Refact.ai

AI code completion isn’t new — but real autonomy in software development still feels out of reach for most developers. In this webinar, Nick Frolov, Head of Product at Refact.ai, will share what it takes to build AI Development Agents that deliver real, production-ready results — not just code suggestions, but full features and working projects, right inside your IDE. Refact.ai is an AI Agent built by developers, for developers. It handles engineering tasks end-to-end. It understands large codebases, works inside your IDE, and starts delivering impact from day one. Whether you're building dev tools, integrating AI into your stack, or curious about what’s next in AI for development — this talk is for you. 🗓️ When: Tuesday, May 6, at 5:00 PM CEST 📍 Where: Click ‘Register’ below to join!

Refact.ai is moving to usage-based pricing. What does it mean? You no longer burn a full request limit on a quick request — now, with coins, you’re only charged for what the AI Agent actually does: simple tasks use fewer coins, complex ones use more. 💰 $1 = 1,000 coins 🔑 Prefer not to spend coins? Bring your own API key or local model (BYOK) — it’s free to use! What’s changing: ✔️ Pro users: Your subscription converts 1-for-1: $10 = 10k coins, $20 = 20k coins, etc. Plus 10,000 bonus coins for each Pro user. Unused coins roll over month to month. ✔️ Free users: Get a one-time 5,000-coin starter pack ✔️ Top-ups: Available from just $5 (Pro users only) ✔️ Full control: Your balance is your hard limit — no overspending The update rolls out in the coming days. 👉 Full details and FAQs are in the blog post: https://lnkd.in/diDr7dHE

🕺 We're joining AI Native DevCon — to talk fine-tune use in agentic coding! On May 13, Nick Frolov, Head of Product @Refact.ai, will be speaking about: “Use of Fine-Tune in Completion and Agents.” 🛠️ Newer models and bigger RAG aren't always the answer. When AI needs to handle heavy databases and generate accurate, production-ready output, fine-tuning might still be your best move. Nick will share practical examples, from how training data is gathered to the results achieved. 🎟️ Find the ticket link in comments — and see you there!

⏱️ How fast can you build a fully working AI SEO content generator? With Refact.ai Agent, it took 60 minutes! Real story, real results: In a new blog post, a Refact.ai user shares how he created an automated content system in only one hour using our AI Agent. Key highlights from the build: ✅ AI-powered SEO content generation ✅ Firebase database integration ✅ Automated sitemap generation ✅ React-based content sync component ✅ Self-updating architecture. Results: High-quality SEO content created, published, and driving real engagement — with minimal manual work. 🔍 See the full use case on our blog — link in comments. 🙏 And big thanks to our contributing author for sharing this great story!

🎯 Your input: task description. Refact.ai Agent: fully working solution. That’s how developers and QA engineers use Refact.ai Agent today — coding, testing, and debugging autonomously inside the IDE. At Geekle.us Global QA Summit '25, our Success Manager Ilya Yarmalkevich shared practical examples of how Refact.ai helps QA engineers move faster: ✅ Build and test a full project from task descriptions ✅ Generate unit tests and documentation in seconds ✅ Interact with Docker via natural language ✅ Visualize any project structure with graphs. Catch the highlights in preview — and watch the full talk on YouTube. 🔗 Link in comments.

What’s the #1 skill developers need to stay relevant in an AI-powered future? We asked this at the DEVWorld Conference — and here’s what developers and tech leads highlighted: 🤖 Prompt engineering 💬 Communication with partners and teammates 📊 Business understanding ⚙️ Even building your own AI agents! Curious how to actually build one? Join us for our live session “How to build an AI Development Agent” with Nick Frolov, Head of Product at Refact.ai on Tuesday, May 6. 🔗 Click register: https://lnkd.in/daRk7HJH We’d love to hear your thoughts too — what do YOU think is the #1 skill? 👇 Drop it in the comments! P.S. Big thanks to Gia-Phong Tran, Mark Temchenko, Jan Stomphorst, Laurent 🚀 . Kleering van Beerenbergh for being part of the conversation.

🏆 GPT-4.1 & Gemini 2.5 Pro are now available in Refact.ai Agent! Each model has its strengths for autonomous programming: 🎯 GPT-4.1 is fast and accurate, perfect for short and clear tasks. • 54.6% on SWE-Bench Verified • Great for: Code generation and explanation, debugging, writing docs, and or producing code reviews from GitHub PRs. • Works well only on well-structured prompts and tasks not requiring multi-step reasoning. May need reminders like “act as an agent and finish the task.” 🧠 Gemini 2.5 Pro has a built-in Thinking mode to handle complex workflows. • 63.8% on SWE-Bench Verified & 1st on Chatbot Arena LLM Leaderboard • Great for: Solving tasks that involve multiple steps and tools, building agentic workflows, planning complex features, or refactoring large codebases. • Excels on hard problems — but may act slower or overengineer simple tasks due to its depth. Available exclusively to Refact.ai Pro plan users. 🧑💻 Both LLMs are ready for autonomous task-solving inside Refact.ai #AIAgent. Update your plugin in VS Code or JetBrains to try them out now!

📊 We just tested GPT-4.1 with Refact.ai Agent on Aider’s polyglot benchmark. The result? 76.9%. A solid improvement over GPT-4o, but still behind Claude 3.7 Sonnet — our top pick for autonomous programming! We're continuously adding and testing new models in Refact.ai to see how well they handle complex dev tasks — fully autonomously, right inside your IDE. 💫 More benchmark results coming soon!

✨ The new Refact.ai website is live — updated to reflect what the product really is today. Over the past few months, Refact.ai has evolved from an AI Assistant into a full AI Agent. Still your digital twin in the IDE, but now it doesn’t just autocomplete — it completes real dev tasks, from planning to deployment, autonomously 🙌 On the new site, you’ll find: → A breakdown of actual features → AI Agent workflow explained → Customization tricks to make it tailored to your needs → Solutions for individuals and teams 👀 Take a look: www. refact. ai

"Refact.ai Agent did 99.9% of my programming during my workout” (and you can do this too!) ☑️ 80-hour WordPress plugin debugging → Fixed in 30 minutes ☑️ 3-week GUI development bottleneck → Delivered in 14 minutes ☑️ New product idea prototype → €10,000 saved on development Refact.ai Agent delivers what others only promise. Autonomous AI that handles your engineering tasks end-to-end. Open-source. IDE-integrated. Production-ready. 👉 Swipe to see how real developers are getting real results.