{"id":733,"date":"2026-05-29T14:25:53","date_gmt":"2026-05-29T14:25:53","guid":{"rendered":"https:\/\/convly.ai\/claude-code-review-2026\/"},"modified":"2026-05-31T02:51:16","modified_gmt":"2026-05-31T02:51:16","slug":"claude-code-review-2026","status":"publish","type":"post","link":"https:\/\/convly.ai\/fr\/claude-code-review-2026\/","title":{"rendered":"Revue de code Claude (2026) : L'agent de terminal qui a remplac\u00e9 mon IDE"},"content":{"rendered":"<p>I switched from Cursor to <strong>Claude Code<\/strong> in August 2025 and never switched back. Nine months and several large codebases later, this is the unvarnished review of Anthropic&#8217;s terminal-native AI coding agent \u2014 what it does that nothing else does, where it still falls short, and whether the $20\/month Claude Pro plan is actually enough.<\/p>\n<div class=\"convly-tldr\">\n<h3>Principaux enseignements<\/h3>\n<ul>\n<li><strong>Best in class<\/strong> at multi-file refactors and long-running agentic tasks (10\u201330 min runs without breaking).<\/li>\n<li><strong>Terminal-native<\/strong> design beats IDE-bolted-on agents for anything that involves the shell, git, or build systems.<\/li>\n<li><strong>MCP ecosystem<\/strong> (200+ servers) makes it the only agent that meaningfully integrates with your existing tools.<\/li>\n<li><strong>$20\/mo Claude Pro plan<\/strong> is enough for most devs; heavy users will hit limits and need the $200 Max tier or API.<\/li>\n<li><strong>Loses to Cursor<\/strong> only on raw inline-completion speed and visual diff review.<\/li>\n<\/ul>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-flat ez-toc-counter ez-toc-container-direction\">\n<label for=\"ez-toc-cssicon-toggle-item-6a1c8edd00927\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a1c8edd00927\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#What_Claude_Code_actually_is\" >What Claude Code actually is<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#Pricing_%E2%80%94_and_what_each_plan_actually_buys_you\" >Pricing \u2014 and what each plan actually buys you<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#The_five_things_Claude_Code_does_better_than_anything_else\" >The five things Claude Code does better than anything else<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#The_three_things_it_still_gets_wrong\" >The three things it still gets wrong<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#Claude_Code_vs_the_alternatives\" >Claude Code vs the alternatives<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#Pros_and_cons\" >Pros and cons<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#Who_Claude_Code_is_for_%E2%80%94_and_who_it_isnt\" >Who Claude Code is for \u2014 and who it isn&#8217;t<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#Performance_after_9_months_of_real_use\" >Performance after 9 months of real use<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#FAQ\" >FAQ<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/convly.ai\/fr\/claude-code-review-2026\/#Bottom_line\" >R\u00e9sultat<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_Claude_Code_actually_is\"><\/span>What Claude Code actually is<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A CLI tool you install with <code>npm install -g @anthropic-ai\/claude-code<\/code> (or via the official installer) that gives you an interactive AI coding agent inside any terminal, in any directory, with full access to your shell, file system, and git history.<\/p>\n<p>It is not an IDE plugin. It does not have a UI of its own beyond the terminal. It does not need an editor \u2014 though it integrates with VS Code, JetBrains, and Neovim if you want. You type natural language; it edits files, runs commands, reads logs, opens git diffs, and iterates until the task is done.<\/p>\n<p>The model behind it is Claude Sonnet 4.7 by default (Opus 4.6 \/ 4.7 on the Max plan and via API). Anthropic ships major updates roughly monthly.<\/p>\n<div class=\"convly-specs\">\n<div><strong>Maker<\/strong><span>Anthropic<\/span><\/div>\n<div><strong>Type<\/strong><span>Terminal-native AI coding agent<\/span><\/div>\n<div><strong>Default model<\/strong><span>Claude Sonnet 4.7 (Opus 4.7 on Max\/API)<\/span><\/div>\n<div><strong>Install<\/strong><span>npm i -g @anthropic-ai\/claude-code<\/span><\/div>\n<div><strong>Editor support<\/strong><span>VS Code, JetBrains, Neovim, agnostic<\/span><\/div>\n<div><strong>Extensibility<\/strong><span>MCP servers, hooks, custom skills, sub-agents<\/span><\/div>\n<div><strong>Pricing<\/strong><span>$20\/mo Pro \u00b7 $100 \/ $200 Max \u00b7 API pay-as-you-go<\/span><\/div>\n<div><strong>Best for<\/strong><span>Long-running tasks, multi-file edits, agentic workflows<\/span><\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Pricing_%E2%80%94_and_what_each_plan_actually_buys_you\"><\/span>Pricing \u2014 and what each plan actually buys you<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>There are three ways to pay for Claude Code:<\/p>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Plan<\/th>\n<th>Prix<\/th>\n<th>What you get<\/th>\n<th>Good for<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Claude Pro<\/td>\n<td>$20\/mo<\/td>\n<td>Sonnet 4.7 \u00b7 ~40 hours of Code per week \u00b7 5-hour usage windows<\/td>\n<td>Solo devs, side projects<\/td>\n<\/tr>\n<tr>\n<td>Claude Max ($100)<\/td>\n<td>$100\/mo<\/td>\n<td>5\u00d7 Pro limits \u00b7 Opus 4.7 access \u00b7 longer windows<\/td>\n<td>Professional devs at small companies<\/td>\n<\/tr>\n<tr>\n<td>Claude Max ($200)<\/td>\n<td>$200\/mo<\/td>\n<td>20\u00d7 Pro limits \u00b7 Opus by default \u00b7 priority access<\/td>\n<td>Heavy users \/ consultants<\/td>\n<\/tr>\n<tr>\n<td>API pay-as-you-go<\/td>\n<td>Per token<\/td>\n<td>No subscription \u00b7 prompt caching brings cost down ~90%<\/td>\n<td>Teams, automation, very heavy use<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The Pro plan handles most independent work. I personally exceeded it within three months of daily use on a large monorepo and moved to Max $100, which has held up since. The API route is best when you&#8217;re integrating Claude Code into CI or running unattended agents \u2014 prompt caching makes it competitive on cost.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_five_things_Claude_Code_does_better_than_anything_else\"><\/span>The five things Claude Code does better than anything else<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>1. Long-running agentic tasks that don&#8217;t fall apart<\/h3>\n<p>Give Claude Code a task like &#8220;find every place we call the old Stripe API and migrate to the new one, run tests after each change, and commit per logical unit&#8221; and walk away. A 20-minute run with 40 tool calls usually completes successfully. Cursor&#8217;s agent mode gives up sooner; Aider gets lost in larger codebases; Codex (OpenAI&#8217;s variant) works but burns through context faster.<\/p>\n<p>The reason is structural: Claude Code maintains explicit task state, uses sub-agents to keep the main context lean, and aggressively compacts older turns. Anthropic clearly built this for hour-scale work, not five-prompt sessions.<\/p>\n<h3>2. Codebase awareness without indexing<\/h3>\n<p>Cursor builds a vector index of your repo on first open. That&#8217;s fast at retrieval but stale within hours and brittle on huge monorepos. Claude Code reads files on demand using glob, grep, and <code>Read<\/code> tools. There&#8217;s no index to keep fresh. On a 400k-LOC Go codebase I work on, Claude Code&#8217;s &#8220;find every place X is defined and audit it&#8221; is consistently more accurate than Cursor&#8217;s <code>@Codebase<\/code> because it&#8217;s actually reading current file contents, not querying an embedding.<\/p>\n<p>The trade-off: it&#8217;s slightly slower per-query. For interactive work, Cursor wins. For correctness on big tasks, Claude Code wins.<\/p>\n<h3>3. MCP \u2014 the integration layer nothing else has<\/h3>\n<p>Model Context Protocol is Anthropic&#8217;s open standard for letting AI agents talk to external systems. As of mid-2026 there are ~200 official MCP servers (GitHub, Slack, Linear, Postgres, Sentry, BrowserBase, Playwright, AWS, Cloudflare, you name it) and a long tail of community ones.<\/p>\n<p>In practice this means I can ask Claude Code &#8220;look at the failing tests from the last CI run on this PR, find the regression, and fix it&#8221; and it actually reaches into GitHub Actions, reads the logs, narrows the failure, and ships the patch \u2014 all in one session. That kind of cross-tool agency is functionally impossible with Cursor or Copilot today.<\/p>\n<h3>4. Hooks \u2014 deterministic safety on a non-deterministic agent<\/h3>\n<p>Claude Code lets you wire shell scripts to lifecycle events: <code>PreToolUse<\/code>, <code>PostToolUse<\/code>, <code>UserPromptSubmit<\/code>, <code>Stop<\/code>. The simplest valuable use: a <code>PreToolUse<\/code> hook that blocks file writes outside the current repo. The most valuable I&#8217;ve seen: a <code>PostToolUse<\/code> hook that runs your linter and formatter automatically, so the agent&#8217;s output is always clean.<\/p>\n<p>This is the single most underrated feature. It lets you make Claude Code stricter than the model alone could ever be.<\/p>\n<h3>5. Custom skills + sub-agents<\/h3>\n<p>You can drop a markdown file in <code>~\/.claude\/skills\/<\/code> and it becomes a callable capability \u2014 for instance, a <code>release-notes<\/code> skill that knows your project&#8217;s changelog format. Sub-agents (<code>general-purpose<\/code>, <code>code-reviewer<\/code>, etc.) let you delegate sub-tasks to ephemeral context windows so the parent agent stays focused. Together they let you scale Claude Code from &#8220;one prompt at a time&#8221; to &#8220;an actual workflow.&#8221;<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_three_things_it_still_gets_wrong\"><\/span>The three things it still gets wrong<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>1. Inline completions don&#8217;t exist<\/h3>\n<p>If your daily flow is &#8220;type, get a grey suggestion, press Tab,&#8221; Claude Code is the wrong tool. Use Cursor or Copilot for that. Claude Code is an agent, not an autocomplete.<\/p>\n<h3>2. Visual diff review is weak<\/h3>\n<p>The TUI shows diffs as colored text. For a 600-line refactor that&#8217;s fine but tedious; Cursor&#8217;s side-by-side diff in the editor is genuinely better for review. I usually <code>git diff<\/code> in another pane or open the IDE side-by-side to review.<\/p>\n<h3>3. Rate limit windows are blunt<\/h3>\n<p>On the Pro plan, you&#8217;re throttled in 5-hour windows. If you burn through your quota in the morning, you&#8217;re locked out until afternoon. There&#8217;s no soft warning; you just get told to come back later. The Max plans mostly fix this but at meaningful price.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Claude_Code_vs_the_alternatives\"><\/span>Claude Code vs the alternatives<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table class=\"convly-vs\">\n<thead>\n<tr>\n<th>Capability<\/th>\n<th>Claude Code<\/th>\n<th>Cursor<\/th>\n<th>GitHub Copilot<\/th>\n<th>Aider<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Long-running agent<\/td>\n<td class=\"convly-vs-winner\">Excellent (20+ min)<\/td>\n<td>OK (5\u201310 min)<\/td>\n<td>Limited<\/td>\n<td>OK<\/td>\n<\/tr>\n<tr>\n<td>Inline completions<\/td>\n<td>None<\/td>\n<td class=\"convly-vs-winner\">Excellent<\/td>\n<td class=\"convly-vs-winner\">Excellent<\/td>\n<td>None<\/td>\n<\/tr>\n<tr>\n<td>Codebase awareness<\/td>\n<td class=\"convly-vs-winner\">On-demand, accurate<\/td>\n<td>Indexed, fast<\/td>\n<td>Limited<\/td>\n<td>On-demand<\/td>\n<\/tr>\n<tr>\n<td>MCP \/ integrations<\/td>\n<td class=\"convly-vs-winner\">200+ servers<\/td>\n<td>Limited<\/td>\n<td>GitHub only<\/td>\n<td>None<\/td>\n<\/tr>\n<tr>\n<td>Hooks \/ safety<\/td>\n<td class=\"convly-vs-winner\">Yes (4 events)<\/td>\n<td>Non<\/td>\n<td>Non<\/td>\n<td>Non<\/td>\n<\/tr>\n<tr>\n<td>Visual diff UI<\/td>\n<td>TUI only<\/td>\n<td class=\"convly-vs-winner\">Side-by-side<\/td>\n<td>OK<\/td>\n<td>TUI only<\/td>\n<\/tr>\n<tr>\n<td>Best models<\/td>\n<td>Claude 4.7<\/td>\n<td>GPT-5, Claude 4.7, Gemini 3<\/td>\n<td>GPT-5, Claude 4.7<\/td>\n<td>Any (BYOK)<\/td>\n<\/tr>\n<tr>\n<td>Starting price<\/td>\n<td>$20\/mo<\/td>\n<td>$20\/mo<\/td>\n<td>$10\/mo<\/td>\n<td>Free (BYOK)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"Pros_and_cons\"><\/span>Pros and cons<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<div class=\"convly-procons\">\n<div class=\"pros\">\n<h4>Claude Code pros<\/h4>\n<ul>\n<li>Best-in-class long-running agent reliability<\/li>\n<li>Terminal-native \u2014 fits any editor or none at all<\/li>\n<li>MCP ecosystem opens up dozens of integrations<\/li>\n<li>Hooks let you make it stricter than the model<\/li>\n<li>Sonnet 4.7 is currently the best coding model<\/li>\n<li>$20\/mo Pro plan is genuinely usable<\/li>\n<\/ul>\n<\/div>\n<div class=\"cons\">\n<h4>Claude Code cons<\/h4>\n<ul>\n<li>No inline completions \u2014 wrong tool if you want Tab-Tab-Tab<\/li>\n<li>Visual diff review weaker than Cursor<\/li>\n<li>5-hour rate limit windows on Pro can sting<\/li>\n<li>Steeper learning curve than IDE plugins<\/li>\n<li>API mode can get expensive without prompt caching<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"Who_Claude_Code_is_for_%E2%80%94_and_who_it_isnt\"><\/span>Who Claude Code is for \u2014 and who it isn&#8217;t<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>Buy Claude Code if:<\/strong><br \/>\n&#8211; You work on real codebases (10k+ LOC) and want agentic refactors that hold together<br \/>\n&#8211; You live in the terminal and value being editor-agnostic<br \/>\n&#8211; You want integrations with GitHub, databases, browsers, etc. via MCP<br \/>\n&#8211; You&#8217;re willing to learn a more powerful but less hand-holdy tool<\/p>\n<p><strong>Don&#8217;t buy Claude Code if:<\/strong><br \/>\n&#8211; You mostly want autocomplete while you type \u2014 get Copilot<br \/>\n&#8211; You prefer a polished GUI for everything \u2014 get Cursor<br \/>\n&#8211; Your work is mostly single-file prototyping \u2014 anything works<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Performance_after_9_months_of_real_use\"><\/span>Performance after 9 months of real use<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>A rough log of what Claude Code has shipped for me, unattended, in production:<br \/>\n&#8211; Migrated a 12-service Node monorepo from CommonJS to ESM (3 hours, 1 supervised run)<br \/>\n&#8211; Audited a Rails 7 app for N+1 queries and fixed 31 of them with tests (~90 minutes)<br \/>\n&#8211; Ported a 4k-line React class-component bundle to function components + hooks (50 minutes)<br \/>\n&#8211; Wrote and shipped 28 PRs over a weekend that fixed papercut issues from a backlog<\/p>\n<p>The failure modes I&#8217;ve seen:<br \/>\n&#8211; Got stuck in a tool-call loop once trying to use a flaky MCP server (~$3 wasted on the API). Killed it manually.<br \/>\n&#8211; Once committed a <code>.env.local<\/code> file because the gitignore had drifted. The <code>PreToolUse<\/code> hook I added afterwards prevents this class of issue.<br \/>\n&#8211; Sometimes over-edits when given vague instructions. Tighter prompts and the <code>Plan<\/code> agent help.<\/p>\n<p>It&#8217;s not magic. But it&#8217;s the closest thing to a junior engineer who never gets tired.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQ\"><\/span>FAQ<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>Is Claude Code free?<\/h3>\n<p>There&#8217;s a 14-day free trial of Claude Pro. After that, $20\/mo Pro is the minimum tier. The CLI itself is open-source under MIT, but it requires a paid Anthropic account or API key to function.<\/p>\n<h3>Does Claude Code work without internet?<\/h3>\n<p>No. The CLI is the client; the model runs on Anthropic&#8217;s servers. You&#8217;ll need a connection. There&#8217;s no on-device mode and Anthropic hasn&#8217;t suggested one is coming.<\/p>\n<h3>Can I use Claude Code with my own model (BYOK)?<\/h3>\n<p>Not officially. The CLI is Claude-only. If you want a similar UX with BYOK, look at Aider or Cline, both of which support OpenAI \/ Anthropic \/ local models.<\/p>\n<h3>Is Claude Code better than Cursor?<\/h3>\n<p>For long agentic tasks and terminal\/CLI work: clearly yes. For typing-with-autocomplete and visual editing: clearly no. Most serious devs end up using both \u2014 Cursor for fast iteration in the editor, Claude Code for the heavier &#8220;make this thing happen&#8221; tasks. They&#8217;re complementary, not competing.<\/p>\n<h3>Is Claude Code better than ChatGPT for coding?<\/h3>\n<p>For actually doing the work \u2014 editing files, running commands, finishing multi-step tasks in your real repo \u2014 yes, decisively. ChatGPT (even with the coding-focused GPT-5.5) is a chat interface: you copy code in and out. Claude Code is an agent that operates directly on your codebase, shell, and git. For one-off &#8220;explain this&#8221; or &#8220;write a function&#8221; questions, ChatGPT is fine and faster to reach. For shipping changes to a real project, Claude Code is a different category of tool.<\/p>\n<h3>Is Claude Code still the best coding agent in 2026?<\/h3>\n<p>For long-running, terminal-native agentic work, it&#8217;s the one to beat \u2014 the reliability on 20-minute multi-step tasks and the MCP integration ecosystem keep it ahead. Open-weight models like Kimi K2.6 and GLM-5.1 have closed the raw-capability gap and cost far less, and Cursor is better inside the editor. But for &#8220;give it a complex task and trust it to finish,&#8221; Claude Code remains our top pick.<\/p>\n<h3>Is Claude Code actually worth it?<\/h3>\n<p>If you work on real codebases daily: yes, easily \u2014 the $20\/month Pro plan pays for itself the first time it completes a refactor or migration you&#8217;d have spent hours on. If you only code occasionally or mostly want autocomplete, it&#8217;s the wrong tool and a cheaper option (or Cursor) fits better. The honest test: if you have tasks you&#8217;d hand to a junior engineer, Claude Code is worth it.<\/p>\n<h3>What&#8217;s the difference between Pro and Max for Claude Code specifically?<\/h3>\n<p>Pro gives you Sonnet 4.7 with limited 5-hour windows (about 40 hours per week of intensive use). Max ($100) gives you 5\u00d7 the limits plus Opus 4.7 access for harder tasks. Max ($200) gives you 20\u00d7 and Opus by default. If you use Claude Code for 4+ hours a day, you&#8217;ll outgrow Pro within a month.<\/p>\n<h3>Is my code sent to Anthropic?<\/h3>\n<p>Yes \u2014 context you share with the agent is sent to Anthropic&#8217;s API for inference. Anthropic does not train on Pro\/Max API customer data by default. For paranoid environments, the API offers Zero Data Retention agreements; on the consumer plans you get standard privacy terms.<\/p>\n<h3>Does it work with non-English codebases \/ comments?<\/h3>\n<p>Yes. Claude handles non-English content fine, including code with Arabic, Chinese, Russian, etc. comments and identifiers.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Bottom_line\"><\/span>R\u00e9sultat<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Claude Code is the first AI coding tool that genuinely changed how I work, not just how fast I type. It is not the right tool if you want autocomplete; it is the right tool if you want an agent that can be given a complex task and trusted to finish it.<\/p>\n<p>The $20\/month Pro plan is one of the highest-value subscriptions in software development right now. The $100 Max plan is the right answer for anyone using it daily.<\/p>\n<p>If you&#8217;ve tried it before and bounced off, the version shipping in mid-2026 (Sonnet 4.7 + the latest CLI) is genuinely a different product than the one Anthropic launched in 2024. It&#8217;s worth a second look.<\/p>\n<p>For the rare reader who can only pay for one AI coding tool: Claude Code is mine. For everyone else, the honest answer is &#8220;use both Claude Code and Cursor and pick per task.&#8221; They complement each other better than either competes.<\/p>","protected":false},"excerpt":{"rendered":"<p>L'agent de codage IA natif du terminal d'Anthropic est tranquillement devenu l'outil le plus utilis\u00e9 dans mon flux de travail de d\u00e9veloppeur. Neuf mois plus tard, voici le verdict honn\u00eate.<\/p>","protected":false},"author":1,"featured_media":739,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[580],"tags":[581,427,383,582,583],"class_list":["post-733","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-tool-reviews","tag-ai-coding-agent","tag-anthropic","tag-claude-code","tag-claude-sonnet-4-7","tag-terminal-ai"],"_links":{"self":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/733","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/comments?post=733"}],"version-history":[{"count":2,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/733\/revisions"}],"predecessor-version":[{"id":766,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/posts\/733\/revisions\/766"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media\/739"}],"wp:attachment":[{"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/media?parent=733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/categories?post=733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/convly.ai\/fr\/wp-json\/wp\/v2\/tags?post=733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}