Automating code optimisation with LLMs – Michail Basios on the Practical AI Podcast

In an era where technology continually evolves, Large Language Models (LLMs) stand out as transformative agents in the coding world.

Our co-founder and CTO, Michail Basios, appeared on the Changelog’s Practical AI podcast with Daniel Whitenack and Chris Benson, to discuss how these AI-powered tools are revolutionising coding practices, creating a relationship between automated solutions and human intervention.

 

AI-powered code optimisation 

Historically, code optimization was an iterative and manual process, accessible mainly to experts familiar with the specific hardware. But AI has changed the way we view the process. As Whitenack points out, the concept of “code optimisation” is still relatively new and not understood by most. However, this is beginning to change.

Basios explains what is causing this shift, before moving on to explaining the benefits of TurinTech’s platform, Artemis AI, which harnesses the power of LLMs to optimise code and aims to bridge the gap between humans and artificial intelligence. 

He highlights exactly how Artemis does this for developers, including its capability in identifying inefficient code segments and kickstarting the optimisation process. 

 

The evolution of code optimisation

Taking a moment to look back, the pair discuss the history of code optimisation and how, fast forwarding to today, things are entirely different. With LLMs, each version of the code becomes better than the one before.

How is this affecting the role of coders? What will this mean for human creativity in the process, especially with AI’s expanding role in content generation?

 

The future of AI-driven developer tools

There’s palpable excitement about the untapped potential of AI-driven developer tools. The future could result in a world where code inefficiencies are automatically streamlined, heralding benefits for the entire developer community.

The integration of LLMs in the coding ecosystem presents both opportunities and challenges. As developers embark on this transformative journey, the blend of human expertise with AI’s capabilities promises to build the future of coding in unprecedented ways.

Keen to hear more about how LLMs are transforming code optimisation? Listen to the Practical AI podcast here.

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