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AI-native software engineering may be closer than developers think

CIO Business Intelligence

With existing, human-written tests you just loop through generated code, feeding the errors back in, until you get to a success state.” This requires some advanced tooling, multiple agents, and likely gets the best results with multiple models all working towards a common end state,” Davis says.

Software 141
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The Quality of Auto-Generated Code

O'Reilly on Data

To get to this point, we may need a meta-language for describing what we want the program to do that’s almost as detailed as a modern high-level language. But what if we don’t get to the point where we trust automatically generated code as much as we now trust the output of a compiler? First, we wondered about code quality.

Testing 363
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The Next Generation of AI

O'Reilly on Data

So they have developed a lot of techniques for generating “synthetic” data: for example, cropping, rotating, or distorting pictures to get more data for image recognition. So is ShadowSense , which uses image analysis to let robots determine when they are touched. Using NLP to analyze mutations?

Modeling 364
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The Alignment Problem Is Not New

O'Reilly on Data

And even if AI is still subject to our wishes, might its creators—or its users—make an ill-considered wish whose consequences turn out to be catastrophic, like the wish of fabled King Midas that everything he touches turn to gold? The consequences, like those of Midas’s touch, aren’t pretty. Humans are seen as a cost to be eliminated.

Risk 321
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12 AI predictions for 2025

CIO Business Intelligence

According to a Bank of America survey of global research analysts and strategists released in September, 2024 was the year of ROI determination, and 2025 will be the year of enterprise AI adoption. But for many business use cases, LLMs are overkill and are too expensive, and too slow, for practical use.

Software 141
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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. Agentic AI is the new frontier in AI evolution, taking center stage in todays enterprise discussion. AI agents topped Forresters 2024 trend list, and Salesforce expects one billion in use by the end of fiscal year 2026.

IT 139
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Can Language Models Replace Compilers?

O'Reilly on Data

Kevlin Henney and I recently discussed whether automated code generation, using some future version of GitHub Copilot or the like, could ever replace higher-level languages. It’s not really an academic question. Google’s Bard has similar capabilities. At almost every stage of programming history, there has been a repository of determinism.

Modeling 345