Unboxing Schrödinger’s Dataset: The real level of IP risk in AI generated code
February 10, 2025
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5 -min read
This article takes a deep dive into the true level of IP risk associated with AI-generated code, leveraging recent research from Carnegie Mellon University to separate fact from fiction.
Even high-quality code can lead to tech debt
February 4, 2025
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< 1 -min read
Eran Yahav, Tabnine's CTO and co-founder, spoke with Stack Overflow about software development and AI.…
What Tabnine learned from building an AI code assistant
January 6, 2025
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9 -min read
Developers continue to be both curious and skeptical about AI coding tools, but also ready to use them. Here's what we learned from building ours.
Seven steps to choosing the right AI code assistant
January 3, 2025
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8 -min read
Here are the non-negotiable features and capabilities that should be on your AI code assistant shopping list.
AI coding agents level up from helpers to team players
December 26, 2024
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4 -min read
Coding agents are taking on tasks such as intelligent code generation, code repair, test generation, code reviews, and real-time optimization.
ChatGPT vs. Tabnine: Why AI code assistants are so much more than LLMs
December 10, 2024
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8 -min read
Here are five reasons you should you choose a dedicated AI code assistant like Tabnine over a large language model (LLM) like ChatGPT.
How Tabnine adapts to your organization
December 5, 2024
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9 -min read
Explore how Tabnine goes beyond universal models to deliver precise, context-aware coding assistance, enhancing developer productivity and efficiency.
AI technology: Powering the AI revolution
November 7, 2024
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41 -min read
AI technology can perform many functions that previously could only be performed by humans — including speech recognition, natural language processing, and computer vision.
Real-world machine learning: Models, use cases, and operations
November 7, 2024
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32 -min read
Machine learning systems learn through an iterative process, using their training data to build a mathematical model that can make predictions on the data.
