Remove Examples Remove Software Development Remove Software Review Remove Weak Development Team
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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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8 questions to answer before your startup faces technical due diligence

TechCrunch

Will your organization and your code pass technical due diligence when it’s your turn? Let’s start with the positives: If an investor is proceeding with technical due diligence (TDD), you’ll likely pass. Here’s the not-so-good news: Companies can pass the business test, but fail TDD.

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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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Mending the rift between business stakeholders and development teams

Xebia

In today’s business world, the synergy between stakeholders, product management and development teams are paramount. Customer’s problem At one of our major clients at Xebia customers complained, that the project velocity was inconsistent, while the development team seemed perpetually busy.

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When your AI chatbots mess up

CIO

Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete. For engineers, AI-generated code used in software development may contain security vulnerabilities or intellectual property ingested during training. The rate of occurrence runs between 3% and 8% for most generative AI platforms.

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Insights from your JIRA data to help improve your team

Xebia

Many teams are using Atlassian’s JIRA as an issue tracker, which then becomes a valuable source of information for their daily operations. As a team leader utilizing JIRA, you probably have employed JIRA dashboards to monitor the status of work, usually in context of a (release) planning. Colors represent the status category.

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Static vs Dynamic Code Analysis: How to Choose Between Them

OverOps

What’s the difference between static and dynamic code analysis, and how do you know which to use? Static code analysis is analogous to practicing your baseball swing with a practice net and a pitching machine. Static Code Analysis. This is usually done by analyzing the code against a given set of rules or coding standards.