10 Best AI Coding Assistants

AI coding assistants can suggest a line of code, explain an unfamiliar function, or help plan a change across a project. They can suit students, solo developers, and established teams, provided a person still checks what gets merged or deployed.

The options below range from familiar editor add-ons to purpose-built environments and command-line agents. Consider which tools fit your habits, then test a small task before trusting them with sensitive code or broad changes.

Quick picks

• Best overall: GitHub Copilot — convenient help across common editor workflows.
• Best AI-first editor: Cursor — chat and code edits share one workspace.
• Best for terminal users: Claude Code — works through repository tasks from a command line.
• Best open-source choice: Continue — configurable assistants for developers who want control.

How we picked

We looked for distinct, currently established approaches rather than ten versions of the same autocomplete. A useful assistant should fit a real workflow and leave room for careful review.

• Workflow: editor, browser, or terminal access that suits the intended user.
• Context: ability to use relevant files without losing sight of the requested change.
• Approachability: clear ways to start and understand the suggestions.
• Control: useful settings for privacy, permissions, and model choice.
• Trade-offs: a limitation that matters before adopting it at work.

Familiar editor companions

1. GitHub Copilot

GitHub Copilot brings code completion and conversational help into supported development tools, which makes it a natural first trial for people already using a mainstream editor. Its GitHub connection can make it convenient around everyday repository work, although a plausible suggestion is not proof that the code is correct or safe. A free plan with paid upgrades is available; check current eligibility and features.

Best for: developers who want assistance without changing their editor.

2. Gemini Code Assist

Google's Gemini Code Assist offers coding help in supported IDEs and can answer questions as well as suggest code. Developers already learning Google Cloud may appreciate its ecosystem connection, while people working elsewhere can still use editor assistance. Suggestions can miss project conventions or misunderstand a request, so review them like any outside contribution. A free plan with paid upgrades is available.

Best for: learners and developers who want Google-oriented coding support.

3. Amazon Q Developer

AWS provides Amazon Q Developer for code help and questions about AWS services, making it especially relevant when a project uses that cloud platform. Its service knowledge can save a search when configuring familiar AWS components, but it is less compelling for work with no AWS connection. A free plan with paid upgrades is available; review its current data settings before using workplace code.

Best for: builders whose projects depend on AWS services.

4. Tabnine

Tabnine focuses on code completion and assistant features for individual developers and organisations. Teams evaluating AI use may value its emphasis on administrative and privacy controls, though actual protections depend on plan, configuration, and company policy. Compare the supported editor experience with your team's needs rather than assuming every feature is included. Paid plans and trial or introductory access may be available; confirm current terms.

Best for: teams that need to assess governance alongside suggestions.

AI-centred coding environments

5. Cursor

Cursor is an AI-focused code editor built around asking questions and making edits with project context. The integrated workflow is its appeal: a developer can discuss a change and inspect proposed edits in the same environment. Switching editors and supervising broad edits are real costs, especially for teams with established setups. Cursor offers free access alongside paid upgrades.

Best for: developers comfortable trying an editor designed around AI.

6. Windsurf

Windsurf combines an editor with agent-style assistance intended to follow a coding task through multiple steps. That can help when a newcomer wants a guided experience rather than managing separate chat and editor windows. Generated changes still need to be checked, and complex projects may require careful steering. Windsurf offers a free plan with paid upgrades; confirm the current feature limits.

Best for: individuals who prefer a guided, integrated coding workspace.

7. Replit

Replit pairs a browser-based coding workspace with AI features, so users can write and run projects without first configuring a local development environment. The all-in-one setup suits learning and quick prototypes; developers with specialised local toolchains may find it restrictive. Features and usage depend on the current plan, which includes free access and paid upgrades.

Best for: students and hobbyists who want to start coding in a browser.

Repository and terminal assistance

8. Claude Code

Claude Code is a terminal-oriented assistant that can inspect and modify a codebase through a command-line workflow. It suits developers comfortable reviewing file changes and deciding which commands an agent may run. Its reach is useful for multi-file tasks, but it also makes permission checks and backups important. Access is paid through eligible plans or usage arrangements; check current terms.

Best for: experienced developers who are at ease inspecting terminal-driven changes.

9. Sourcegraph Cody

Sourcegraph offers AI assistance for asking questions about code and working with repository context. That can be valuable when a developer must trace how a large project is organised before changing it. Context quality depends on repository access and configuration, and an answer should be verified against the source. Availability and plans vary; check the current offering before choosing it.

Best for: developers navigating codebases they did not write.

10. Continue

Continue is an open-source way to add AI assistance to developer workflows, with flexibility around models and configuration. That flexibility appeals to people who want to tailor an editor experience rather than accept a single fixed setup. The trade-off is more decisions about providers, keys, and configuration than a ready-to-use hosted assistant. It is open source; model and hosting costs may be separate.

Best for: technically confident developers who want configurable tooling.

How to choose the right one

Begin with a specific job: completing repetitive code, explaining a dependency, writing a test outline, or tracing a bug. Pick a small task whose correct result you can recognise. Compare the time spent prompting and correcting with the time saved, and check that the tool works in your editor or repository setup.

Before sharing work code, read the provider's current data terms and follow your employer's rules. Never paste credentials, customer records, or confidential material into an unapproved service. For agents that edit files or run commands, inspect the proposed actions and keep a version-control checkpoint. You remain responsible for tests, accessibility, security, and licensing decisions.

If you are handling API examples, Stockio's JSON to TypeScript converter can turn a JSON sample into a type starting point; verify optional fields and edge cases yourself. Browse the AI coding assistant directory for more choices, and read our guides to reviewing AI-generated code and AI pair programming for junior developers for safer habits.

Key takeaways

• Match the assistant to your existing editor, repository, or terminal comfort.
• Judge it on a small, checkable task rather than a polished demo.
• Verify generated code, explanations, and edits before they become part of a project.
• Review data terms and permissions before connecting private repositories.
• The best tool is one that saves effort without hiding work you need to understand.