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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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Simple sabotage for software

Erik Bernhardsson

You can of course make a series of obviously bad decisions, but you'd get fired quickly. Make sure production environment differs from developer environments in as many ways as possible. Leverage any production issue as a reason to “pull the brakes” Introduce very complex processes for code change and common workflows.

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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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When your AI chatbots mess up

CIO

Barely a year after the release of ChatGPT and other generative AI tools, 75% of surveyed companies have already put them to work, according to a VentureBeat report. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete. Minimizing risk Many companies are starting to invest in mitigating risk.

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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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Improve Code Quality with the Best Code Review Tools

Perficient

Introduction: Developers can use code quality check tools to ensure their code is well-written, maintainable, and secure. Furthermore, these tools can identify potential problems in code, such as coding errors, code smells, and security vulnerabilities. Configure SonarQube to connect to your code repository.

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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.