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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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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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Building your own web application platform is locking you in

CIO

CIOs have shifted toward building their own web application platforms with a set of best-in-class tools for more flexibility, customizations, and agile DevOps. Independently developing, testing, deploying, and scaling your infrastructure requires expertise, agility, and a shift in team responsibilities.

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Generative AI: the Shortcut to Digital Modernisation

CIO

Albeit emerging recently, the potential applications of GenAI for businesses are significant and wide-ranging. Generative AI can help businesses achieve faster development in two main areas: low/no-code application development and mainframe modernisation. percent of the working hours in the US economy.

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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.

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LLMs Demand Observability-Driven Development

Honeycomb

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.

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How to make your web application more secure by using Static Application Security Testing (PART 1 of 5 in Application Security Testing series)

Xebia

During this blog series we are going to look at different types of Application Security Testing (AST), Software Composition Analysis (SCA) and secret scanning. They are used to identify security vulnerabilities in applications. This also entails that DevOps teams and security teams have to work together to get the best results.