, DeepSeek or a local model, and it runs in the terminal on your machine. Its git-native flow keeps edits easy to review, and the listing says your code is not used for training. Choose it over Cline for a terminal-based way of working, or over Warp for a plain open source tool.

• +Terminal-native interface keeps workflow focused with no browser tabs or sidebar widgets cluttering the experience.
• +Works with multiple LLMs including Claude 3.7 Sonnet, OpenAI o1, and DeepSeek R1, giving users cost and performance flexibility.
• −No inline autocomplete or tab-complete behavior, which will disappoint developers expecting a GitHub Copilot-style experience.

Kiro's free plan gives 50 credits a month in AWS's agentic IDE and CLI, with open weight models and Claude Sonnet 4.5 under limits. Frontier models spend credits faster, and Kiro Web, cloud agents and the premium models start on Pro. Free inputs may be used for service improvement unless you opt out. With no tab completion, pick it over Cursor when you plan work as specs and let the agent run.

• +A perpetual Free plan includes 50 credits a month with open weight models and Claude Sonnet 4.5.
• +Claude, GPT and open weight models from DeepSeek, Qwen, Kimi, GLM and MiniMax sit on one credit allowance, with an Auto router.
• −The IDE has no tab completion for code; it is driven by chat and agents.

Jules costs nothing on its own: the free plan runs 15 tasks a day, three at a time, each in a Google cloud VM that clones your GitHub repo, plans, codes and opens a pull request. It uses Gemini models with no picker and does not suggest code as you type. Higher limits come only with Google AI plans. Pick it over Devin's free tier when you want to queue several small fixes from GitHub issues.

• +The free plan gives 15 tasks a day and 3 running at once, and it does not expire.
• +Each task runs in a fresh cloud machine and the changes come back as a pull request.
• −Jules does not suggest code as you type, and its chat sits outside your editor.

Base44's free plan gives 25 message credits and 100 integration credits a month, with up to five apps that already include authentication, a database and analytics, all hosted by Base44. There is no daily allowance, so the 25 messages are the budget for a month. A custom domain and a larger credit pool start at Starter, $20 a month. Choose it when you want a working app with login and data from a prompt, not an editor to configure.

• +The backend, a database, authentication and hosting are built in, with a built-in database on every plan including Free.
• +The Free plan gives 25 message credits and 100 integration credits a month and up to 5 apps.
• −Plans run on message credits, and Starter holds 100 message credits a month.

Bolt runs a full Node.js environment inside a browser tab, so the free plan is about how many rounds of prompting you get: 300K tokens a day and 1M a month. Sites carry Bolt branding and uploads are small. Pro removes the daily limit and the branding and adds custom domains. Choose it over Lovable when you want the token allowance spelled out, and over v0 for whole apps.

• +Generates full-stack web apps entirely in the browser without requiring any terminal access or local environment setup.
• +WebContainers technology bundles the entire Node.js runtime in a browser tab, eliminating the need for external service accounts.
• −The product was founded in 2024 and is still moving fast enough that some features and edges remain rough and unpolished.

v0 is the pick for interface work that ends up on Vercel. The free plan gives $5 of monthly credits, Design Mode, GitHub sync and deployment to Vercel, and seven messages a day is the cap to plan around. Plus adds all models and more credits, and Business opts you out of training by default. It runs in the browser, with an iOS app. Choose it over Bolt for UI components.

• +Generates React and Next.js UI extremely fast, outpacing most AI coding assistant tools in the category.
• +Integrates shadcn/ui components by default, providing consistent and modern UI output out of the box.
• −Generated code is often not production-ready, meaning significant developer cleanup may be required before real deployment.

Lovable aims at people who want a working web app from a chat description. Its free plan keeps projects private to your workspace, with unlimited collaborators, five lovable.app domains and a limited number of credits. Pro adds 100 monthly credits, rollovers, custom domains and removal of the Lovable badge. It runs in the browser. Choose it over v0 for a whole app, and over Bolt if collaborators matter.

• +Generates full-stack React and TypeScript web apps through natural language chat, requiring no coding knowledge or IDE setup.
• +GitHub integration allows users to export and version their generated code, giving them ownership and portability.
• −No IDE integration or CLI support means it cannot slot into existing developer workflows in VS Code or JetBrains.

• +Bubble AI builds a working app with interface, database and logic from a description.
• +Every app gets a built-in database, user authentication and privacy rules with no SQL needed.
• −There is no code export, so apps run only on Bubble and moving off means rebuilding the logic.

Replit goes from a prompt to a deployed app in the browser: the agent writes code, configures a database, installs dependencies and deploys. The Starter plan includes basic features on shared compute with limited AI credits. Core adds more credits, always-on deployments and more compute. Choose it over Lovable if you want an editor with completion and hosting in one place, rather than a builder alone.

• +No local setup required, the entire development environment runs in a browser with zero terminal configuration needed.
• +Supports over 50 programming languages including Python, JavaScript, TypeScript, Go, Rust, and Ruby.
• −Replit does not fully disclose which LLMs power the agent, making it difficult to evaluate reliability or performance expectations.

Bito's way in is a free trial of AI Architect and AI Code Reviews, with no card needed, rather than a standing plan. Both build on a knowledge graph of your codebase. The listing says your code is not used for training, and self-hosting is an Enterprise option. Pick it over CodeRabbit when you want reviews and design help grounded in the whole repo, and expect to ask for a quote to continue.

• +The AI Architect system indexes code, commits, documentation, and open issues across all repositories to build a connected knowledge graph, providing richer context than typical coding assistants.
• +AI code review goes beyond syntax checking by surfacing downstream risks that touch other services or APIs before a pull request is merged.
• −Running multiple AI models introduces unpredictability in output quality that isn't always easy for users to anticipate or control.

This is a trial, not a standing plan: seven days with the Hobby features, 2,000 LDMtokens, one frame at a time and ten frames per project. It converts Figma or Penpot designs into front-end code, so judge it on a real design file. On Hobby your content may be used to improve the platform, while Pro states it is never used for training. Pick it over v0 when you start from a design file instead of a prompt.

• +Supports a wide range of frameworks including React, React Native, Next.js, Angular, Vue, Flutter, SwiftUI, and Jetpack Compose, broader than most competitors at its price point.
• +Uses a proprietary Large Design Model (LDM) trained specifically on design data rather than general code, which may better understand spacing, component hierarchies, and layout intent.
• −No inline autocomplete, code review, test generation, or debugging tools, it is strictly a design-to-code converter and will disappoint those expecting a full AI coding assistant.

Not a coding assistant: Galileo evaluates and monitors LLM applications and agents. The free tier gives 5,000 traces a month with unlimited users and unlimited custom evals, which suits a small team shipping an AI feature. Support on free is bot chat. Pro raises traces to 50,000, and VPC or on-prem deployment is Enterprise. Choose it when you build AI products rather than write code with one.

• +Luna models reduce LLM-as-judge evaluation costs by 96% compared to running full LLM evaluators, making large-scale evals financially viable.
• +Seamlessly connects offline evaluation during development with real-time production monitoring in a single unified workflow.
• −Galileo does not offer code generation, autocomplete, or refactoring features, making it unsuitable for general developer productivity use cases.

A documentation platform rather than a coding assistant. The free Starter plan includes the full platform, a custom domain, the web editor, authentication, an MCP server and an API playground. The Agent, Assistant, Automations and preview deployments start on Pro. Choose it over self-hosting Docusaurus if you want hosting and editing handled for you, and over the other tools here when the output is docs.

• +Mintlify serves over 20,000 companies including Anthropic, Coinbase, and HubSpot, demonstrating strong product-market fit in developer documentation.
• +The platform offers solid Git sync with both GitHub and GitLab, making it easy to integrate into existing developer workflows.
• −Mintlify does not offer code completion, debugging, or test generation, making it narrowly focused compared to broader developer tools.

AskCodi Desktop is free software for Mac, Windows and Linux, and you pay for model usage through your own provider account or optional AskCodi credit. The free plan adds free models, 100K one-time tokens, custom agents and an OpenAI-compatible API. Those tokens do not renew, and Starter adds 16M tokens a month. Choose it over Aider if you prefer a desktop app to a terminal.

• +Multi-agent orchestration system breaks features into parallel tasks across isolated git branches, reducing bottlenecks in complex development work.
• +A dedicated CTO agent routes subtasks to specialist agents for tests, security, and refactoring, providing a structured engineering workflow.
• −AskCodi doesn't fit neatly into the standard AI coding assistant category, which may confuse users expecting a straightforward code completion tool.