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Author: Michelle Gienow

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Evangelist

Michelle Gienow is a seasoned developer and technical writer, and is co-author of Cloud Native Transformation: Practical Patterns for Innovation from O’Reilly Media. She loves gaming, her dog, and food.

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More posts by this author

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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.
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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.
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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.
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Introducing a new O’Reilly Guide: “The AI-Enabled SDLC”
October 8, 2024
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3 -min read
Download the first three chapters to get a head start on understanding the role of LLMs in software development.
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Transparency from behind the generative AI curtain
July 18, 2024
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5 -min read
As companies invest more money into developing their flagship foundation models, they are becoming less and less transparent about the massive mountains of data they use to train them.
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Getting your org to “Yes!” with AI adoption
June 19, 2024
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5 -min read
Adopting an AI tool requires involving a more diverse set of stakeholders — and involving them more deeply — than you’ve ever had to in previous technical initiatives.