# 8 AI Agents for Coding in 2026: Claude Code, Codex, and More > A review of 8 AI coding tools for 2026: Claude Code, Cursor, Codex, Antigravity, and others. Comparison by key criteria and who each one is suited for. Source: https://ailoot.ai/blog/en/ai-coding-tools/ Canonical: https://ailoot.ai/blog/en/ai-coding-tools/ Language: en Publisher: Ailoot (https://ailoot.ai/) Translation: guide-024 Revision: sha256-a114807ad80f44f1c3bab3280d267a03d8484789b4af606c451a95918b51907e Over the past six weeks, the AI coding landscape has been completely reshaped. On May 19, 2026, Google unveiled the second version of Antigravity at I/O—a standalone desktop agent with five delivery surfaces. On May 18, Cursor released its own model, Composer 2.5—the first time a VS Code fork broke away from Anthropic and OpenAI to use its own engine (based on Moonshot AI’s Kimi K2.5). On May 21, OpenAI updated Codex CLI to 0.133.0 with Goal Mode enabled by default, Remote Computer Use, and a mobile version. Anthropic raised Claude Code’s weekly limits by 50% through July 13. Between these news stories, you’re sitting there trying to decide what to code with. Below are 8 tools that most vibe coders are using now: Claude Code, Cursor, OpenAI Codex, Google Antigravity, Windsurf, Devin, Replit Agent, and open-source alternatives. What’s inside each one, how much it costs, what regional access conditions apply, and what tasks each makes sense for. Information about working with Ailoot is available in the [documentation](https://ailoot.ai/docs/). ## AI Coding in 2026: What It Is and Why Vibe Coders Choose Different Stacks
Key points AI coding is a way to build products in which an AI agent writes the code while a person sets the task and checks the result. In 2026, there is no single “best” tool. There are categories: terminal agents (Claude Code, Codex CLI), IDE agents (Cursor, Antigravity), autonomous coders (Devin, Replit Agent), and open-source alternatives (Cline, Aider, OpenHands). The choice depends on whether you control your project yourself or work in someone else’s sandbox.
A year ago, most people building products with AI relied on Bolt, Lovable, and Replit. These were sandboxes: you write a prompt, get a working prototype, and everything is fine until you want to take the code for yourself. The picture is different now. You can choose from four categories: | Category | What it is | Examples | |----|----|----| | Terminal agents | CLI program that works in your file system through dialogue | Claude Code, Codex CLI | | IDE agents | A fork or proprietary editor with a built-in agent | Cursor, Windsurf, Antigravity, VS Code + Copilot | | Autonomous coders | You start a task, and the agent works independently in the background or in the cloud | Devin, Replit Agent, Anthropic Managed Agents | | Open-source CLI | Free alternatives to Claude Code and Codex | Cline, Aider, OpenHands | The boundaries between categories are blurring. Devin is now integrated into Windsurf and works as a local CLI. Antigravity 2.0 has a desktop app, CLI, and SDK. Codex is available as a local CLI, in ChatGPT Mobile, and as the Codex for Chrome browser extension. A vibe coder does not write code by hand, but also does not swallow generated code without checking it—they design the specification, oversee the plan, read diffs, and write tests. That is the main shift in 2026: an AI agent writes the code, while a person designs the specification and checks the result. All 8 tools below are about this—they differ only in how much you control the environment and how deeply the agent works without you. ## The 8 Tools at a Glance
Key points Eight tools of 2026 in one table: type, main model, price, and regional access conditions. Use it to quickly see which category each belongs to and what its main selling point is. Detailed reviews of each are in the sections below.
| Tool | Type | Main model | Price | |----|----|----|----| | Claude Code | Terminal agent | Opus 4.7 / Sonnet 4.6 | \$20-200/month | | Cursor | IDE agent | Composer 2.5 / Claude / GPT | \$20-200/month | | OpenAI Codex | Terminal + Mobile + Chrome | GPT-5.5 / 5.4 | \$20-200/month | | Google Antigravity 2.0 | IDE agent + CLI + SDK | Gemini 3.5 Flash / Pro | Free / AI Ultra \$100 | | Windsurf | IDE agent (business-focused) | Claude / GPT / Cascade | \$15-60/month | | Devin (Cognition) | Autonomous coder | Internal Devin model | \$500/month (Team) | | Replit Agent | Cloud IDE + autonomous agent | Claude / GPT | \$20-100/month | | Open-source (Cline / Aider / OpenHands) | Terminal CLIs | Any through your own API key | Free + API usage | Prices as of May 26, 2026. Limits and plans change periodically—check each provider’s official pricing before paying. Sources are listed in the [Sources](https://ailoot.ai/blog/en/ai-coding-tools/#sources) section below. A tip for anyone who’s nervous: you don’t have to choose one tool for life. Many vibe coders keep subscriptions to Claude Code (for serious projects) and Codex (for quick tasks) at the same time. That’s normal and costs about as much as one coffee a day. ## Claude Code: Ecosystem and a Practical Example
Key points Claude Code is Anthropic’s terminal agent, released in February 2025. By May 2026, it had become a full ecosystem: a VS Code extension, web version, mobile notifications, a plugin marketplace (opened May 23), and managed agents with long-term memory. Its greatest strength is predictability and working through dialogue. Its biggest weakness is that it costs more than autonomous alternatives and requires CLAUDE.md for stability.
What’s inside Claude Code in 2026: - Terminal agent: run `claude` in any folder; it reads the project and works through dialogue. - VS Code extension: the same capabilities inside the editor, with a panel on the side. - Mobile notifications: a long-running task finishes, and you get a notification. - Plugin marketplace (opened in May 2026): hundreds of plugins in Anthropic’s official repository, installed via `--plugin-url`. - Managed Agents with memory between sessions: start an agent in April, and it remembers the context in May. - Skills: your personal library of instructions that Claude applies automatically. - Plan Mode (`/plan`): ask it to make a plan before starting to write code. - `/goal` command (released May 11, 2026, v2.1.139): set a session goal, and a separate model checks when it has been reached. Sub-CLIs and integrations: - MCP servers for integrations with databases, APIs, and tools outside the CLI. - Hooks for running commands on events (see the [hooks guide](https://ailoot.ai/blog/en/claude-code-hooks/)). - Subagents for parallel work on different parts of a project. - Worktree—run several Claude Code instances simultaneously on different branches of one repo. Sonnet 4.6 is the everyday model, Opus 4.7 is for complex tasks, and Haiku 4.5 is for routine work. You can switch on the fly with `/effort` or specify one in the command. In May 2026, Anthropic temporarily raised weekly limits by 50% through July 13—see the [Anthropic blog](https://www.anthropic.com/news). Its strengths: - **Predictability.** By default, Claude Code asks permission before making changes. That’s annoying for the first two days and saves you every week after that—you don’t have to undo “why did it rewrite half the project by itself?” - **CLAUDE.md as a second brain.** A file with all the rules sits in the project root. The more detailed it is, the more consistently the agent works. [Full guide to CLAUDE.md](https://ailoot.ai/blog/en/claude-md-template/). - **Ecosystem.** Hooks, MCP, Skills, Subagents—four levels of control over the agent’s behavior. Its weaknesses: - **Expensive without optimization.** On Pro at \$20, you can burn through the daily limit in a couple of hours of careless work. The Second Brain architecture and Plan Mode address this—[full guide to saving your limits](https://ailoot.ai/blog/en/claude-code-token-limits-saving/). - **Learning curve.** Without CLAUDE.md and an understanding of context, a new user gets Claude hallucinations just like with any other agent. Who it suits: vibe coders building production products for 3+ months who value control and are willing to spend 2-3 days learning CLAUDE.md and Plan Mode. ## Cursor: What Makes Composer 2.5 Interesting and Who Is It For?
Key points Cursor is a VS Code fork with a built-in AI agent. The main news in May 2026 was the release of its own model, Composer 2.5 (released May 13, [Cursor blog](https://cursor.com/blog/composer-2-5)). This is the first attempt by a fork to break away from Anthropic and OpenAI. Composer 2.5 is built on Kimi K2.5 and costs about 10 times less than Opus 4.7. In May 2026, Cursor showed a demo in which hundreds of GPT-5.2 agents built a fully functional browser in a week without people.
Cursor is the choice for people who prefer an IDE with an agent on the side over an agent in the terminal. Inside is the same VS Code (a fork), plus a chat panel on the right, agent mode, and Cursor Tab autocomplete. It’s convenient for those used to an editor who don’t want to retrain for a CLI-only setup. In early 2026, Cursor showed a demo in which its cloud agents worked on a complex project for a week without human intervention—such capacity demonstrations have become a marker of 2026 tools. Composer 2.5 is the big news in May. Cursor used to be a wrapper: it used Claude or GPT APIs through its own billing, with a markup. Since May 18, 2026, Cursor has offered its own model based on Moonshot AI’s Kimi K2.5. It costs \$0.50 per million input tokens and \$2.50 per million output tokens—about 5-10 times cheaper than Opus 4.7 (\$5/\$25) on typical tasks. On the SWE-Bench Multilingual benchmark, Composer 2.5 scored 79.8%, almost matching Opus 4.7 (80.5%) at a tenth of the price. Source: [Cursor blog](https://cursor.com/blog/composer-2-5). What’s inside: - Cursor Tab (autocomplete, predicts the next lines). - Composer (agent mode for multi-step tasks). - Chat (dialogue with a model using project context). - Bugbot (automatic PR review, updated in May with a new billing model). - Background agents (on Cursor servers). - MCP servers and plugins. Models: - Composer 2.5 (its own, primary model)—fast and inexpensive. - Claude Opus 4.7, Sonnet 4.6. - GPT-5.5, GPT-5.4. - Gemini 3.5 Pro. - You can switch between them in one menu for a single request. Its strengths: - **Familiar interface.** If you’ve worked in VS Code, the transition takes 10 minutes. - **Composer 2.5 is noticeably cheaper** for routine work than Opus 4.7 (5-10 times, depending on the task). Good for long sessions and autocomplete. - **Bugbot for teams.** Automatic PR review on a working build: every PR gets comments before you’ve read it yourself. Its weaknesses: - **Double dependency.** Cursor sits between Anthropic and OpenAI, and now also depends on its own model. If it raises the price of Composer, users have no alternatives within Cursor. - **Billing through its own token account.** When Cursor uses Claude or GPT, the tokens go through Cursor, not directly. That’s convenient for a single bill, but costs more with intensive use. - **Composer 2.5 is still rough around the edges.** It still falls behind Opus 4.7 on technically complex tasks. According to benchmarks, it is suitable for 70% of everyday work, but not for architectural decisions. Who it suits: vibe coders who want an IDE with an agent and don’t want a terminal, and are willing to pay \$20-40/month for convenience. For people working in a team, Bugbot seriously automates review. ## OpenAI Codex: What’s Inside After the May 2026 Releases
Key points Codex is an OpenAI agent with four delivery surfaces: CLI 0.133.0 (released May 21, 2026, Goal Mode enabled by default, 138 changes), ChatGPT Mobile (through a Mac host), the Codex for Chrome extension, and Cloud Agents through the API. It starts at ChatGPT Plus \$20. On routine tasks, it uses about 4 times fewer tokens than Claude Code thanks to more aggressive caching. On the SWE-bench Verified benchmark, GPT-5.5 scored 88.7%—the leaderboard leader in May 2026, 1.1% above Opus 4.7 (87.6%). Its main strength is autonomy: give it a task, and the agent works it through to completion in a sandbox.
Codex is covered in detail in a [separate guide](https://ailoot.ai/blog/en/codex-vs-claude-code-choice/). Here is a quick summary for the comparison. What Codex offers in May 2026: - **Codex CLI 0.133** (released May 21, 2026): local terminal agent. Goal Mode moved from preview to GA: set a session goal, and the agent keeps running until it reaches it. - **ChatGPT Mobile with Codex**: start a task from your phone; the agent works in the cloud, and you can check the result whenever convenient. - **Codex for Chrome**: an extension that gives Codex access to open tabs—it reads pages, fills forms, and takes screenshots. - **Remote Computer Use**: the agent controls a browser in the cloud—it can visit a site, navigate, click, and fill forms. - **Cloud Agents API**: launch Codex as a background service in OpenAI’s cloud. Models and reasoning: - GPT-5.5 (top-tier, expensive)—\$125 input / \$750 output per 1M tokens. - GPT-5.4 (everyday, cheaper)—a selectable model. - GPT-5.3 Codex (specialized for coding). - `/effort` with levels `minimal/low/medium/high/xhigh`. Its strengths: - **Autonomy.** By default, Codex works in a sandbox and pushes through to a result. It doesn’t ask unnecessary questions and puts what it couldn’t do in `TODO`. - **Mobile access.** Starting a task from your phone is genuinely convenient when you’re on the road. - **Cheaper for routine work.** Thanks to caching and more compact models, routine work costs 3-4 times less. - **Chrome integration.** If you work with web pages, forms, or automation scripts, Codex for Chrome comes in handy. Its weaknesses: - **Less control.** Codex works faster, but if it goes in the wrong direction, it’s harder to roll back. - **AGENTS.md is younger than CLAUDE.md.** There is a system of instructions, but fewer plugins and Skills than Claude has. Who it suits: people who want an AI agent that works “on its own,” without constant dialogue. Good for automation, background tasks, and working on mobile. ## Google Antigravity 2.0: Is It Worth Switching from Claude Code?
Key points Antigravity 2.0 is Google’s agent-first platform, launched at I/O on May 19, 2026. It includes a standalone desktop app, CLI `agy`, SDK, and Managed Agents API. It runs on Gemini 3.5 Flash. On the Terminal-Bench 2.1 benchmark, it scored 76.2%—4% higher than Claude Code on the same task. Its main feature is parallel agent work, with agents returning artifacts (plans, screenshots, browser videos). Its main problem is the forced migration from Gemini CLI to Antigravity CLI and its lower maturity than Claude Code. A detailed review is in a [separate guide](https://ailoot.ai/blog/en/google-antigravity/).
Antigravity 2.0 was the biggest news in AI coding in May 2026. Google showed it at I/O on May 19, and in the first 24 hours the @antigravity tweet received tens of thousands of bookmarks—a concrete measure of “saved for later.” This is a strong signal that the product interests professionals. What’s inside Antigravity 2.0—five delivery surfaces: - **Standalone desktop app.** It isn’t a code editor in the classic sense—the interface is centered on an agent panel. The editor is on the side. macOS / Windows / Linux. - **CLI `agy`** is written in Go—the terminal equivalent: run `agy` in a folder, and the agent works. - **SDK for integration** into your own products. - **Managed Agents API** inside the Gemini API: server-side agents with memory. - **Enterprise deployment path** for business customers. - **Unique feature**—a built-in Chromium browser (Browser Subagent) that actually uses the application during development: clicks buttons, fills forms, takes screenshots, and debugs. The main idea: “don’t write code, orchestrate agents.” In a traditional IDE, the editor is at the center. In Antigravity, the control panel is at the center, where agents work in parallel and return artifacts: plans, screenshots, browser videos, and ready pull requests. Its strengths: - **Google’s momentum and pace.** At I/O, Google announced AI Ultra at \$100/month, with a fivefold Antigravity limit. - **Gemini 3.5 Flash is optimized for Antigravity**—“12x faster than other frontier models” (Google at I/O 2026). - **Parallel agent work.** You can give it a task, close the app, and the agent will finish on its own. - **There’s a free plan.** Basic access without a subscription lets you try it without paying. Its weaknesses: - **Forced migration from Gemini CLI → Antigravity CLI.** Those who worked with the old Gemini CLI are now being forced to switch. Not everyone likes it. - **Less mature than Claude Code.** Its plugin and MCP server ecosystem is younger. Who it suits: people who want to try the new “agents at the center” approach, and those already in the Google ecosystem (Workspace, GCP). It should not be chosen as the main tool while the product is less than a year old. ## Windsurf + Devin: The Benefits of Autonomous Agents in an IDE
Key points Windsurf is an IDE from Codeium focused on enterprise and autonomy. In May 2026, Cognition (the creators of Devin) integrated Devin into Windsurf and also released Devin Local CLI. This is a rare example of an autonomous coder living directly in an IDE—the agent works in the background, and you return 30 minutes later to find a ready pull request. Prices start at \$15/month for individuals and \$60/month for enterprise.
Windsurf was originally a VS Code fork from Codeium—a Cursor competitor. Its main feature is Cascade Flow: an agent mode that works “in the flow,” without requiring constant confirmation of every action. In December 2025, Cognition (the creators of Devin) acquired Codeium, and Windsurf became part of its ecosystem. Cognition is now valued at \$25 billion and has around \$200 million in ARR. By May 2026, Devin was integrated directly into Windsurf: - Devin lives as a panel inside Windsurf. - You set a task, and Devin goes to work in the cloud. - Windsurf shows progress in real time: the current branch, open files, and completed commands. - The finished result arrives as a PR in git. Devin Local CLI was released in parallel—you can run Devin locally, without Windsurf, through the terminal. Models: - Windsurf Cascade (its own orchestration model). - Claude Opus 4.7, Sonnet 4.6. - GPT-5.5, 5.4. - Devin internal model. Its strengths: - **Autonomy with visibility.** Devin works by itself, but you can see what it’s doing in real time. This eases the fear of “losing control.” - **IDE + autonomous work = a rare combination.** Usually, you get one or the other. - **Enterprise features.** SSO, activity log, role-based permissions—the things teams need and individuals don’t. Its weaknesses: - **Price for individuals.** The \$15/month basic Windsurf plan plus \$500/month for Devin Team is not for a solo vibe coder. - **Too many features.** If you don’t need enterprise features, 80% of the interface is unnecessary. - **Steeper learning curve than Claude Code.** Who it suits: teams of 5+ building a serious product, and those who want Devin’s autonomy without moving to a fully cloud-based workflow. ## Replit Agent: What to Choose If You Work in a Browser
Key points Replit is a cloud IDE with an agent that runs entirely in the browser. It doesn’t require installing a local editor. Its main strength is simplicity for beginners: open a tab, set a task, and get a working website. Its main weakness is that everything is locked inside Replit, making it hard to take the project with you. It costs \$20/month (Core, discounted with annual billing) or \$100/month (Pro).
Replit is the choice for people who are nervous about installing VS Code, Node.js, Git, and figuring out the CLI. Open it in a browser, see an editor with an agent on the side, set a task, and get a working prototype in 10-15 minutes. Replit Agent in 2026: - Cloud IDE (everything in the browser). - Agent panel for assigning tasks. - Built-in AI models: Claude, GPT, Llama. - One-click deployment (Replit Deployments). - Postgres database out of the box. - Authentication and payments through ready-made modules. Its strengths: - **No setup.** Open a browser and start working. No need to install VS Code, Node, or Git. - **One-click deployment.** Get a working site with a `*.replit.app` domain in a couple of clicks. - **Good for prototypes.** Ideal for testing an idea over a weekend. Its weaknesses: - **Sandbox.** The project lives inside Replit. You can take it with you, but you’ll have to set up the database, secrets, and deployment again. - **Expensive for long-term work.** \$20-100/month for one person, plus resources (CPU, memory, disk)—you quickly exceed the limit. Who it suits: beginners who want to try vibe coding without installing anything, and people building a weekend prototype. It is less convenient for teams, where IDEs and code control matter more than simplicity. ## Open Source: Cline, Aider, OpenHands—When to Choose Them Over Paid Tools
Key points Cline (formerly Claude Dev), Aider, and OpenHands are the three leading open-source CLI agents of 2026. All three are free and use your API key (Anthropic, OpenAI, or any provider). Their main strength is control over the agent software, model choice, and spending. Code privacy also depends on where the selected model processes requests. Their main weakness is a smaller ecosystem (plugins, MCP servers) and a steeper learning curve.
If you don’t want to pay \$20-200/month for a subscription and are willing to figure out the setup, open-source alternatives do the same thing. **Cline** ([github.com/cline/cline](https://github.com/cline/cline))—a VS Code extension, with 58 thousand stars on GitHub and an agent with an auto-approval mode for long sessions. Use your own Anthropic or OpenAI API key. It works reliably with Claude Sonnet 4.6 and Opus 4.7. **Aider** ([github.com/Aider-AI/aider](https://github.com/Aider-AI/aider))—a terminal agent with 41.6 thousand stars, focused on working with git. Every change is made in a separate commit, keeping history clean. The best choice for those who value git discipline. **OpenHands** ([github.com/All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands), formerly OpenDevin)—an autonomous coder and open-source counterpart to Devin, with 74,400+ stars on GitHub. It works in a Docker container, can run commands, test code, and create PRs. Its strengths: - **Free.** You only pay for the API if you use Anthropic or OpenAI. - **Control over spending.** You choose the model and see every request. - **Open source.** You can fork, customize, and use it on closed corporate projects. - **No dependence on a plan.** If Anthropic raises prices, you can switch to OpenAI or Gemini in a minute. Its weaknesses: - **Smaller ecosystem.** Plugins and MCP servers exist, but there are fewer of them and they are less mature. - **You assemble the stack yourself.** No one tells you “which settings are optimal”—you choose everything yourself. - **You need to keep API keys in `.env`.** Secret management is up to you. Who it suits: experienced developers who value flexibility and teams that need to control their agent environment. If code must not leave the corporate network, the model must also run there or behind an explicitly approved private endpoint. ## Comparison Across 5 Parameters: Price, Limits, Learning Curve, Ecosystem, Control
Key points A comparison table across 5 parameters so you can compare the tools using the same criteria. Prices are as of May 26, 2026; check the provider’s pricing before paying.
| Parameter | Claude Code | Cursor | Codex | Antigravity | Windsurf | Devin | Replit | Open-source | |----|----|----|----|----|----|----|----|----| | Starting price | \$20 | \$20 | \$20 | Free | \$15 | \$500 | \$25 | \$0 + API | | Learning curve | Medium | Low | Medium | Medium | Medium | Low | Low | High | | Initial limits | Good | Sufficient | Good | Free | Good | Unlimited | Sufficient | Unlimited | | Ecosystem maturity | High | High | Medium | Low | Medium | Low | Medium | Medium | | Code control | Full | Full | Full | Full | Full | Through PR | Sandbox | Full | Definitions: - **Price**—the starting subscription cost per month. - **Learning curve**—the time from installation to the first result. - **Initial limits**—how much work fits in the basic plan. - **Ecosystem maturity**—availability of plugins, MCP, documentation, and guides that readers can understand. - **Code control**—whether you can take the project with you or it lives in someone else’s sandbox. ## Which Tool for Which Task: 5 Scenarios for Different Needs
Key points To help with the choice, here are 5 typical scenarios. If your task resembles one of them, choose the recommended tool.
**Scenario 1: “I want to try vibe coding over a weekend”** Choose Replit Agent or Cursor with a free trial. Minimal setup, quick results. If you like it, move on to a serious tool. **Scenario 2: “I’m building a production product for 3+ months”** Claude Code or Cursor with a subscription. Code is under your control in your git repository. Plugin and MCP ecosystem. CLAUDE.md / AGENTS.md as the project’s Second Brain. **Scenario 3: “I’m building automations and background tasks”** Codex + Goal Mode or OpenHands if you want open source. Start a task, and the agent works it through on its own. **Scenario 4: “I work on a serious product in a team of 5+”** Windsurf + Devin for enterprise features (SSO, activity log), or Cursor with Bugbot for automatic review. Team management matters more than the price of an individual subscription. **Scenario 5: “Privacy is critical; it’s a corporate project”** Run OpenHands in Docker inside the corporate network and choose the model endpoint according to the actual rule. If code must stay inside that network, use a locally hosted model or an approved endpoint whose processing boundary satisfies that requirement. A cloud Anthropic, OpenAI, or Azure endpoint still receives the prompts and code sent for inference; hosting the agent locally only separates the agent operator from the model provider. ## Example of a Working Stack and Why It Was Chosen
Key points In the described practical example, the main stack throughout the year was Claude Code + VS Code. Codex is used in parallel for quick tasks and automations. After trying Antigravity and Cursor, Claude Code was chosen because of its mature ecosystem and its support for using CLAUDE.md as the project’s Second Brain.
The stack in this example: - **Main tool**: Claude Code in the terminal + the Claude Code extension for VS Code. - **Parallel tool**: Codex CLI for quick tasks where control of every step is not critical. - **Editor**: VS Code (native, not Cursor or Antigravity). - **Project architecture**: CLAUDE.md + a folder with the project knowledge base as its [Second Brain](https://ailoot.ai/blog/en/claude-code-second-brain/) + a folder with the author’s rules and tone. - **Long tasks**: Plan Mode (`/plan`) + Goal (`/goal`) + Subagents. Why this setup: 1. **VS Code + Claude Code, not Cursor.** Cursor is a VS Code fork tied to its billing. This choice reduces dependence on whether Cursor raises its price in 6 months. 2. **Claude Code, not Codex, as the main tool.** In this example, predictable dialogue matters more than sandbox autonomy: complex architectural decisions are made through dialogue, not delivered as a ready pull request. 3. **Codex as a parallel tool.** When you need to “run a formatter,” “apply a regex across a hundred files,” or “do routine refactoring,” Codex with Goal Mode handles it faster. 4. **Antigravity and Replit are for experimentation, not production projects.** Antigravity is conceptually interesting, but in this example, switching to it was considered premature. Replit’s sandbox does not meet the architectural requirements of a serious product. This is not the best choice for everyone. It is a choice for the described working style. If you’re just starting out, try several and choose what suits you. ## 3 Mistakes When Choosing a Tool and How to Avoid Them
Key points In the described experience of working with different tools over a year, three common beginner mistakes were noted. They’re easy to avoid if you know about them in advance.
**Mistake 1: chasing the newest tool.** Every month, a “Claude Code killer” comes out. Antigravity 2.0, Composer 2.5, Devin Local CLI—all promise to “change the game.” If you switch every month, your project won’t get anywhere. Choose one primary tool and use it for at least 3 months. Try alternatives in parallel as experiments, not as replacements for your main tool. **Mistake 2: choosing by price instead of by use case.** “Open source is free, so I’ll use that.” Open source requires you to figure out the setup, choose a model, and manage API keys. If you’re not a developer and just want a result, Claude Pro at \$20/month will pay for itself in the first week of work. **Mistake 3: trying to use a tool without a methodology.** The most powerful tool in the hands of someone who does not understand context, a second brain, and a plan produces garbage faster than usual. Every agent needs: - A Second Brain (a knowledge structure for the project in `CLAUDE.md` or its equivalent). - Plan Mode (a plan before writing code). - Context engineering (understanding what to put in the agent’s context). Without these three things, Opus 4.7 in Claude Code will work worse than Sonnet 4.6 in the hands of someone with a project architecture. See the detailed guides to [context engineering](https://ailoot.ai/blog/en/context-engineering/) and [setting up CLAUDE.md](https://ailoot.ai/blog/en/claude-md-template/). ## Which AI coding tools should I start with?
Key points If you’re just getting into vibe coding, choose Claude Code or Cursor and stick with it for 3 months. If you already have experience and want to optimize your stack, choose tools for your 5 scenarios. Follow Anthropic, OpenAI, and Google announcements too—the landscape is reshaped every 6 weeks.
**If you’re just starting out:** 1. Install VS Code + Claude Code (or Cursor if you want an IDE-only setup). 2. Get Claude Pro at \$20/month for one month—that’s enough to try it. 3. Learn Plan Mode, CLAUDE.md, and your first Skill. 4. Pick one project and see it through to a result (don’t jump to another tool). 5. Reassess your stack after 3 months. **If you already have experience:** 1. Check your stack against the 5 scenarios in the previous section—are any missing? 2. Get a second tool for parallel work (Codex as a background tool, OpenHands for private tasks). 3. Connect MCP servers and Skills for your recurring tasks. **To avoid getting stuck:** - Once a month, check the Anthropic, OpenAI, and Google blogs for announcements. - Once a quarter, try one new tool for 2-3 days (not a week—that’s enough). - Don’t switch to a new tool in the middle of a project—the context transfer will cost you days.
### Sources - [Claude Code docs](https://code.claude.com/docs/en/overview) - [Claude Code changelog](https://code.claude.com/docs/en/changelog) - [Cursor Composer 2.5 blog](https://cursor.com/blog/composer-2-5) - [OpenAI Codex pricing](https://developers.openai.com/codex/pricing) - [OpenAI Codex prompting guide](https://developers.openai.com/cookbook/examples/gpt-5/codex_prompting_guide) - [Google Antigravity 2.0 launch (I/O 2026)](https://blog.google/innovation-and-ai/sundar-pichai-io-2026/) - [Google I/O 2026 keynote](https://blog.google/innovation-and-ai/sundar-pichai-io-2026/) - [Windsurf blog](https://windsurf.com/blog) - [Cognition Devin blog](https://cognition.ai/blog) - [Replit Agent docs](https://docs.replit.com/replitai/agent) - [Cline GitHub](https://github.com/cline/cline) - [Aider GitHub](https://github.com/Aider-AI/aider) - [OpenHands GitHub](https://github.com/All-Hands-AI/OpenHands) - [Anthropic news (SpaceX + 50% rate limits)](https://www.anthropic.com/news)
Get to know [Ailoot](https://ailoot.ai/). ## Questions about What to Code With in 2026: 8 AI Tools from Claude Code to Antigravity ### Does a locally hosted open-source agent keep all code local? Only if its model processing stays within the required boundary too. A local agent using a cloud model still sends selected prompts and code to that model provider. Choose the agent host and model endpoint separately. ### How should I choose my first AI coding tool? Match one real task to the environment you need: browser convenience, an editor, a terminal, or background work. Complete one project with that tool before adding a second; compare setup effort and control as well as subscription price. ## Ailoot · The company and its project portfolio Ailoot combines established operating experience, a large client base, stable service and ongoing KPI control. The company and its project portfolio: millions of customers; monthly sales in the billions. Ailoot brings that operating experience to API access for AI features in customer products, agents, applications and automations.