We’ve seen AI coding assistants boost speed for developers, but also introduce risks like more frequent bugs. How are you balancing AI’s speed with ensuring software quality?
CircleCI’s Post
More Relevant Posts
-
AI assistance in the software development process can be, and often is, a marvellous tool to improve productivity. But as Mike Mason said in a webinar today "Beware of engaging AI and disengaging the brain". We developers still need to know what the code is doing, and how it is solving the problem at hand. Because the day *will* come when we need to return to it, and figure out how to fix or enhance it.
-
Specialization in Software Technologies(hons) at South Eastern University of Sri Lanka | UI/UX enthusiast | IT Executive - Microsoft Dynamics Business Central
Building Software Like a Superhero: AI Takes Coding to the Next Level 👩💻 👨💻 This article explores AI Power-Up: How AI Tools are Revolutionizing Software Engineering. Check it out to learn more about the future of AI in the SE 🌐
-
Join me in a little over 1 hour and hear from our special guest Katie Norton and the team how AI-assisted copilots are changing things up in and around software delivery! We will discuss... what are organizations doing today? And how you can learn some valuable lessons from them. Details 👇
If you are free tomorrow at 11 AM EST, I will be joining Tina Sturgis and Ankur Trivedi from Digital.ai to discuss how AI coding assistants are not only transforming development, but also their impact on the efficiency, velocity, and security of the software development lifecycle (SDLC). Register at the link to join us! https://lnkd.in/dFiejCuY
-
-
Why Ballooning Codebases Require Smarter Tools! As AI enhances our coding capabilities, the challenge of maintaining clean, secure, and scalable codebases grows. Hunter Brooks(Founder, Ellipsis (YC W24)) shares insights on using LLM-powered code reviews to tackle logical bugs and enhance software development workflows Full Episode: YouTube: https://lnkd.in/gC_YbxSS Spotify: https://lnkd.in/gAU3Ua5P Apple: https://lnkd.in/g8YZnKDE
-
Big code means big risk for enterprises. LLM powered code reviews by Ellipsis mitigate that risk while allowing your team to move faster. Learn more: https://ellipsis.dev#demo
Why Ballooning Codebases Require Smarter Tools! As AI enhances our coding capabilities, the challenge of maintaining clean, secure, and scalable codebases grows. Hunter Brooks(Founder, Ellipsis (YC W24)) shares insights on using LLM-powered code reviews to tackle logical bugs and enhance software development workflows Full Episode: YouTube: https://lnkd.in/gC_YbxSS Spotify: https://lnkd.in/gAU3Ua5P Apple: https://lnkd.in/g8YZnKDE
-
Founder Infinity Tech Consulting I Transformation & IT Delivery Leadership I C-Suite Advisory I Drive innovation, ROI & improvement initiatives I Chief Quality Officer I CITP FBCS
6 years ago, I spoke with Johan Steyn about the future of Software Testing and here we are still fighting the noble cause, inconsistent use of terminology, misunderstanding of what Quality is and means, too many tools and features not utilised, how to embed AI, immature software engineering practices and inefficient ways of working. The journey continues as testing continues to evolve.... Johan Steyn #AI #SoftwareTesting #Future
-
-
Future of Coding: Best AI Code Assistants to Watch Out for in 2025 Best AI Code Assistants of 2025 A new era has dawned in software development. Artificial Intelligence is constantly changing the ways code is being written, tes https://lnkd.in/eQi7dumU
-
-
Discover the pros and cons of Generative AI in software testing.
Pros & Cons of Generative AI in Software Testing
-
AI-Driven Code Review: Enhancing Developer Productivity and Code Quality: The intersection of artificial intelligence (AI) and software development has evolved significantly over the past few years, and one of the most ... http://dlvr.it/TGmjDX
The first AI Teammate for DevOps
1moKubiya.ai using tools like infrastructure-as-code (Terraform), SSO/RBAC, BYOM (bring your own LLM), and many other systems