[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-12-cursor-alternatives-cost-less-2026-en":3,"article-related-12-cursor-alternatives-cost-less-2026-en":29,"series-tools-5a252e91-e7b5-4125-9e70-f1af000af85d":74},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":22,"views":26,"created_at":27,"published_at":28,"topic_cluster_id":11},"5a252e91-e7b5-4125-9e70-f1af000af85d","12-cursor-alternatives-cost-less-2026-en","12 Cursor alternatives that cost less in 2026","\u003Cp data-speakable=\"summary\">I broke down 12 Cursor alternatives so you can pick one without overpaying.\u003C\u002Fp>\u003Cp>I've been using Cursor-style editors long enough to know when the magic starts feeling like a bill. At first it looks perfect: autocomplete, chat, multi-file edits, the whole “I can just ask the editor” routine. Then you hit a big refactor, the context window gets weird, and suddenly the tool is saying yes to everything while quietly getting in your way. I’ve also had the opposite problem: teams that wanted AI help, but not a cloud editor deciding where their code goes.\u003C\u002Fp>\u003Cp>That’s why I dug into this API.market piece from \u003Ca href=\"https:\u002F\u002Fapi.market\u002Fblog\u002Fmagicapi\u002Fcoding-tools\u002Fbest-cursor-alternatives\">Aditi Upadhyay’s 2026 rundown\u003C\u002Fa>. It’s not a hype post; it’s a practical comparison of tools people can actually switch to, including free and open-source options like \u003Ca href=\"https:\u002F\u002Faider.chat\u002F\">Aider\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fcline.bot\u002F\">Cline\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fvoideditor.com\u002F\">Void\u003C\u002Fa>. The article also covers paid options like \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude-code\">Claude Code\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwindsurf.com\u002F\">Windsurf\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\">GitHub Copilot\u003C\u002Fa>. What I like here is the framing: not “what’s coolest,” but “what actually fits your workflow and budget.”\u003C\u002Fp>\u003Ch2>Cursor’s real problem is not features, it’s control\u003C\u002Fh2>\u003Cblockquote>Cursor routes your prompts through their backend and controls which models you access. You can't easily swap in a local Llama model, connect to DeepSeek directly, or test a cheaper alternative without jumping through hoops.\u003C\u002Fblockquote>\u003Cp>What this actually means is that Cursor is opinionated in the worst place: the model layer. If I’m using an AI editor, I want to decide whether I’m sending code to Claude, GPT-4o, a local model, or nothing at all. Cursor makes that choice for me more than I’d like.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785438203309-j8dj.png\" alt=\"12 Cursor alternatives that cost less in 2026\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>I’ve run into this when a team wanted to try a cheaper model for low-risk tasks like boilerplate generation, but keep a stronger model for refactors. That’s normal engineering behavior. Cursor makes it feel like you’re asking permission to experiment.\u003C\u002Fp>\u003Cp>The API.market article calls this the “Model Lock-In Problem,” and I think that’s the right phrase. The issue isn’t just vendor preference. It’s that the editor becomes a gatekeeper between you and the models you pay for elsewhere.\u003C\u002Fp>\u003Cp>How to apply it: if you’re evaluating a Cursor alternative, ask one question first: can I choose the model directly, and can I change it without rebuilding my workflow? If the answer is no, I’d treat that as a serious limitation, not a minor inconvenience.\u003C\u002Fp>\u003Cul>\u003Cli>Need direct model choice? Look at \u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Fvoideditor.com\u002F\">Void\u003C\u002Fa>.\u003C\u002Fli>\u003Cli>Want a command-line workflow with model flexibility? \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude-code\">Claude Code\u003C\u002Fa> is worth a look.\u003C\u002Fli>\u003Cli>Need the editor to stay out of the way? Prefer tools that plug into what you already use.\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>When the bill starts feeling stupid, the editor stops being fun\u003C\u002Fh2>\u003Cp>Cursor’s pricing is simple on paper and annoying in practice. The source article lists the Pro plan at $20\u002Fmonth and Ultra at $200\u002Fmonth. That’s fine if you’re getting constant value out of it. It gets less fine when you’re paying more just to avoid context limits.\u003C\u002Fp>\u003Cp>I’ve seen this with larger codebases. You ask the assistant to touch a few files, it works for a while, then the session gets cramped. You either restart, trim context, or pay more. That’s not a great feeling when the tool is supposed to save you time.\u003C\u002Fp>\u003Cp>The article’s cost breakdown matters because several alternatives are priced in a way that fits different usage patterns. \u003Ca href=\"https:\u002F\u002Fwindsurf.com\u002F\">Windsurf\u003C\u002Fa> is listed at $15\u002Fmonth for Pro. \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\">GitHub Copilot\u003C\u002Fa> is $10\u002Fmonth for Pro. \u003Ca href=\"https:\u002F\u002Fwww.jetbrains.com\u002Fai\u002F\">JetBrains AI Assistant\u003C\u002Fa> starts at $8\u002Fmonth for AI Pro. And some tools, like \u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa>, are open source.\u003C\u002Fp>\u003Cp>What this actually means is that “\u003Ca href=\"\u002Ftag\u002Fai-coding\">AI coding\u003C\u002Fa> editor” is no longer one market. It’s a bunch of pricing strategies pretending to be one category. If you only need completions plus occasional chat, paying Cursor Ultra money is probably overkill.\u003C\u002Fp>\u003Cp>How to apply it: map your actual usage before you switch. If you mostly need inline completions, pick a cheaper autocomplete tool. If you need multi-file edits, choose an agentic editor. If you only need occasional assistance, don’t buy the most expensive plan because the demo felt slick.\u003C\u002Fp>\u003Cul>\u003Cli>Low-cost broad option: \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\">Copilot\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Budget-friendly IDE-native option: \u003Ca href=\"https:\u002F\u002Fwww.jetbrains.com\u002Fai\u002F\">JetBrains AI Assistant\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Open-source route: \u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa>\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Claude Code is the one I’d pick for messy terminal work\u003C\u002Fh2>\u003Cblockquote>Claude Code is Anthropic's terminal-based coding agent, built for autonomous development tasks. It writes code, runs tests, debugs errors, and manages files from the command line.\u003C\u002Fblockquote>\u003Cp>What this actually means is that \u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa> is not trying to be a pretty editor. It’s trying to be useful when the job is ugly. Terminal-first workflows are still where a lot of real engineering happens, especially when you’re debugging something spread across a repo instead of writing a neat new feature from scratch.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785438198692-lohw.png\" alt=\"12 Cursor alternatives that cost less in 2026\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>I ran into this pattern a lot when a bug report touched half a dozen files and the root cause wasn’t obvious. In a GUI editor, I’d bounce around manually. In a terminal agent, I can give the problem statement once and let it inspect, test, and propose changes.\u003C\u002Fp>\u003Cp>The source article also notes that Claude Code is included with Claude Pro at $20\u002Fmonth, with higher tiers at $100 and $200. That matters because if your team already pays \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa>, this can be an add-on instead of a new tool purchase.\u003C\u002Fp>\u003Cp>How to apply it: use Claude Code when the task is investigation-heavy. Good fits are failing tests, dependency upgrades, and repo-wide cleanup jobs. Bad fits are tiny edits where opening a terminal agent would be more friction than help.\u003C\u002Fp>\u003Cp>One more thing: it supports \u003Ca href=\"https:\u002F\u002Fmodelcontextprotocol.io\u002F\">MCP\u003C\u002Fa>, which means you can connect outside tools and services instead of keeping everything trapped inside one editor. That’s a real advantage if your workflow already spans docs, issue trackers, or internal APIs.\u003C\u002Fp>\u003Ch2>Windsurf is Cursor’s closest replacement, and that’s not a compliment or an insult\u003C\u002Fh2>\u003Cblockquote>Windsurf (formerly Codeium) is the closest direct competitor to Cursor. It's a full AI-powered IDE with a built-in agent called Cascade that can plan and execute multi-step tasks across your entire codebase.\u003C\u002Fblockquote>\u003Cp>What this actually means is that if you like Cursor’s “agent in the editor” feel, \u003Ca href=\"\u002Ftag\u002Fwindsurf\">Windsurf\u003C\u002Fa> is probably the least disruptive switch. It’s the most obvious answer for people who want the same shape of workflow with lower pricing.\u003C\u002Fp>\u003Cp>The article says Windsurf has daily and weekly quotas on the free tier, Pro at $15\u002Fmonth, Teams at $30 per user, and Enterprise at $60. That pricing is boring in the best way. It’s lower than Cursor at every tier the article mentions, and the feature set is close enough that most developers won’t care about the branding.\u003C\u002Fp>\u003Cp>I’ve seen teams migrate to tools like this when they want multi-file edits without retraining everyone on a new mental model. That is the real cost people forget: not the subscription, the habit change. Windsurf keeps the habit mostly intact.\u003C\u002Fp>\u003Cp>How to apply it: if your current Cursor workflow is “describe a change, let the editor edit several files, review the diff,” start with Windsurf. If it covers your use case, you probably don’t need to keep shopping.\u003C\u002Fp>\u003Ch2>GitHub Copilot wins when your code already lives in GitHub\u003C\u002Fh2>\u003Cblockquote>GitHub Copilot started as autocomplete and grew into a full coding assistant with chat, agent mode, and multi-file editing.\u003C\u002Fblockquote>\u003Cp>What this actually means is that \u003Ca href=\"\u002Ftag\u002Fcopilot\">Copilot\u003C\u002Fa> is less of a new environment and more of an upgrade to the one you already use. That’s why it’s easy to recommend. No editor migration. No fresh muscle memory. Just better assistance in the places your team already works.\u003C\u002Fp>\u003Cp>The article points out that Copilot pulls in GitHub-native context like pull requests, issues, and repo history. That’s not a minor detail. If your team’s decisions live in GitHub, the assistant can actually see the work around the code, not just the code itself.\u003C\u002Fp>\u003Cp>I’ve had enough “AI assistant” tools hallucinate project intent to be suspicious of anything that ignores PR history. Copilot’s advantage is boring but real: it sits close to the source of truth.\u003C\u002Fp>\u003Cp>How to apply it: if your team uses GitHub heavily and doesn’t want to switch editors, Copilot is the cleanest first move. It’s especially good for isolated tasks like test generation, small refactors, and answering questions about a repo you didn’t write.\u003C\u002Fp>\u003Cp>If you’re comparing it to Cursor, the question is simple: do you need a new editor, or do you just need better help inside the one you already have?\u003C\u002Fp>\u003Ch2>Open source is not a consolation prize anymore\u003C\u002Fh2>\u003Cblockquote>Open-source tools like Void or Continue.dev let you connect directly to the model provider so your code never touches an intermediary server.\u003C\u002Fblockquote>\u003Cp>What this actually means is that open source has moved from “nice if you’re broke” to “best option if you care about control.” That’s a big shift. A few years ago, open-source coding assistants felt rough around the edges. Now they’re often the right answer for privacy, flexibility, and cost.\u003C\u002Fp>\u003Cp>The article specifically calls out \u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fvoideditor.com\u002F\">Void\u003C\u002Fa>. Continue is the more established name in this group, and Void is the newer privacy-first option the article highlights. Both matter because they let you decide how the model connection works instead of routing everything through a vendor-controlled middle layer.\u003C\u002Fp>\u003Cp>I’ve worked with teams where “code never leaves our environment” wasn’t a preference, it was policy. In those cases, the conversation ends fast if the tool insists on sending prompts through its own backend. Open-source assistants give you a way out of that dead end.\u003C\u002Fp>\u003Cp>How to apply it: choose open source when privacy, compliance, or model flexibility matters more than polished onboarding. If you’re an individual developer, it’s also the easiest way to try multiple providers without paying another subscription tax.\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa> for editor-based assistance with direct model connections\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fvoideditor.com\u002F\">Void\u003C\u002Fa> if you want a privacy-first editor experience\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Faider.chat\u002F\">Aider\u003C\u002Fa> if you prefer a chat-driven coding workflow in the terminal\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>JetBrains, Amazon, Tabnine, and Supermaven each solve a narrower problem\u003C\u002Fh2>\u003Cp>The API.market article spends time on tools that are not trying to be Cursor clones, and that’s useful. \u003Ca href=\"https:\u002F\u002Fwww.jetbrains.com\u002Fai\u002F\">JetBrains AI Assistant\u003C\u002Fa> is the obvious pick if your team already lives inside IntelliJ, PyCharm, or WebStorm. \u003Ca href=\"https:\u002F\u002Faws.amazon.com\u002Fq\u002Fdeveloper\u002F\">Amazon Q Developer\u003C\u002Fa> makes sense if you’re deep in AWS. \u003Ca href=\"https:\u002F\u002Fwww.tabnine.com\u002F\">Tabnine\u003C\u002Fa> is the enterprise choice when code governance matters. \u003Ca href=\"https:\u002F\u002Fsupermaven.com\u002F\">Supermaven\u003C\u002Fa> is for people who mostly want fast autocomplete.\u003C\u002Fp>\u003Cp>What this actually means is that “best alternative” depends on the axis you care about most. If you want the cheapest decent assistant, the answer is not the same as if you want AWS-native context or on-prem deployment.\u003C\u002Fp>\u003Cp>I like this section of the source article because it refuses to flatten every tool into one comparison chart. That’s honest. A developer working in PyCharm on an AWS-heavy backend should not be shopping the same way as a startup engineer who just wants faster completions in VS Code.\u003C\u002Fp>\u003Cp>How to apply it: pick the narrowest tool that solves your main pain. If you’re in JetBrains already, start there. If you’re on AWS, try Q Developer. If your company has compliance rules, look at Tabnine. If speed matters more than chat, Supermaven is the cleaner fit.\u003C\u002Fp>\u003Cp>Here’s the short version I’d give a teammate:\u003C\u002Fp>\u003Cul>\u003Cli>Need the closest Cursor replacement? \u003Ca href=\"https:\u002F\u002Fwindsurf.com\u002F\">Windsurf\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Need the cheapest general assistant? \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Ffeatures\u002Fcopilot\">Copilot\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Need terminal autonomy? \u003Ca href=\"https:\u002F\u002Fwww.anthropic.com\u002Fclaude-code\">Claude Code\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Need privacy and control? \u003Ca href=\"https:\u002F\u002Fcontinue.dev\u002F\">Continue.dev\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Fvoideditor.com\u002F\">Void\u003C\u002Fa>\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>The template you can copy\u003C\u002Fh2>\u003Cpre>\u003Ccode># Cursor alternative chooser for a dev team\n\n## What we need\n- Editor: [VS Code \u002F JetBrains \u002F terminal \u002F other]\n- Primary use: [autocomplete \u002F chat \u002F multi-file edits \u002F debugging \u002F refactors]\n- Model control: [must choose model \u002F okay with vendor routing]\n- Privacy level: [standard \u002F sensitive \u002F regulated \u002F air-gapped]\n- Budget per seat: [$0 \u002F under $10 \u002F under $20 \u002F under $40 \u002F no limit]\n- Existing stack: [GitHub \u002F AWS \u002F JetBrains \u002F VS Code \u002F CLI]\n\n## Decision rules\n1. If we need direct model control or local\u002Fprovider flexibility, start with Continue.dev or Void.\n2. If we want the closest Cursor-like editor experience, start with Windsurf.\n3. If we already live in GitHub, start with Copilot.\n4. If we work in JetBrains, start with JetBrains AI Assistant.\n5. If we need terminal-first autonomous coding, start with Claude Code.\n6. If we need AWS-native context, start with Amazon Q Developer.\n7. If we need enterprise privacy controls, start with Tabnine.\n8. If we mainly want fast completions, start with Supermaven.\n\n## Trial plan\n- Week 1: test one tool on a real task, not a toy prompt\n- Week 2: compare diff quality, context handling, and review time\n- Week 3: check cost versus actual usage\n- Week 4: keep only the tool that reduced work without adding friction\n\n## My default shortlist\n- Best Cursor-like replacement: Windsurf\n- Best budget pick: Copilot\n- Best terminal agent: Claude Code\n- Best open-source pick: Continue.dev\n- Best privacy-first pick: Void\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>I’d use that template exactly as written, then swap in your own constraints. The point is not to crown one winner. The point is to stop paying for a tool that solves the wrong problem.\u003C\u002Fp>\u003Cp>That’s the real lesson from the API.market comparison: Cursor isn’t the standard everyone else has to copy. It’s just one option in a crowded field, and a lot of the alternatives are cheaper, more flexible, or easier to fit into existing workflows.\u003C\u002Fp>\u003Cp>Source attribution: this breakdown is based on Aditi Upadhyay’s article on API.market, \u003Ca href=\"https:\u002F\u002Fapi.market\u002Fblog\u002Fmagicapi\u002Fcoding-tools\u002Fbest-cursor-alternatives\">“12 Best Cursor Alternatives in 2026 (Free + Paid)”\u003C\u002Fa>. I added my own developer take, structure, and copy-ready chooser template; the tool summaries and pricing references come from the source article.\u003C\u002Fp>","I broke down 12 Cursor alternatives, what they’re good at, and the tradeoffs so you can pick one without overpaying.","api.market","https:\u002F\u002Fapi.market\u002Fblog\u002Fmagicapi\u002Fcoding-tools\u002Fbest-cursor-alternatives",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785438203309-j8dj.png","tools","en","027b10d8-c2d2-45d9-9bc3-723879e4b773",[17,18,19,20,21],"Cursor alternatives","AI code editors","Claude Code","Windsurf","GitHub Copilot",[23,24,25],"Cursor is expensive when you only need a subset of its workflow.","Open-source tools like Continue.dev and Void give you more control.","The best alternative depends on your editor, budget, and privacy needs.",1,"2026-07-30T19:02:58.126092+00:00","2026-07-30T19:02:58.115+00:00",{"tags":30,"relatedLang":11,"relatedPosts":37},[31,33,35],{"name":20,"slug":32},"windsurf",{"name":21,"slug":34},"github-copilot",{"name":19,"slug":36},"claude-code",[38,44,50,56,62,68],{"id":39,"slug":40,"title":41,"cover_image":42,"image_url":42,"created_at":43,"category":13},"e5a74538-d365-440a-8877-c0b61c44a493","docker-engine-ubuntu-official-repo-path-en","Docker Engine on Ubuntu belongs on the official repo path","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785400365302-78eu.png","2026-07-30T08:32:18.636945+00:00",{"id":45,"slug":46,"title":47,"cover_image":48,"image_url":48,"created_at":49,"category":13},"4bbe1966-157d-4be9-afc4-1751e0551c38","rust-vs-go-2026-latency-gap-decoded-en","Rust vs Go: 2026 latency gap, decoded","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785349999157-bdjl.png","2026-07-29T18:32:52.974009+00:00",{"id":51,"slug":52,"title":53,"cover_image":54,"image_url":54,"created_at":55,"category":13},"528b77f0-5778-42d7-8c66-abd5e8fbb214","identity-protocols-private-zero-knowledge-kyc-en","10 identity protocols let KYC stay private","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785261803345-xfn0.png","2026-07-28T18:02:58.123447+00:00",{"id":57,"slug":58,"title":59,"cover_image":60,"image_url":60,"created_at":61,"category":13},"30591b45-cc2c-4a74-8f60-7f7b155bcf93","use-consensus-ai-faster-literature-scouting-en","Use Consensus AI for faster literature scouting","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785178978046-3fw2.png","2026-07-27T19:02:28.92673+00:00",{"id":63,"slug":64,"title":65,"cover_image":66,"image_url":66,"created_at":67,"category":13},"823d8f2c-9f98-4389-a5cb-dee69034cf89","15-perplexity-prompts-better-research-decisions-en","15 Perplexity prompts for better research decisions","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785177174436-k0w3.png","2026-07-27T18:32:28.796707+00:00",{"id":69,"slug":70,"title":71,"cover_image":72,"image_url":72,"created_at":73,"category":13},"c1b6db60-496e-44e8-add1-4313c2389d02","mistral-ai-models-2026-builders-guide-en","Mistral AI Models 2026 for Builders","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1785157379802-wvvm.png","2026-07-27T13:02:29.507622+00:00",[75,80,85,90,95,100,105,110,115,120],{"id":76,"slug":77,"title":78,"created_at":79},"8008f1a9-7a00-4bad-88c9-3eedc9c6b4b1","surepath-ai-mcp-policy-controls-en","SurePath AI's New MCP Policy Controls Enhance AI Security","2026-03-26T01:26:52.222015+00:00",{"id":81,"slug":82,"title":83,"created_at":84},"27e39a8f-b65d-4f7b-a875-859e2b210156","mcp-standard-ai-tools-2026-en","MCP Standard in 2026: Integrating AI Tools","2026-03-26T01:27:43.127519+00:00",{"id":86,"slug":87,"title":88,"created_at":89},"165f9a19-c92d-46ba-b3f0-7125f662921d","rag-2026-transforming-enterprise-ai-en","How RAG in 2026 is Transforming Enterprise AI","2026-03-26T01:28:11.485236+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"6a2a8e6e-b956-49d8-be12-cc47bdc132b2","mastering-ai-prompts-2026-guide-en","Mastering AI Prompts: A 2026 Guide for Developers","2026-03-26T01:29:07.835148+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"3ab2c67e-4664-4c67-a013-687a2f605814","garry-tan-open-sources-claude-code-toolkit-en","Garry Tan Open-Sources a Claude Code Toolkit","2026-03-26T08:26:20.245934+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"66a7cbf8-7e76-41d4-9bbf-eaca9761bf69","github-ai-projects-to-watch-in-2026-en","20 GitHub AI Projects to Watch in 2026","2026-03-26T08:28:09.752027+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"9f332fda-eace-448a-a292-2283951eee71","practical-github-guide-learning-ml-2026-en","A Practical GitHub Guide to Learning ML in 2026","2026-03-27T01:16:50.125678+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"1b1f637d-0f4d-42bd-974b-07b53829144d","aiml-2026-student-ai-ml-lab-repo-review-en","AIML-2026 Is a Bare-Bones Student Lab Repo","2026-03-27T01:21:51.661231+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"6d1bf3f6-e191-4d30-b55b-8a0722fa6afe","ai-trending-github-repos-and-research-feeds-en","AI Trending Tracks Repos and Research Feeds","2026-03-27T01:31:35.709532+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"010539a1-4c3a-4bd3-937a-26616422ee0d","awesome-ai-for-science-research-tools-map-en","Awesome AI for Science Is Becoming a Real Research Map","2026-03-27T01:46:50.89513+00:00"]