May 2026

AI Coding Tools Compared: The Definitive Guide After Antigravity 2.0

Google Antigravity 2.0 launched at I/O on May 19, 2026 — a full agent-first IDE with multi-agent orchestration, voice commands, and browser verification. Cursor shipped v3 with 8-agent parallelism. GitHub Copilot moved to usage-based billing. Every tool now has background agents. This is the vendor-neutral comparison of every major AI coding tool as the landscape stands in May 2026 — features, pricing, models, orchestration, and the decision framework for choosing what fits your workflow.

9
Major AI coding tools with agent capabilities
Compared in this guide
$10–200
Monthly cost range across all tools
Free tiers available on most
7 of 9
Now support background / autonomous agents
Up from 2 of 9 in January 2025

The May 2026 Landscape

Twelve months ago, "AI coding tool" meant autocomplete. Today it means autonomous agents that clone repos, write code, run tests, verify in a browser, and open pull requests — all while you sleep. Three shifts define the current moment:

Shift 1 — Agent-first IDEs

The IDE is now a control plane, not an editor

Google Antigravity 2.0 shipped an Agent Teams panel where you compose squads of sub-agents with explicit roles, each sandboxed, running in parallel. Cursor v3 runs up to 8 agents simultaneously with multi-repo execution. JetBrains Junie launched alongside the Air platform for multi-agent delegation. The IDE is no longer where you type code — it is where you supervise agents that type code.

Shift 2 — Background agents go mainstream

Seven of nine major tools now run agents asynchronously

GitHub Copilot’s Coding Agent creates PRs autonomously in cloud dev environments. OpenAI Codex runs cloud-based async tasks. Google Jules spins up a VM, clones your repo, works autonomously, and returns a PR. Kiro maintains persistent context across sessions. The only major holdout is Aider, which remains interactive by design.

Shift 3 — Pricing converges, then fragments

$20/mo is the new baseline — but power users pay 10x

Every tool offers a ~$20/month plan. But heavy agent usage blows past those limits fast. Claude Code Max goes to $200/month. Cursor Ultra costs $200/month. Antigravity AI Ultra tops out at $200/month. GitHub Copilot is moving to usage-based billing starting June 2026. The era of flat-rate AI coding is ending.

Key insight: The question is no longer "which tool should I use?" — it is "which combination of tools, coordinated how?" Most professional developers now use two or more AI coding tools. The orchestration layer — how you coordinate agents across tools — is becoming more important than any single tool. That is the problem amux solves.

Quick Comparison Table

Tool Type Starting price Primary model Background agents Multi-agent Open source
Antigravity 2.0 IDE + CLI Free / $20/mo Gemini 3.5 Flash Yes Yes CLI only
Claude Code CLI $20/mo Claude Opus 4.6 Yes Yes Yes
Cursor v3 IDE Free / $20/mo Multi-model Yes Yes (8x) No
GitHub Copilot IDE extension Free / $10/mo Multi-model Yes Yes No
OpenAI Codex CLI + Cloud $20/mo (Plus) GPT-4o / o3 Yes No Yes
Windsurf IDE Free / $15/mo SWE-1.5 Yes Emerging No
Kiro IDE $20/mo Claude (Bedrock) Yes Yes No
Aider CLI Free (OSS) Any model No No Yes
JetBrains Junie IDE plugin $10/mo (+ IDE) Multi-model Yes Yes No

Deep Dives: Every Tool

Google Antigravity 2.0

New at I/O 2026 IDE CLI: agy

Google’s agent-first IDE, launched at Google I/O 2026 on May 19. Built as a VS Code fork with AI agents woven into every surface. The Agent Teams panel lets you compose squads of sub-agents with explicit roles — each runs in its own sandbox, working in parallel. Built-in Chromium browser verification launches your app, screenshots multiple viewports, compares against design specs, and self-corrects. Native voice commands via Gemini Audio models.

Model: Gemini 3.5 Flash (1M-token context window, 65K max output). Also supports Gemini 3.1 Pro and Gemini 3 Flash.

Surfaces: Desktop app, CLI (agy), Python SDK, Managed Agents API, Enterprise Agent Platform.

Pricing: Free tier (~20 agent requests/day) • AI Pro $20/mo • AI Ultra $100/mo • AI Ultra Top $200/mo.

Replaces: Gemini CLI individual tier ends June 18, 2026. Migrate to agy.

Best for: Developers in the Google ecosystem (GCP, Firebase, Android Studio) who want an all-in-one agent IDE with browser verification, voice commands, and native multi-agent orchestration.

Claude Code

Anthropic’s terminal-native coding agent. Ships as a CLI that lives in your terminal alongside git, make, and your test runner. No IDE required. Runs as a single session or in parallel fleets via tmux/amux. Supports hooks (shell commands that fire before/after tool calls for hard enforcement), skills (on-demand context loading), subagents (delegation with scoped prompts), and persistent memory across sessions.

Model: Claude Opus 4.6 (default) and Claude Sonnet 4.6. 200K context window (1M token beta via API).

Pricing: Pro $20/mo • Max 5x $100/mo • Max 20x $200/mo • API pay-as-you-go.

Strengths: Deepest agentic reasoning (Opus 4.6 leads on complex multi-file refactors). Headless mode for CI/CD pipelines. Context engineering via CLAUDE.md, hooks, and skills. Git worktree isolation for parallel agents.

Best for: Terminal-native developers who want maximum agentic autonomy, need headless/CI integration, or are running multi-agent fleets via amux. The strongest choice for complex architectural reasoning.

Cursor v3

IDE

The most popular AI-first IDE. Cursor v3 (April 2026) rebuilt the editor around agents — inline diff preview, background agent handoff, and up to 8 parallel agents with multi-repo execution. Offers the widest model selection of any tool: Claude Opus 4.6, Claude Sonnet 4.5, GPT-5.1/5.2/5.3, GPT-4o, and Gemini 2.5 Pro, with automatic model routing in Auto mode.

Pricing: Hobby (free, limited) • Pro $20/mo • Pro+ $60/mo • Ultra $200/mo • Teams $40/user/mo.

Strengths: Best model flexibility (switch between Claude, GPT-5, and Gemini mid-session). Visual diff preview before accepting changes. Tab completions + inline chat + agent mode in one IDE. Largest user community.

Best for: Developers who want a visual IDE experience with the widest model selection and strong multi-agent support. The "it just works" choice for teams transitioning from VS Code.

GitHub Copilot

IDE extension

The most widely deployed AI coding tool. Now supports four agent types: Local (in-editor), Background (CLI, local-to-cloud handoff), Cloud (Coding Agent creates PRs in cloud dev environments), and Sub-Agents. Agentic code review can hand off to the Coding Agent automatically. Supports both Claude (Opus 4.5, 4.6, Sonnet 4.5, 4.6) and GPT models. Moving to usage-based billing June 2026.

Pricing: Free (limited) • Pro $10/mo (includes $10 credits) • Pro+ $39/mo • Business $19/user/mo • Enterprise $39/user/mo.

Strengths: Deepest GitHub integration (issues, PRs, Actions, code search). Largest existing user base. Most natural for teams already on GitHub Enterprise. Agentic code review → Coding Agent pipeline.

Best for: Teams deeply invested in GitHub who want seamless issue-to-PR-to-review automation. The path of least resistance for enterprises already on GitHub.

OpenAI Codex

OpenAI’s open-source CLI agent. The Codex CLI (67K+ stars, Apache 2.0, written in Rust) runs locally with cloud-based async task execution. Included with ChatGPT Plus ($20/mo), Pro ($200/mo), and Business/Enterprise plans.

Model: GPT-4o, o1, o3-mini, and other OpenAI models. The CLI itself is model-agnostic in practice.

Strengths: Open source with massive community (400+ contributors). Cloud agents for async work. Strong integration with OpenAI’s broader ecosystem (Assistants API, function calling).

Best for: Developers already in the OpenAI ecosystem or teams that want an open-source CLI agent with cloud execution. Good complement to ChatGPT workflows.

Windsurf (by Cognition)

IDE

Formerly Codeium, acquired by Cognition (makers of Devin) in December 2025. The Cascade flow system provides agentic intelligence within the IDE, and integration with Devin brings autonomous agent capabilities. Proprietary SWE-1.5 model claims 13x faster inference than Claude Sonnet 4.5. Unique Codemaps feature for codebase-wide semantic understanding.

Pricing: Free (limited) • Pro $15/mo (500 credits) • Teams $30/user/mo • Enterprise $60/user/mo.

Best for: Developers who want the lowest-cost IDE option with fast inference, or teams interested in the Windsurf + Devin autonomous pipeline.

Kiro (by AWS)

IDE

AWS’s AI coding IDE. Runs Claude models via AWS Bedrock. The autonomous agent works across multiple repositories, maintains persistent context between sessions, and learns from code review feedback. Spec-driven development workflow: write a spec, Kiro generates an implementation plan, then executes it.

Pricing: Pro $20/mo • Additional credits $0.04 each.

Best for: Teams on AWS who want Claude-powered agents with Bedrock integration, persistent context, and spec-driven development workflows.

Aider

CLI Open source • 44K+ stars

The model-agnostic open-source CLI. Works with Claude, GPT, Gemini, DeepSeek, Llama, and 20+ other models including local ones. Completely free — you pay only for LLM API tokens. Interactive by design: waits on each prompt, keeps a human at the keyboard. No background agents, no autonomous execution.

Pricing: Free (open source). API tokens: $5–20/mo (light use with Sonnet) to $50–200+/mo (heavy use with Opus).

Best for: Developers who want full control over model choice and cost, prefer interactive (non-autonomous) AI pair programming, or need to run local/self-hosted models for privacy.

JetBrains Junie + JetBrains AI

IDE plugin

JetBrains’ autonomous coding agent, launched January 2026. Plans and executes multi-step actions within IntelliJ, WebStorm, PyCharm, and other JetBrains IDEs. The Air platform is a multi-agent development environment supporting Claude Code, Codex, and Antigravity CLI alongside Junie.

Pricing: AI Pro $10/mo • AI Ultimate $30/mo • AI Enterprise custom • Plus separate IDE license.

Best for: Teams already on JetBrains IDEs (IntelliJ, PyCharm, WebStorm) who want agent capabilities without switching editors. The Air platform is compelling for multi-tool orchestration within JetBrains.

Feature Matrix

Feature Antigravity Claude Code Cursor Copilot Codex Windsurf Kiro Aider Junie
Inline completions YesNoYesYesNoYesYesNoYes
Agent mode YesYesYesYesYesYesYesYesYes
Background agents YesYesYesYesYesYesYesNoYes
Multi-agent (parallel) YesYes*8 agentsYesNoPartialYesNoYes
Visual diff preview YesNoYesYesNoYesYesNoYes
Browser verification Built-inVia MCPNoNoNoNoNoNoNo
Voice commands YesNoNoNoNoNoNoNoNo
Headless / CI mode CLIYesNoActionsYesNoNoYesNo
Git worktree isolation NoYesPartialNoNoNoNoNoNo
Custom hooks / rules SettingsHooks + rules.cursorrulescopilot-instructions.mdConfigRulesSpecsConfigConfig
MCP support YesYesYesYesYesYesYesNoYes
Open source CLI onlyYesNoNoYesNoNoYesNo

* Claude Code multi-agent via tmux/amux sessions with shared board coordination. No built-in agent count limit.

Pricing Comparison

The table below shows the real cost at each usage tier. "Power user" assumes 4–8 hours of daily agent interaction.

Tool Free tier Standard Power user Team / Enterprise
Antigravity ~20 req/day $20/mo (AI Pro) $100–200/mo (AI Ultra) Enterprise Agent Platform
Claude Code $20/mo (Pro) $100–200/mo (Max) $100–125/seat/mo (Team)
Cursor 2K completions $20/mo (Pro) $60–200/mo (Pro+/Ultra) $40/user/mo (Teams)
Copilot Limited $10/mo (Pro) $39/mo (Pro+) $19–39/user/mo
Codex $20/mo (Plus) $200/mo (Pro) Enterprise pricing
Windsurf Limited $15/mo (Pro) $15/mo (credit-based) $30–60/user/mo
Kiro $20/mo (Pro) $20/mo + credits TBA
Aider Unlimited (OSS) $5–20/mo tokens $50–200/mo tokens Self-hosted
JetBrains AI 3 credits/30d $10/mo (+ IDE) $30–60/mo (+ IDE) Enterprise pricing
Hidden cost alert: Subscription prices are the floor, not the ceiling. Agents burn 50x more tokens than chat interactions. Re-sent context accounts for 50–62% of the bill. Code review time increases 91% under high AI adoption. Total cost of ownership — including review overhead, rework, and token waste — can be 2–3x the subscription price. See our ROI measurement guide for the full cost model.

Background Agents Compared

Background agents — AI that works on your code asynchronously while you do other things — are the fastest-growing feature category. Here is how each implementation works:

Tool Execution Sandboxing Output Async cloud
Antigravity Agent Teams panel Per-agent sandbox In-IDE + PR Yes
Claude Code Headless CLI / tmux Git worktree Terminal + commit Via amux
Cursor Background tab Local sandbox In-IDE diff Yes (v3)
Copilot Coding Agent Cloud dev environment Pull request Yes
Codex Cloud task runner Cloud VM PR / patch Yes
Windsurf Cascade + Devin Devin sandbox In-IDE + PR Yes
Kiro Autonomous agent Per-repo isolation PR Yes
Jules Dedicated cloud agent Cloud VM Pull request Yes

For a deeper analysis, see our Background Coding Agents Compared guide.

Multi-Agent Orchestration

Running one agent is pair programming. Running five in parallel is a development team. Here is how each tool handles multi-agent coordination:

Tool Max parallel agents Coordination method Isolation Shared state
Antigravity Configurable (Teams) Agent Teams panel Per-agent sandbox IDE workspace
Claude Code + amux Unlimited (tmux) Shared board + inter-session API Git worktree per session REST API (board, notes, CRM)
Cursor v3 8 Background agent tabs Local sandbox Workspace state
Copilot Multiple (agent types) Local + Cloud + Sub-Agents Cloud dev env GitHub (issues, PRs)
JetBrains Air Multiple Air multi-agent env Per-agent IDE project
The orchestration layer matters: Every tool above handles multi-agent within its own walls. But professional workflows often span tools — Claude Code for complex refactors, Cursor for quick edits, Copilot for PR automation. amux sits above individual tools as the orchestration layer: a shared kanban board, inter-session messaging, mobile PWA for monitoring, and a REST API that coordinates agents regardless of which tool each session runs. See our multi-agent orchestrator architecture guide for the full pattern.

AI Models Used

Tool Default model Other models available Context window Model-agnostic
Antigravity Gemini 3.5 Flash Gemini 3.1 Pro, Gemini 3 Flash 1M tokens Gemini only
Claude Code Claude Opus 4.6 Claude Sonnet 4.6 200K (1M beta) Claude only
Cursor Auto (routed) Claude Opus 4.6, Sonnet 4.5, GPT-5.x, GPT-4o, Gemini 2.5 Pro Varies by model Yes
Copilot Multi-model Claude Opus 4.5/4.6, Sonnet 4.5/4.6, GPT models Varies by model Yes
Codex GPT-4o o1, o3-mini 128K OpenAI only
Windsurf SWE-1.5 Claude, GPT, Gemini Varies Yes
Kiro Claude (Bedrock) Claude Opus, Sonnet, Haiku 200K Claude only
Aider User’s choice Any: Claude, GPT, Gemini, DeepSeek, Llama, local models Varies by model Yes
Junie Multi-model Claude, Codex, Gemini via Air Varies Yes

The Decision Framework

Instead of asking "which tool is best?", ask "what does my workflow need?" Here is the decision tree:

You want an all-in-one IDE with AI built in

You want a terminal-native agent (no IDE)

You want agents that work while you sleep

You want to run multiple agents in parallel

You just want to add AI to your existing VS Code

The Hybrid Stack: Using Multiple Tools Together

The most productive developers in 2026 do not pick one tool — they combine them. Here are the three most common stacks:

Stack 1: Claude Code + Cursor

Claude Code for complex, multi-file refactors and overnight autonomous work. Cursor for fast inline editing, visual diffs, and quick completions. amux coordinates Claude Code sessions in parallel while you use Cursor for the focused task at hand.

When to use: You are a senior developer who needs deep reasoning for architecture + fast completions for implementation. See our hybrid workflow guide.

Stack 2: Copilot + Claude Code

Copilot Coding Agent for automated PR creation and review. Claude Code for complex tasks that need terminal-native control. GitHub becomes the coordination layer for the handoff: Claude Code pushes a branch, Copilot reviews and iterates.

When to use: Your team is GitHub-first and wants automated review pipelines with deep agentic coding capabilities.

Stack 3: Antigravity + Claude Code + amux

Antigravity 2.0 for Google ecosystem work (Firebase, GCP, Android) with browser verification. Claude Code for everything else. amux as the shared dashboard: each tool runs in its own tmux session, the kanban board tracks what every agent is working on, and the mobile PWA lets you monitor from your phone.

When to use: You work across Google and non-Google stacks and need a unified control plane for agents from different ecosystems.
“The IDE is dead. Long live the control plane. The value is not in which agent writes the code — it is in how you coordinate the fleet.”

FAQ

Which AI coding tool is best for beginners?

GitHub Copilot is the easiest starting point — install the VS Code extension and you have inline completions immediately. Cursor is the next step up: it looks and feels like VS Code but with agent mode built in. Avoid terminal-native tools like Claude Code or Aider until you are comfortable with git, the command line, and reading diffs.

Can I use multiple AI coding tools at the same time?

Yes, and most professional developers do. The typical pattern: an IDE-based tool (Cursor or Antigravity) for interactive editing, plus a CLI agent (Claude Code or Codex) for background tasks, plus Copilot for automated PR review. amux coordinates multiple agent sessions from a single dashboard with a shared kanban board.

Is Google Antigravity free?

Antigravity has a free tier with approximately 20 agent requests per day, no credit card required. The AI Pro plan ($20/month, included in Google One AI Pro) removes rate limits. AI Ultra tiers at $100/month and $200/month provide significantly higher limits for power users. The CLI is open source.

What happened to Gemini CLI?

Google is replacing Gemini CLI with Antigravity CLI. The individual tier stops service on June 18, 2026. The Antigravity CLI (agy) is the direct successor, offering the same terminal-native workflow plus access to Agent Teams, the SDK, and Managed Agents. Enterprise Gemini CLI customers have a longer migration timeline.

How is amux different from these tools?

amux is not a replacement for any of these tools — it is the orchestration layer that coordinates them. Think of it as the control plane: each AI coding tool runs in its own tmux session, amux provides a shared kanban board for task tracking, inter-session messaging for agent-to-agent coordination, a web dashboard for monitoring, and a mobile PWA so you can check on your agent fleet from your phone. You might run 5 Claude Code sessions, 2 Cursor agents, and an Antigravity session, all coordinated through amux.

Which tool has the best AI model?

It depends on the task. Claude Opus 4.6 (used by Claude Code) leads on complex multi-file refactors and deep architectural reasoning. Gemini 3.5 Flash (used by Antigravity) offers the largest context window (1M tokens) and fast inference. GPT-5.x models (available in Cursor) offer strong general-purpose performance. Aider is fully model-agnostic if you want to pick your own. See our best AI model for coding guide for detailed benchmarks.

Should I switch from Cursor to Antigravity?

Not necessarily. Cursor v3 has broader model support (Claude + GPT-5 + Gemini), a larger community, and more mature agent features. Antigravity 2.0 has unique advantages: built-in browser verification, voice commands, and tighter Google ecosystem integration. If you are heavily invested in GCP/Firebase/Android, Antigravity is compelling. If you want model flexibility and a more established tool, stay with Cursor. Many developers will end up using both.

What about open-source alternatives?

Three strong open-source options: Aider (44K+ stars, model-agnostic CLI, interactive), OpenAI Codex CLI (67K+ stars, Rust, cloud agents), and Claude Code (open source on GitHub). For orchestration, amux is MIT-licensed. If privacy is a primary concern, Aider with a self-hosted model (via Ollama or LM Studio) runs entirely on your machine with zero data leaving your network.


Further Reading