Tabnine

Exciting News: Tabnine CTO Eran Yahav to Speak at NVIDIA GTC 2025 AI-assisted developer tools are transforming software development, unlocking new levels of productivity and efficiency. At NVIDIA GTC 2025, Tabnine’s CTO Eran Yahav will join an expert panel to discuss the latest innovations in AI-driven coding, accelerated computing, and the future of developer tools. 📅 Session: AI-Assisted Developer Tools for Accelerated Computing 🗓 March 21 | 9:00 AM PDT 📍 San Jose, CA & Virtual Join Eran and industry leaders from NVIDIA, GitHub, poolside.ai, and the University of Maryland as they dive into: ✅ How AI is reshaping software development and refactoring ✅ The latest breakthroughs in AI-powered code generation ✅ The role of AI in accelerating high-performance computing ✅ Key trends shaping the next generation of developer tools This is a must-attend session for developers, engineers, and AI enthusiasts looking to stay ahead in AI-powered development.

We're showcasing Tabnine's Context Engine, AI agents, and secure on-prem deployment at NVIDIA GTC. Visit us at booth #3146 to learn how Tabnine delivers AI that's tailored to you and join our daily raffle for a chance to win a pair of Ray Ban Meta Smart Glasses. Don't miss an exciting panel featuring our CTO Eran Yahav on the future of AI for enterprise software development: Friday, March 21 from 9AM to 10AM PDT. Enterprise engineering teams need AI that understands their code, runs where they need it, and delivers real productivity gains.

Ready to see how AI actually understands your codebase instead of just making generic suggestions? Join us to explore the power of Retrieval Augmented Generation (RAG) - the technology revolutionizing AI code assistants by enabling large language models to dynamically access, query, and incorporate information unique to you & your codebase before generating responses. You'll learn how to: 🧠 Master RAG for truly context-aware AI - Understand how RAG works to bridge generic LLMs with your specific code context - See RAG technology in action as it retrieves, analyzes, and applies knowledge from your entire codebase - Experience the dramatic difference between basic AI suggestions and RAG-powered contextually relevant code - Learn how Tabnine's unique RAG implementation delivers personalized assistance that actually matches your patterns 🔄 Transform your development workflow with RAG - Discover how RAG-powered agents deliver exponentially more accurate code, tests, and documentation - Reduce the review burden with RAG-aware code generation that adheres to your team's established patterns - Understand the technical implementation details that make RAG work for enterprise development ⚡ Automate your entire development workflow with specialized AI agents that: - Transform Jira tickets into actionable code - Accelerate project onboarding - Identify and fix code issues - Create comprehensive test suites - Generate high-quality code - Keep documentation current - Streamline code reviews Join us to see the future of RAG-powered development - where your AI doesn't just generate code, but truly understands what you've built and helps you build more of it, better and faster, while maintaining your standards and security requirements.

Ready to see how AI actually understands your codebase instead of just making generic suggestions? Join us to explore the power of Retrieval Augmented Generation (RAG) - the technology that's revolutionizing AI code assistance by connecting large language models to your unique codebase. You'll learn how to: 🧠 Master RAG for truly context-aware AI - Understand how RAG works to bridge generic LLMs with your specific code context - See RAG technology in action as it retrieves, analyzes, and applies knowledge from your entire codebase - Experience the dramatic difference between basic AI suggestions and RAG-powered contextually relevant code - Learn how Tabnine's unique RAG implementation delivers personalized assistance that actually matches your patterns 🔄 Transform your development workflow with RAG - Discover how RAG-powered agents deliver exponentially more accurate code, tests, and documentation - Reduce the review burden with RAG-aware code generation that adheres to your team's established patterns - Understand the technical implementation details that make RAG work for enterprise development ⚡ Automate your entire development workflow with specialized AI agents that: - Transform Jira tickets into actionable code - Accelerate project onboarding - Identify and fix code issues - Create comprehensive test suites - Generate high-quality code - Keep documentation current - Streamline code reviews Join us to see the future of development - where your AI doesn't just generate code, but truly understands what you've built and helps you build more of it, better and faster, while maintaining your standards and security requirements.

🚀 AI That Fits Your Enterprise, Not the Other Way Around The LLM arms race is far from over, and enterprises are facing a critical challenge: balancing AI performance, security, and control. Most AI solutions force engineering teams to compromise between privacy and productivity—but what if you didn’t have to? At Tabnine Office Hours, we’re breaking down how mission-critical teams in regulated industries can take full control over their AI infrastructure: ✅ Fine-tuned LLMs for your codebase—without sacrificing security ✅ Architectural freedom to use Llama 3.3, Qwen 2.5, or your own models ✅ Enterprise-grade security & compliance baked into the development lifecycle Tabnine Enterprise Self-Hosted now gives you unprecedented flexibility—so you can build with AI on your terms. No trade-offs. No compromises. Join us TODAY for a LIVE DEMO at 7am PST to see how AI-driven development is evolving. 🔗https://lnkd.in/g9NuCZgF

Tabnine’s CTO Eran Yahav is speaking at DataCamp RADAR: Skills Edition on March 27, where he’ll break down how AI-assisted coding is reshaping software development and what skills developers need to stay ahead. This free, virtual event is your chance to learn from top industry experts and get practical insights you can apply right away. 📅 Date: March 27, 2025 🌍 Location: Virtual 🎟 Free Registration: https://lnkd.in/gzpxMPGj

For Mission-Critical Teams, Documentation Can’t Be an Afterthought When you’re building high-stakes systems in industries like aerospace, finance, and semiconductor manufacturing, documentation isn’t just nice to have—it’s critical for continuity, compliance, and collaboration. But here’s the challenge: The more complex the system, the harder it is to keep documentation accurate and up to date. • Teams are constantly evolving—onboarding new engineers, handing off projects, and managing knowledge transfer. • Codebases are massive, spanning multiple teams and systems. • Compliance and security requirements demand precise, well-documented workflows. Traditional documentation processes simply can’t keep up. That’s why AI-powered documentation is becoming essential.

“Why doesn’t AI understand our code?” It’s a question we hear all the time—especially from teams in semiconductor manufacturing and hardware engineering. They rely on SystemVerilog and VHDL, yet most LLMs struggle to generate accurate, usable completions for these languages. For developers working on mission-critical applications, generic AI just isn’t enough. Precision matters. Code quality matters. And having a model that understands the nuances of your codebase can be the difference between a streamlined workflow and endless debugging. That’s why we’ve been focused on fine-tuned, small language models—built specifically for teams that need high-precision AI completions tailored to their work. We’ve also introduced context scoping, giving developers fine-grained control over the sources their AI assistant considers—leading to even more relevant, useful suggestions. AI isn’t just about automation—it’s about augmentation. When the model understands your domain, it stops being a tool and starts feeling like an extension of your team. How are you thinking about AI for specialized development? Would love to hear your thoughts. #AI #SoftwareDevelopment #Tabnine #CodeCompletion #LLMs #Innovation

🚀 Struggling with Legacy Code? AI Can Help. Refactoring and modernizing code manually is exhausting. It takes time, introduces risk, and pulls developers away from building new features. What if AI could handle the heavy lifting? In our latest on-demand webinar, Generative AI for Code Modernization, we break down how AI-driven tools can: ✅ Identify patterns in your code for smarter refactoring ✅ Automate tedious modernization tasks ✅ Improve maintainability without increasing technical debt If you’re tired of wrestling with outdated systems, this session is a must-watch. 📺 Catch the webinar on demand now: https://lnkd.in/gA7EBYUN

🚀 Big news! Tabnine has been named “Top AI Innovation for Developers” in the Tech Innovation CUBEd Awards. This award recognizes groundbreaking technology that is shaping the future—and we’re honored to be at the forefront of AI-driven software development. Developers using Tabnine’s AI agents are seeing 30-50% productivity gains across every step of the SDLC—from onboarding to writing, fixing, reviewing, and testing code. Our AI is not just about generating code; it’s about empowering teams to build faster, smarter, and in line with their company’s best practices. A huge thanks to TheCUBE for this honor and to our customers for trusting Tabnine to supercharge their development workflows. 🚀 Check out the moment we received the award. #Tabnine #AI #Developers #TechInnovation #CUBEdAwards