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The early returns on gen AI for software development

CIO

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence.

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Top Sourcing Tools for Recruiters in 2024: Free and Premium Options

Hacker Earth Developers Blog

That’s the power of sourcing tools. In today’s competitive talent market, recruiters need smart, efficient tools to find the hidden gems lurking online. That’s where sourcing tools come in, acting as your secret weapon in the battle for top talent. So, how exactly do sourcing tools work their magic?

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The Hidden Gem of Savings in the Software Delivery. And no, it’s not AI

CIO

According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.

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5 Tips for Successfully Implementing Behavior-Driven Development in Your Team

Gorilla Logic

Have you ever been part of a team where tickets are hard to understand or don’t supply enough detail for the team to properly work? Experiences like these make many developers think about using Behavior-Driven Development (BDD). Know your team members You work with your team every day and know them well.

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LLMs Demand Observability-Driven Development

Honeycomb

Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time. Namely, that LLMs are black boxes that produce nondeterministic outputs and cannot be debugged or tested using traditional software engineering techniques.

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Agile, Stand-ups, TDD and Code Reviews

The Programmer's Paradox

These two things tend to make agile an excellent fit for startups and an impossibly bad fit for large projects in large organizations. A big problem in development, particularly when a lot of people are introverts, is communication. Mostly that is a bad idea. We see the same kinda thing with unit testing.