Seven AI Code Editors, One Decision: A No-Nonsense Guide to Trae, Cursor, Kiro, Copilot, Codex, Windsurf, and Antigravity 2.0

!Trae — AI-powered IDE by ByteDance

I have been switching between AI code editors for the past few months. Not because I wanted to. None of them did everything right. Cursor was fast but expensive. Copilot was everywhere but shallow. Windsurf had a good agent but burned credits too fast. Then Trae showed up with a free tier that actually included premium models, and I had to rethink the whole stack.

I built real projects in each of these. Some of them made me faster. Some of them made me want to close my laptop.

Here is what I found.

The Quick Comparison

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Trae — The One That is Actually Free (Until It is Not)

Trae is built by ByteDance. It runs on top of VS Code, so all your extensions, keybindings, and settings carry over without any migration headache. That alone makes it the lowest-friction switch from regular VS Code.

The product now has two modes: IDE Mode (traditional code editor with AI) and SOLO Mode (autonomous agent that plans, executes, and delivers). SOLO is available as both a desktop app and a web version; you can delegate entire development workflows to it.

Builder Mode (in the IDE) scaffolds full projects from a description. SOLO Coder handles complex multi-step development with task planning and multi-agent orchestration. SOLO Builder generates complete applications from requirements. The two modes serve different workflows: IDE for hands-on coding, SOLO for delegation.

What works well: - Builder Mode and SOLO genuinely produce runnable multi-file projects from a description - SOLO Coder orchestrates multiple agents in parallel for multi-role collaborative workflows - Inline editing is fast: highlight code, tell it what to change, it diffs in place - Image-to-code: upload a design screenshot and it generates matching UI - The free tier includes premium models (Claude, GPT-4o, DeepSeek R1, Gemini) - At $10/mo for Pro, it is half the price of Cursor - SOLO available on web (no install needed) and desktop - Cloud tasks run autonomously, up to 2 concurrent on Lite, more on higher plans

What does not: - Telemetry and data practices have drawn scrutiny. ByteDance acknowledged that the IDE settings toggle only controls VS Code framework telemetry, not all data collection. A privacy mode exists for SOLO (see docs.trae.ai/solo/privacy-mode), but there is no Cursor-style Zero Data Retention guarantee on the IDE side. Teams with strict data sovereignty requirements should evaluate this carefully. - Codebase indexing is basic compared to Cursor's deep repo-wide understanding - Token-based billing can surprise users: complex SOLO sessions with frontier models consume tokens quickly - Linux support is still "coming soon" for the IDE (SOLO web works anywhere)

Pricing breakdown:

Token-based means your cost depends on what models you use and how long your conversations are. Simple completions are cheap. Long multi-file SOLO sessions with frontier models eat tokens fast. The Lite plan at $3/mo is genuinely useful for casual coding; no other tool offers a usable paid tier at that price. Annual billing drops Pro to $7.50/mo.

Who it is for: Students, solo developers, anyone who wants an agent-mode IDE without paying $20/mo. SOLO mode is particularly strong for building new apps from scratch: hand it requirements and come back to a working project.

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Cursor — The One Everyone Compares To

Cursor is the benchmark. It is a VS Code fork with AI deeply integrated, not bolted on as an extension. It has the most mature codebase understanding of any AI IDE.

Composer (their agent mode) can plan and execute multi-file changes, run terminal commands, and iterate on errors. Tab completion feels like it reads your mind after a few hours with a project. The model flexibility is real, too: you can plug in Claude, GPT, or bring your own API keys.

What works well: - Deepest codebase indexing: it actually understands how your repo fits together across files - Composer agent handles complex refactors well - Tab completion is the best in class, period - Model flexibility: Claude, GPT, or custom endpoints - Available on Mac, Windows, Linux - ZDR (Zero Data Retention) available on paid plans

What does not: - $20/mo for Pro is steep if you are a student or hobbyist - The free tier is genuinely limited; you hit the wall fast - Agent requests are metered even on Pro - "Premium" model access means the best models cost more of your quota - UI can feel heavy compared to vanilla VS Code

Pricing breakdown:

Cursor is the safest choice if budget is not a constraint and you want the deepest AI integration. But at $20/mo, you need to use it daily to justify the cost.

Who it is for: Professional developers and teams who live in their IDE 8+ hours a day and need the AI to understand large, complex codebases.

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Kiro — The One That Plans Before It Codes

Kiro is Amazon's entry. It takes a fundamentally different approach: instead of jumping straight to code, it makes you write a spec first.

Spec-driven development means you describe what you want, Kiro generates structured requirements (using EARS notation), creates an architecture design, and sequences implementation tasks, all before writing a single line of code. Then Autopilot executes the plan step by step.

Hooks are the other interesting feature: they trigger agents on file-save events. Save a component file and Kiro automatically updates tests, documentation, or related code. This is genuinely useful for keeping things in sync.

What works well: - Spec-driven flow forces you to think before you code, producing more maintainable output - Hooks automate the boring parts (test updates, doc generation) - Claude Sonnet 4.6 is the default model, with strong reasoning - Code OSS base means VS Code extensions work - Credit system is transparent: you can see exactly what each prompt costs - MCP support for connecting to databases, APIs, docs

What does not: - The spec-first approach feels slow when you just want to quickly try something - 50 free credits runs out in about an hour of active use - Some Reddit users report it as "the worst AI code editor" for simple tasks: it overcomplicates things that Cursor or Trae handle in one prompt - Still maturing, with rough edges in agent autonomy compared to Cursor Composer - The AWS login flow can confuse people who do not have AWS accounts (you do not need one, but the UI suggests otherwise)

Pricing breakdown:

One credit is roughly one prompt-response cycle. Complex tasks consume more. Sonnet 4 costs ~1.3× more credits than the "Auto" model which mixes cheaper models intelligently.

Who it is for: Teams that care about code quality and maintainability over speed. The spec-first workflow is great for production systems. Less great for prototyping.

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GitHub Copilot — The One Already in Your IDE

Copilot is the most widely installed AI coding tool because it plugs into VS Code, JetBrains, Neovim, Visual Studio, basically everything. You do not switch IDEs. You add it to the one you already use.

The recent agent mode upgrade lets you assign GitHub Issues directly to Copilot and it generates PRs autonomously. No other tool matches that workflow; it operates at the repository level, not just the file level.

What works well: - Available in every major IDE, no migration needed - Agent mode can be assigned Issues and creates PRs - Free tier is real: 2,000 completions + 50 chats monthly, no credit card - Deep GitHub integration (PR reviews, issue tracking, code search) - Enterprise tier includes Claude Opus 4.7 access - Copilot CLI for terminal completions

What does not: - Agent capabilities lag behind Cursor Composer and Trae Builder - The free tier's 50 chat messages per month disappears in a few days - Business tier at $30/user is expensive for what you get (300 premium requests) - Cannot switch to a different IDE base; you are always in someone else's editor - Code review quality is inconsistent

Pricing breakdown:

Who it is for: Anyone who does not want to switch IDEs and wants AI coding assistance as an add-on. Best if you already live in the GitHub ecosystem.

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Codex — The One That Runs in the Cloud

OpenAI's Codex has grown well beyond a CLI. It is now a full coding agent platform spanning a dedicated app, cloud delegation, IDE extensions (VS Code, Cursor, Windsurf, JetBrains), and a CLI. With GPT-5.3-Codex (released February 2026), it became the most capable agentic coding model OpenAI has shipped: 85% on SWE-bench Verified, state-of-the-art on Terminal-Bench.

The headline feature is Codex Cloud: delegate a task, and GPT-5.3-Codex works on it autonomously in a sandboxed cloud environment for up to 30 minutes. It can research, use tools, run tests, and come back with a completed PR. You can steer it mid-task without losing context.

What works well: - GPT-5.3-Codex is genuinely strong: 85% SWE-bench, frontier on multi-step tasks - Cloud delegation: hand off a task and go do other work - IDE extension works in VS Code, Cursor, Windsurf, and JetBrains - Kernel-level sandboxing in CLI mode (strongest isolation of any tool) - Automatic code review via GitHub integration - Can interact mid-task; steer the agent while it works - Included with ChatGPT Plus/Pro, no separate subscription

What does not: - Tied to ChatGPT subscription tiers, which makes pricing confusing - Cloud tasks have latency; not instant like local agents - No MCP support - Model locked to OpenAI (GPT-5.3-Codex, no Claude/Gemini option) - Full sandboxing only works on Linux - Usage limits are opaque and vary by plan

Pricing breakdown:

Codex is included in your existing ChatGPT plan; you do not pay separately. The $100/mo Pro tier currently offers double usage as a promo. API-key mode is also available for pay-per-token ($2.50/M input, $15/M output).

Who it is for: Developers already paying for ChatGPT Plus who want a strong coding agent without switching IDEs. The cloud delegation model is uniquely powerful for async workflows: hand off a task and come back to a PR.

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Windsurf — The One That Got Acquired (But Is Still Alive)

Windsurf had a wild 2025. OpenAI tried to acquire it for $3 billion; the deal collapsed due to IP tensions with Microsoft. Google then poached CEO Varun Mohan, co-founder Douglas Chen, and key R&D leaders in a $2.4 billion talent grab. Hours later, Cognition (the company behind Devin, the autonomous coding agent) swooped in and acquired what was left: the product, IP, brand, $82M ARR, 350+ enterprise customers, and hundreds of thousands of daily active users.

As of 2026, Windsurf is alive and actively developed under Cognition. It crossed one million active users. GPT-5.4 was added. LogRocket ranked it #1 among IDE-native tools in early 2026. The plan is to integrate Windsurf's IDE with Devin's autonomous agent capabilities: plan tasks in Windsurf, delegate to Devin, get results stitched back together.

Cascade is still their agent mode. It maintains context across multi-step tasks, previews changes before applying, and can deploy directly. SWE-1.5 remains their purpose-built coding model.

What works well: - SWE-1.5 is surprisingly good for coding-specific tasks, sometimes faster than Claude for refactors - Cascade agent handles multi-step tasks well with good context retention - Free tier refreshes daily and weekly (not a one-time monthly pool) - Unlimited inline edits and tab completions even on free - Now backed by Cognition's engineering (Devin integration coming) - Full Claude model access via the acquisition deal - JetBrains plugin now available

What does not: - Ownership uncertainty: acquired twice in months, with leadership departing for Google - $20/mo for Pro feels average, with no price advantage over Cursor - "Light usage allowance" on the free tier is vague; you do not know when you will hit the limit - Unclear how deeply Devin integration will change the product - The Max plan at $200/mo is hard to justify for individual developers

Pricing breakdown:

Who it is for: Developers who want a purpose-built coding model (SWE-1.5) and are betting on the Devin integration making this the strongest agent+IDE combo. The product is solid today; the question is what it becomes under Cognition.

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Google Antigravity 2.0 — The One That Killed Its Own IDE

Antigravity 2.0, announced at Google I/O on May 19, 2026, is a complete pivot. It is no longer an IDE. It is a standalone desktop application for orchestrating AI agents. Google stripped away the code editor and built a dedicated surface for managing multiple agents working in parallel across projects.

The original Antigravity IDE (launched November 2025) still exists as a separate download, but Google is removing the Agent Manager from it in an upcoming release, turning it into a purely agent-powered IDE while Antigravity 2.0 becomes the agent hub. Google recommends "dual-wielding": use Antigravity 2.0 alongside whatever IDE you prefer (Cursor, VS Code, the Antigravity IDE itself).

What is new in 2.0: - Standalone desktop app, not a VS Code fork or an IDE at all - Multi-agent orchestration: synchronous and asynchronous agent workflows - Native Git worktrees for agent isolation - Scheduled background cron tasks for agents - Antigravity CLI (replaces Gemini CLI; migration deadline June 18, 2026) - Antigravity SDK for building custom agents - Native voice command support - Powered by Gemini 3.5 Flash - Available on macOS, Linux, and Windows

What works well: - Multi-agent workflows for large codebases: refactoring, test generation, and docs simultaneously - Deep CI/CD pipeline integration via Gemini Enterprise Agent Platform on Google Cloud - Gemini 3.5 Flash is fast and capable for coding tasks - The separation from IDE means you keep your preferred editor - Antigravity CLI gives terminal-first developers a proper tool - Android/Firebase integrations for mobile developers

What does not: - Brand-new product (days old); expect rough edges - Historical "bait and switch" reputation from the original Antigravity IDE - Gemini CLI users forced to migrate by June 18, a short timeline - No VS Code extension yet (Google says "compatible extensions and plugins shortly") - Closed ecosystem: locked into Google's model choices - Community trust is still recovering from the r/GeminiAI "paperweight" era

Pricing breakdown:

Who it is for: Teams already deep in Google Cloud who want multi-agent orchestration as a separate tool alongside their existing IDE. The 2.0 launch is ambitious and architecturally sound, but it is two days old. Wait a month before making it load-bearing.

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The Full Feature Matrix

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What The Reddit Crowd Says

Real opinions from r/ChatGPTCoding, r/Trae_ai, r/kiroIDE, and r/google_antigravity:

On Trae:

"I found Trae to be best IDE for building apps with backend and frontend."

"Trae has the pro subscription for $10 for months and Cursor $20. What should I buy?"

The community generally agrees: Trae's Builder Mode is the best project scaffolding tool, and the price is right. The main complaints are ByteDance telemetry and the token billing change.

On Cursor:

"Cursor is the best because of its IDE." — meaning the codebase awareness, not just the AI.

People who work on large existing codebases consistently prefer Cursor. People who start new projects prefer Trae or Windsurf.

On Kiro:

"Kiro has been the worst AI code editor I have ever tried."

Harsh, but the context matters: Kiro's spec-first approach is overkill for simple tasks. For complex production systems, the same users acknowledge it produces better long-term code.

On Antigravity:

"I'm an AI engineer and a heavy user of Claude Code Pro, Cursor Pro, GitHub Copilot Pro, and Antigravity. Among them, I definitely choose Antigravity."

But also: the "paperweight" controversy. The quality varies a lot depending on which models Google routes your requests through on any given day.

On Copilot:

"Claude Code, and it wouldn't be close. It's far and away the best overall package for inexperienced hobbyists like me."

Copilot's strength is accessibility: it is in every IDE, it has a real free tier, and the GitHub integration is unmatched.

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How to Choose

You are a student or just starting out: Start with Trae Free or Trae Lite ($3/mo). Builder Mode will help you create full projects from descriptions, which is the fastest way to learn how app architecture works. The free tier includes premium models that cost $20/mo elsewhere.

You are a professional developer working on large codebases: Cursor Pro ($20/mo). Nothing else matches its codebase understanding. Tab completion alone pays for itself after a week.

You care about code quality and want AI that plans before it codes: Kiro Pro ($20/mo). The spec-driven workflow is annoying at first but produces significantly more maintainable output. Good for teams.

You do not want to switch IDEs: GitHub Copilot Pro ($20/mo) or Trae Plugin (in your existing VS Code or JetBrains). Copilot if you are in the GitHub ecosystem. Trae plugin if you want Builder Mode without leaving your current editor.

You are budget-conscious and need real AI coding daily: Trae Lite ($3/mo) — no other tool offers premium model access at this price. Monitor your token usage for the first week so the billing does not surprise you.

You want to delegate tasks and come back to finished work: Codex ($20/mo via ChatGPT Plus). Cloud delegation is unique: hand off a multi-step task, Codex works autonomously for up to 30 minutes, and returns with a completed implementation. Best if you already pay for ChatGPT.

You are a team with compliance requirements: Cursor Teams ($40/user) for ZDR and RBAC. Kiro Enterprise if you are in AWS. Copilot Enterprise ($39/user) if you are in GitHub.

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Pricing Summary Table

Trae's Lite at $3/mo is the only sub-$10 paid tier in the entire market. Copilot Pro dropped to $10/mo. Codex is included with ChatGPT Plus ($20/mo); if you already pay for ChatGPT, you get Codex at no extra cost.

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Getting Started with Trae (5 Minutes)

1. Download from trae.ai (Mac or Windows)
2. Install it. Your VS Code extensions, themes, and keybindings import automatically.
3. Open a project or start a new one
4. Press Cmd+I (Mac) or Ctrl+I (Windows) to open the AI panel
5. Type what you want to build. Builder Mode will break it into steps and execute.
6. Review the diffs at each step: accept, modify, or reject.

That is it. No API keys needed. No configuration. The free tier includes Claude, GPT-4o, and DeepSeek R1 access out of the box.

For the Pro trial: new users get 14 days of Pro for free. After that, you can downgrade to Free or switch to any paid plan ($3-100/mo). The Lite plan at $3/mo is enough for a few coding sessions per week.

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The AI IDE market changes monthly. Models get swapped, pricing shifts, features appear and disappear. What will not change is what makes a tool useful: does it understand your code, does it save you time, and does it get out of the way when you need to think. Pick the one that matches your workflow and budget, and switch if it stops working for you. None of these require long-term commitments.

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- Trae — Download - Cursor — Download - Kiro — Download - GitHub Copilot - Codex — OpenAI - Windsurf — Download - Google Antigravity 2.0

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Last updated: May 22, 2026