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The Top 20 Symptoms of a Weak Development Team

TechEmpower CTO

When speaking with founders and CEOs, we often hear concerns like this: My project manager is losing confidence in the development team. I think that poor communication and differing team cultures might be part of the problem, but how can I know for sure? These are the worries that keep team leads up at night.

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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.

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The 12 Most Effective Employee Selection Methods for Tech Teams

Hacker Earth Developers Blog

When hiring for tech roles, selecting the right candidate is critical to building a successful, high-performing team. In this blog, we will explore the 12 most effective employee selection methods, with a particular focus on how they apply to tech teams. React or Angular) and back-end technologies (e.g., or Python).

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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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7 ways gen AI can create more work than it saves

CIO

But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale. With our attention split too much, people might start making bad decisions, she adds. “It Generally, there’s optimism and a positive mindset when heading into AI.”

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When is data too clean to be useful for enterprise AI?

CIO

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

Efficient collaboration and streamlined deployment processes are crucial in modern development workflows, especially for teams working on complex projects. Feature branches and stack-based development approaches offer powerful ways to isolate changes, test effectively, and ensure seamless integration. Feature branches!