#software-development-lifecycle

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fromAmazon Web Services
2 weeks ago

Building with AI-DLC using Amazon Q Developer | Amazon Web Services

The AI-Driven Development Life Cycle (AI-DLC) methodology marks a significant change in software development by strategically assigning routine tasks to AI while maintaining human oversight for critical decisions. Amazon Q Developer, a generative AI coding assistant, supports the entire software development lifecycle and offers the Project Rules feature, allowing users to tailor their development practices within the platform. Recently, AWS made its AI-DLC workflow open-source, enabling developers to create software using this methodology.
Software development
Artificial intelligence
fromOpenai
2 weeks ago

Building an AI-Native Engineering Team

Advanced AI models now sustain multi-hour reasoning, making end-to-end software development—from planning to deployment—feasible for AI-native teams and cloud agents.
Artificial intelligence
fromInfoQ
2 months ago

QCon AI New York 2025 Schedule Published, Highlights Practical Enterprise AI

Turning AI prototypes into reliable, production-grade systems that scale requires engineering-first practices, experienced practitioners, platform infrastructure, and revised SDLC processes.
fromInfoWorld
2 months ago

The productivity paradox of AI-assisted coding

But many engineering teams are noticing a trend: even as individual developers produce code faster, overall project delivery timelines are not shortening. This isn't just a feeling. A recent METR study found that AI coding assistants decreased experienced software developers' productivity by 19%. "After completing the study, developers estimate that allowing AI reduced completion time by 20%," the report noted. "Surprisingly, we find that allowing AI actually increases completion time by 19%-AI tooling slowed developers down."
Software development
Web development
fromAmazon Web Services
3 months ago

Build a scalable containerized web application on AWS using the MERN stack with Amazon Q Developer - Part 1 | Amazon Web Services

MERN stack web applications benefit from Amazon Q Developer, enhancing coding efficiency and scalability.
fromCmsreport
6 months ago

Static vs Dynamic Security Testing: Key Differences and Use Cases

Application security is critical in a digital world, with security testing like SAST and DAST being essential for identifying vulnerabilities and enhancing security postures.
DevOps
Artificial intelligence
fromDevOps.com
6 months ago

Survey Surfaces AI Contest for the Hearts and Minds of DevOps Engineers - DevOps.com

Organizations are increasingly investing in AI throughout the software development lifecycle.
There's a competitive landscape among application development tools as teams evaluate AI capabilities.
fromDevOps.com
7 months ago

Symbiotic Security Unveils AI Coding Tool Trained to Identify Vulnerabilities - DevOps.com

The goal of Symbiotic Security is to eliminate reliance on alerts generated by cybersecurity teams that are often too late and lack real context.
Artificial intelligence
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