AI Coding Tools
Submit ToolFind AI tools for writing code, reviewing changes and building applications. Choose by where you work and what you need delivered: an inline suggestion, a reviewed patch, a working interface or access to a model API.
25 tools
Explore by task
Browse AI Coding Tools
GPTZZZ
One account to access Claude, GPT, Grok, DeepSeek, and GLM models through a single API.
PineGen AI
Generate, debug, and backtest TradingView-ready Pine Script v6 strategies with AI.
AICost
Independent LLM API price desk: compare model pricing across OpenAI, Anthropic, Google and more.
Code Guardian
Enforce quality gates and safety latches on AI-generated code in Claude Code and Codex.
Wallarm
Discover, observe, enforce, and govern AI workloads on AWS with kernel-level visibility and no code changes.
Kintsu.ai
Edit your WordPress site by describing changes in plain English, with safe previews and one-click publishing.
Affordable LLM API Gateway · GLM, Kimi, DeepSeek - A2Agent
Access DeepSeek, GLM, Kimi, Qwen, and MiniMax models at discounted rates through one API key.
Clipy: Agent-Readable Screen Recorder for Coding Agents
Record bugs and UI feedback once; coding agents get context they can act on.
Test-Lab.ai
Write tests in plain English and get results in minutes with autonomous AI agents that navigate your app like real users.
YYLO
Coordinate coding agents from intent through validated code while preserving task, session, review, and evaluation evidence.
Microedits
Describe changes in plain English to edit any website instantly, no code required.
Atoms AI
Build, launch, and grow apps with AI agents, no code needed.
VibeReady
Ship a production SaaS with an AI agent, RAG, and human-approved actions in about 10 minutes.
Defapi
Unified API access to OpenAI, Anthropic, Google models with intelligent routing and security.
APIPASS API Marketplace
Access 180+ AI models from OpenAI, Google, and Anthropic through one API key and one bill.
git-lrc
Catch leaked credentials, logic errors, and behavior changes before every commit.
Vicoa
Run and manage a team of coding agents from any device with Vicoa.
GemmaMatch
Find the right Gemma 4 model for your PC, Mac, or phone with auto GPU detection and copy-paste run commands.
Claude Code
Hand coding tasks to an agent that reads your codebase, edits files, and runs commands from the terminal.
Bolt
Describe an app in a prompt and get a running full-stack project you can edit and deploy from the browser.
v0
Generate web apps and interfaces from a prompt, refine them in chat, and deploy them to Vercel.
CodeRabbit
Get an automated review on every pull request in GitHub and GitLab, with bug findings and suggested fixes.
Cursor
Write and change code in an editor with tab completion, project-aware chat, and agents that edit multiple files.
Qodo
Review pull requests with AI across GitHub, GitLab, Bitbucket, and Azure, with plugins for VS Code and JetBrains.
How to choose an AI coding tool
Start with the job you need to finish, then compare the details that affect your result.
- Write or change code
- Try a small task in a real repository. Check whether the assistant follows project conventions and can explain the files it changed.
- Review a change
- Use a pull request with a known issue and inspect the feedback. Look for actionable comments tied to the changed behavior rather than a large volume of style suggestions.
- Build an application
- Confirm that you can inspect and export the source, configure the backend and deploy to your chosen host. Try modifying the generated project after the initial demo.
- Integrate a model API
- Compare supported models, authentication, usage visibility and error handling. Test request limits and failure behavior before relying on a gateway in production.
Before you choose
- Validate the output. Run the project’s checks and review the diff. A plausible explanation or successful generation does not establish that a change works.
- Fit your development environment. Check editor, operating system and repository support. Evaluate setup time and whether the tool can use your existing build and test commands.
- Control access and costs. Review repository privacy, terminal permissions and approval settings. Compare included usage with the tasks your team actually runs.
Common questions
How is a coding agent different from autocomplete?
Autocomplete suggests code as you type. A coding agent may inspect multiple files, run commands and implement a broader task. Check which actions require your approval.
Can an app builder replace normal code review?
Review generated source, data access and dependencies before shipping. Confirm the behavior with realistic inputs and the same checks you would apply to other code.
What is a useful first evaluation task?
Choose a small, representative change with a clear expected result and existing checks. Compare the final diff and validation evidence, including any manual corrections you needed.