AI tools · Category
Coding
Assistants in the editor that suggest, explain and refactor code.
Tools in this category
AI-MSL
CloudGeometry
Maintenance and development of existing software carried out by AI agents and reviewed by engineers, billed per completed change.
CodingClair
Jeffrey Walter Mixon (Einzelunternehmer)
Android and Wear OS app that lets you answer Claude Code questions, permission prompts and plan reviews from your phone or watch.
CodingClaude Code
Anthropic PBC
Anthropic's coding agent that reads and edits code, runs commands and opens pull requests from your terminal, IDE or browser.
CodingCursor
Anysphere, Inc.
A code editor built from the ground up for working with AI agents – based on VS Code, with cloud agents and code review.
CodingDevin
Cognition AI, Inc.
Autonomous coding agent from Cognition that writes and tests code and submits it as pull requests – via web, desktop app or Slack.
CodingGitHub Copilot
GitHub (Microsoft)
Coding assistant right in the editor: completes code as you type, answers questions and makes changes as an agent.
CodingKiro
Amazon Web Services, Inc.
Development environment from AWS in which AI agents first turn requirements into a design and task list, then write the code.
CodingOpenAI Daybreak
OpenAI
OpenAI's approval-based security programme with two access tiers for code review, vulnerability analysis and penetration testing.
CodingPi
Earendil Inc.
Extensible open-source coding agent for the terminal from Austria that works with models from many providers or locally.
CodingReplit
Replit, Inc.
Browser-based development environment where an AI agent builds web and mobile apps from your description, including database and hosting.
CodingRTK (Rust Token Killer)
RTK-AI LABS
Open-source command-line tool that trims output from Git, tests and build tools before it reaches your AI coding agent's context.
CodingIndependent and commission-free: vona is not affiliated with the vendors. The “Last checked” date shows when we last compared features, prices and data protection information with the vendor’s public information; the vendors’ information remains authoritative.
What to look for when choosing
For client projects, what matters most is whether code is used for training and whether this can be switched off for the whole team. Look at supported editors, quota-based billing and how well the assistant handles your project. Reviews and tests remain essential despite AI.
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