# Intel Open-sources AI-powered Tool To Spot Bugs in Code

**URL:** <https://onehack.st/t/intel-open-sources-ai-powered-tool-to-spot-bugs-in-code/204990>\
**Category:** News & Articles\
**Tags:** programming, technology\
**Created:** [October 23, 2021, 1:29pm UTC](https://onehack.st/t/intel-open-sources-ai-powered-tool-to-spot-bugs-in-code/204990 "2021-10-23T13:29:39Z")\
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**Author:** ![TheStrength](https://onehack.st/user_avatar/onehack.st/thestrength/32/46753_2.png) [@TheStrength](https://onehack.st/u/TheStrength)\
**Post date:** [October 23, 2021, 1:29pm UTC](https://onehack.st/t/intel-open-sources-ai-powered-tool-to-spot-bugs-in-code/204990/1 "2021-10-23T13:29:39Z")

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[https://venturebeat.com/wp-content/uploads/2021/09/GettyImages-1208499003-e1631641886627.jpg](https://venturebeat.com/wp-content/uploads/2021/09/GettyImages-1208499003-e1631641886627.jpg)

Intel has [open-sourced ControlFlag](https://venturebeat.com/2021/10/20/intel-open-sources-ai-powered-tool-to-spots-bugs-in-code/) , a tool that uses machine learning to detect problems in computer code – ideally to reduce the time required to debug apps and software. From a report:

_In tests, the company’s machine programming research team says that [ControlFlag](https://venturebeat.com/2020/12/03/intels-controlflag-taps-ai-to-automatically-detect-errors-in-code/) has found hundreds of defects in proprietary, “production-quality” software, demonstrating its usefulness. “Last year, ControlFlag identified a code anomaly in Client URL (cURL), a computer software project transferring data using various network protocols over one billion times a day,” Intel principal AI scientist Justin Gottschlich wrote in a blog post on LinkedIn._

 

_“Most recently, ControlFlag achieved state-of-the-art results by identifying hundreds of latent defects related to memory and potential system crash bugs in proprietary production-level software. In addition, ControlFlag found dozens of novel anomalies on several high-quality open-source software repositories.” The demand for quality code draws an ever-growing number of aspiring programmers to the profession. After years of study, they learn to translate abstracts into concrete, executable programs – but most spend the majority of their working hours not programming. A recent study found that the IT industry spent an estimated $2 trillion in 2020 in software development costs associated with debugging code, with an estimated 50% of IT budgets spent on debugging._