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Introducing The Forrester Tech Tide™: Software Development, Q4 2024 

Forrester IT

As all organizations recognize they are (at least in part) software companies, questions arise. Which software development technologies have staying power? Forrester studied 18 technologies used in software development that have […] Which are just a flash in the pan?

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New study on coding behavior raises questions about impact of AI on software development

GeekWire

(AI image made with Microsoft’s Image Creator) Software development is one of the early use cases for generative AI. But while AI may boost production, it could also be detrimental to overall code quality, according to a new research project from GitClear , a developer analytics tool built in Seattle.

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Unlocking the potential of generative AI in the software development life cycle

CIO Business Intelligence

Generative AI is poised to redefine software creation and digital transformation. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. advertising, marketing, or software development).

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7 foolproof steps to choose a trustworthy medical software development company

Dataconomy

Choosing the perfect medical software development company can feel like a needle-in-a-haystack challenge. Is there a foolproof strategy to ensure you choose healthcare software development services correctly? Actionable Tip: Ask for specific examples of healthcare software they have developed.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

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. Some studies tout major productivity increases , while others dispute those results.

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Agentic AI design: An architectural case study

CIO Business Intelligence

While that is true, your development teams may not be ready to implement yet. Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed. Let’s review a case study and see how we can start to realize benefits now.

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Devs gaining little (if anything) from AI coding assistants

CIO Business Intelligence

Many developers say AI coding assistants make them more productive, but a recent study set forth to measure their output and found no significant gains. Use of GitHub Copilot also introduced 41% more bugs, according to the study from Uplevel, a company providing insights from coding and collaboration data.

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