This extends to the software development community, which is seeing a near-ubiquitous presence of AI-coding assistants as teams face pressures to generate more output in less time. While the huge spike in efficiencies greatly helps them, these teams too often fail to incorporate adequate safety controls and practices into AI deployments. The resulting risks leave their organizations exposed, and developers will struggle to backtrack in tracing and identifying where - and how - a security gap occurred.
AWS claims the vibe coding IDE Kiro is designed to avoid all the pitfalls of letting AI do your development, like surprise drive deletions and database wipeouts. Users will have to put a lot of trust in those claims. Aside from those worst-case scenarios, AWS is fully aware that AI coding tools have "introduced new friction" into developers' workloads. "You can find yourself acting as the human 'thread' that holds work together," AWS said, describing scenarios like contextualizing tasks, manually coordinating cross-repository changes, and collating information across tickets and pull requests.
All programmers, from hobbyists to those working at Microsoft or Google, use open-source software, which is present in between 70% and 90% of the computer applications we use today. No one starts a project from scratch; instead, they turn to libraries like GitHub or GitLab to download packages of code already written, reviewed, and improved by the community. Developers spend an average of two-thirds of their time adapting open-source software to their needs, and they build their application on top of that.
The Safe C++ proposal, which sought to introduce a memory-safe subset of the language inspired by the guarantees found in newer languages like Rust, has been abandoned by its lead author. This development occurs as pressure mounts from government agencies and industry leaders to address critical vulnerabilities often found in legacy codebases, which form the backbone of global digital infrastructure.
JFrog (NASDAQ: FROG) stunned investors with a blowout third quarter that sent shares soaring more than 24%. The DevOps platform provider not only delivered its eighth straight beat on both revenue and earnings but also showcased accelerating cloud adoption, record profitability, and a growing foothold in AI-driven software delivery. Here are three key takeaways from the results and management's commentary.
She called vibe coding a beautiful, endless cocktail napkin on which one can perpetually sketch ideas. But dealing with AI-generated code that one hopes to use in production can be "worse than babysitting," she said, as these AI models can mess up work in ways that are hard to predict. She had turned to AI coding in a need for speed with her startup, as is the promise of AI tools.
"Attackers are no longer simply experimenting with open source. The numbers are telling us that threat actors have identified data as the most profitable target, and developers as the easiest way in."
"Everyone talks about shifting left, but few are seeing the security gains they expected. Most organizations have tools in place, but they still struggle with noise, process friction, and developer resistance."
