What Are the Main AI Coding Tools and How Do They Differ?

Updated

The main AI coding tools split into two groups: terminal-based CLI agents (Claude Code, OpenAI Codex CLI, Gemini CLI, GitHub Copilot CLI, Kiro CLI, Antigravity CLI, Grok Build) and editor-integrated tools (Cursor, Devin Desktop). If you work primarily in a terminal or want scriptable, headless automation, a CLI tool fits better. If you want AI assistance inside a graphical editor with inline diffs and visual context, an IDE-class tool is the better starting point. The two categories are not mutually exclusive — many developers run a CLI agent alongside an editor-based tool.

The two categories, and why the distinction matters

The split is not cosmetic. It determines how you invoke the tool, how it sees your codebase, and how easily it fits into automation.

CLI tools run in your terminal. You type a prompt, the agent reads and writes files, runs commands, and reports back. They are scriptable, work over SSH, and fit into CI-style workflows. Their context model is usually "the working directory plus whatever you explicitly point them at."

Editor-integrated tools live inside a GUI. They see your open files, cursor position, and project tree, and they surface suggestions as inline edits or chat panels. They are easier to adopt for interactive, visual work but harder to automate.

Dimension CLI tools Editor-integrated tools
Where you work Terminal / SSH GUI editor
Automation Scriptable, headless-friendly Limited
Context source Working directory, explicit paths Open files, project tree, cursor
Typical examples Claude Code, Codex CLI, Gemini CLI, Copilot CLI, Kiro CLI, Antigravity CLI, Grok Build Cursor, Devin Desktop
Best for Batch edits, pipelines, remote work Interactive editing, visual review

Who makes each tool

Vendor and ecosystem matter because they shape model access, pricing surface, and how fast features land.

  • Claude Code — Anthropic
  • OpenAI Codex CLI — OpenAI
  • Cursor — Anysphere
  • Gemini CLI — Google
  • Kiro CLI — Amazon Web Services
  • GitHub Copilot CLI — GitHub
  • Devin Desktop (formerly Windsurf) — Cognition
  • Antigravity CLI — Google
  • Grok Build — SpaceXAI

If your team is already standardized on one vendor's models or cloud, the tool from that vendor usually integrates with the least friction. If you want to avoid lock-in, mixing a vendor-neutral editor with a CLI agent from a different vendor is a common pattern.

Reading release notes to judge a tool's direction

Changelogs are the most reliable signal of what a tool is actually optimizing for. A steady stream of security and permission fixes suggests the maintainers are hardening a maturing product; frequent UX and performance changes suggest active feature development.

Recent examples from the tracked timeline (last updated October 3, 2026):

  • Claude Code v2.1.289 (Oct 3, 2026) — improved security so permission rules apply correctly across complex commands and user mods on managed machines, plus terminal performance work. The prior v2.1.288 added one-keystroke recovery of lost work and more control over code review findings.
  • Antigravity CLI v1.2.16 (Oct 3, 2026) — arrow-key shortcuts for faster configuration and better performance when resizing the terminal. v1.2.15 added Android/Termux support and smarter memory usage, and began respecting permission denials.
  • OpenAI Codex CLI rust-v0.160.0 (Oct 1, 2026) — easier task-history browsing, text paste in fullscreen terminal mode, and a stability overhaul fixing message delays.
  • GitHub Copilot CLI v1.0.91 (Oct 1, 2026) — sandbox commands working on Windows and new certificate management controls. v1.0.90 added support for GPT-6.1 Sol in the model picker.
  • Claude Code v2.1.287 (Oct 1, 2026) — plugins can modify deeper behavior via Claude Mods, and an opt-in "You Should Know" agent that watches for things you might miss.

Two practical takeaways from reading these: permission and sandbox behavior changes are the ones most likely to break an existing script, and model-picker additions (like Copilot CLI's GPT-6.1 Sol) are the ones most likely to change output quality without any change on your side.

Choosing by workflow

Match the tool to how you actually work rather than to feature lists.

  • You live in a terminal or work over SSH → start with a CLI agent. Claude Code, Codex CLI, Gemini CLI, and Copilot CLI all target this.
  • You want AI inside a visual editor with inline diffs → Cursor or Devin Desktop.
  • You are on AWS and want tight cloud integration → Kiro CLI is the vendor-aligned option.
  • You want a second opinion from a different model family → run a CLI agent from a different vendor than your editor.
  • You need headless or scripted runs → CLI tools are the only realistic fit; editor tools assume a GUI session.

There is no single "best" tool here. The honest selection rule is: pick the category that matches your interface, then pick the vendor that matches your existing stack, then verify against the changelog that the specific behaviors you depend on are stable.

Keeping up without checking nine sites

Release cadence across these tools is high — multiple versions per week is normal, as the October 1–3, 2026 window shows. Tracking each vendor's changelog separately gets stale fast.

Havoptic aggregates releases from Claude Code, OpenAI Codex CLI, Cursor, Gemini CLI, Kiro CLI, GitHub Copilot CLI, Devin Desktop, Antigravity CLI, and Grok Build in one timeline, updated daily via automated pipelines. Its "Tracked Tools" and "Recent Releases" sections are the fastest way to scan what changed and when.

A workable routine: check the aggregated timeline weekly, and read the full changelog only for the one or two tools you depend on daily. Pay particular attention to entries mentioning permissions, sandboxing, or certificate handling — those are the changes most likely to require action on your end.