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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Some studies tout major productivity increases , while others dispute those results.

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How to Build a High-Performance Team

Hacker Earth Developers Blog

A high-performance team thrives by fostering trust, encouraging open communication, and setting clear goals for all members to work towards. Effective team performance is further enhanced when you align team members’ roles with their strengths and foster a prosocial purpose.

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Case in point: taking stock of the CrowdStrike outages

CIO

It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre. What happened In CrowdStrikes own root cause analysis, the cybersecurity companys Falcon system deploys a sensor to user machines to monitor potential dangers. On July 19, 2024, CrowdStrike released an update , and it crashed user machines.

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5 tips for better business value from gen AI

CIO

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. These reinvention-ready organizations have 2.5 times higher revenue growth and 2.4

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Simple sabotage for software

Erik Bernhardsson

When possible, refer all matters to committees for “further study and consideration” Attempt to make committees as large as possible — never less than five. You can of course make a series of obviously bad decisions, but you'd get fired quickly. Technology When joining, require a 6-18 months rewrite of core systems.

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Bobidi launches to reward developers for testing companies’ AI models

TechCrunch

In the rush to build, test and deploy AI systems, businesses often lack the resources and time to fully validate their systems and ensure they’re bug-free. In a 2018 report , Gartner predicted that 85% of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them.

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The new calling of CIOs: Be the moral arbiter of change

CIO

From fostering an over-reliance on hallucinations produced by knowledge-poor bots, to enabling new cybersecurity threats, AI can create significant problems if not implemented carefully and effectively. We’re also working with the UK government to develop policies for using AI responsibly and effectively.” But it’s not all good news.