Tabnine

🎬 This Week! Live Event: AI Coding Without the Cost Spiral. How Lightweight Local LLMs Deliver Predictable, Governed Enterprise-Scale Productivity As AI coding adoption scales across the SDLC, two issues surface quickly: runaway LLM costs and operational complexity. The assumption that only massive cloud models can deliver meaningful developer productivity is no longer holding up. We’ll show how Tabnine enables teams to run lightweight local models, including MiniMax and GLM, while still delivering high-quality, context-aware AI coding. The result: predictable costs, stronger data controls, and faster enterprise-wide adoption without sacrificing governance. 👉 Save your seat before we go live on Jan 21. https://lnkd.in/eSFXJDdM #AICoding #EnterpriseAI #DeveloperProductivity #LocalLLMs #AIGovernance

🎬 This Week! Live Event: AI Coding Without the Cost Spiral. How Lightweight Local LLMs Deliver Predictable, Governed Enterprise-Scale Productivity As AI coding adoption scales across the SDLC, two issues surface quickly: runaway LLM costs and operational complexity. The assumption that only massive cloud models can deliver meaningful developer productivity is no longer holding up. We’ll show how Tabnine enables teams to run lightweight local models, including MiniMax and GLM, while still delivering high-quality, context-aware AI coding. The result: predictable costs, stronger data controls, and faster enterprise-wide adoption without sacrificing governance. 👉 Save your seat before we go live on Jan 21. https://lnkd.in/eSFXJDdM #AICoding #EnterpriseAI #DeveloperProductivity #LocalLLMs #AIGovernance

CIO.com DEMO time! As enterprises push AI deeper into the SDLC, CIOs are facing a hard constraint: how to accelerate delivery without creating security risk, compliance exposure, or long-term technical debt. In this CIO.com DEMO episode, Josh Heidebrecht walks through how Tabnine enables faster AI-generated code at enterprise scale, while enforcing governance, standards, and data isolation. This is a practical look at how AI coding moves from “vibe coding” to governed, production-ready development. Link in comments! 👇 #CIO #EnterpriseAI #SoftwareEngineering #AIGovernance #DevSecOps #AIinTheEnterprise

AI Coding for Safety-Critical Systems: Why “Vibe Coding” Fails Aerospace & Defense! Speed matters in Aerospace & Defense, but un-governed AI coding is creating a productivity paradox. Recent empirical research shows experienced developers using generic AI tools took 19% longer to complete work in high-quality environments, despite believing they were faster. The reason is familiar to anyone shipping certified systems: AI without context creates technical debt, security gaps, and audit risk. In safety-critical domains, “vibe coding” isn’t innovation, it’s liability. Our latest paper outlines why A&D organizations need to move from speculative AI assistance to governed creation, where AI operates inside certification constraints, security boundaries, and enterprise truth. https://lnkd.in/eTtcf4B4 #Aerospace #Defense #SafetyCritical #AIinEngineering #SecureAI #DO178C #ITAR #SoftwareAssurance

🚨 Webinar | January 21, 2026 | 11:00 AM ET AI Coding Without the Cost Spiral: How Lightweight Local LLMs Deliver Predictable, Governed Enterprise-Scale Productivity As enterprises scale AI across the SDLC, two issues consistently slow adoption: • Unpredictable LLM costs • Escalating infrastructure complexity The assumption has been that only massive, cloud-hosted models can deliver real AI coding productivity. That assumption is now outdated. Ory Yassur - Chief Product Officer at Tabnine, will show how lightweight local LLMs, when paired with the right architecture, can deliver high-quality, context-aware AI coding assistance at a fraction of the cost, with stronger governance and data control. 📅 January 21, 2026 ⏰ 11:00 AM ET 🔗 Register here: https://lnkd.in/e9TKzrtN #EnterpriseAI #AICoding #LLMOps #DeveloperProductivity #AIGovernance #PlatformEngineering

Proud moment for the Tabnine team! Tabnine has been named InfoWorld’s 2025 Technology of the Year. This recognition matters because it validates a very specific belief we’ve held from the start: AI for software development must be governed, secure, and context-aware, or it fails at enterprise scale. While much of the market chased “wow moments,” we focused on:  • Trust and control  • Enterprise context  • Real, measurable developer productivity  • Deployment flexibility: SaaS, VPC, on-prem, air-gapped This award isn’t about novelty. It’s about building AI that engineering leaders can actually put into production. Huge credit to the engineers, product leaders, and customers who helped shape this platform. Thank you, InfoWorld. #TechnologyOfTheYear #EnterpriseAI #DeveloperProductivity #SecureAI #Tabnine https://lnkd.in/e5SEhQpu

🚀 We’re excited to announce support for NVIDIA Nemotron 3 — the next generation of open AI models for specialized AI! Developers can now build faster and smarter with: • 🔥 Up to 4× faster token generation vs. Nemotron 2 • 💡 Efficient & predictable inference for thinking budgets • 📘 1M-token context — ideal for long, consistent agent workflows • 🧠 Top accuracy on leading agentic benchmarks • 🔓 Fully open for maximum control and flexibility And with Tabnine integrated on Nemotron 3, developers get next-level coding productivity in their IDE — AI-assisted development that understands large context and keeps workflows flowing. Build more, debug less. 💻✨ #AI #NVIDIA #Nemotron3 #Tabnine #DeveloperTools

🚀 We’re excited to announce support for NVIDIA Nemotron 3 — the next generation of open AI models for specialized AI! Developers can now build faster and smarter with: • 🔥 Up to 4× faster token generation vs. Nemotron 2 • 💡 Efficient & predictable inference for thinking budgets • 📘 1M-token context — ideal for long, consistent agent workflows • 🧠 Top accuracy on leading agentic benchmarks • 🔓 Fully open for maximum control and flexibility And with Tabnine integrated on Nemotron 3, developers get next-level coding productivity in their IDE — AI-assisted development that understands large context and keeps workflows flowing. Build more, debug less. 💻✨ #AI #NVIDIA #Nemotron3 #Tabnine #DeveloperTools

AI coding platforms are evolving from “developer tools” into a new operating layer of the enterprise SDLC — and most buyers still evaluate them like plugins. That mismatch is creating real risk. In our new Buyers Guide, we break down why selecting an AI coding platform now requires the same rigor as choosing a database, CI/CD pipeline, or security boundary: 🔒 Trust & IP protection can’t be optional 🏛️ Governance and control planes are becoming required architecture 🏗️ Context is the difference between productivity and technical debt 🏢 Deployment choice determines whether AI aligns with your security model — or breaks it If you’re navigating this transition, this guide will help you build a repeatable, defensible evaluation framework your engineering, security, and legal teams can agree on. 🎥 Here’s the quick video explainer. Full guide in comments.

🎙 New episode of the Unprompted Podcast: “AI Testing, Context, and the Future of Software Quality” In this episode, we sit down with Alex Martins from Katalon to unpack one of the most overlooked, and transformative, ideas in modern software quality: context. For years, testing has chased automation, faster execution, broader coverage, fewer errors. But as Alex explains, automation without context doesn’t equal intelligence. The real leap forward isn’t just about running more tests, it’s about giving AI the situational awareness to know what to test, why to test it, and how to validate real-world behavior. https://lnkd.in/enmZGQyi #AITesting #SoftwareQuality #AIInSoftware #ContextIsKing #EnterpriseAI #AITestAutomation #SoftwareTesting #QualityEngineering #TestAutomation #AIEngineering