Google’s new Developer Knowledge API and MCP server provide AI assistants with direct access to up-to-date Google developer documentation.
Turning the Software Factory into an Intelligence Engine
If you’re a technology leader, you need to ask yourself: Are we still building software factories when we should be engineering intelligence?
GitLab Makes AI Add-on for Enterprise Edition of CI/CD Platform Generally Available
GitLab this week made generally available a set of generative artificial intelligence (AI) capabilities that DevOps teams can add on to the continuous integration/continuous delivery (CI/CD) platform it provides. Priced at $39 per user per month, the add-on for GitLab Duo Enterprise provides all the AI capabilities of GitLab Duo Pro along with tools to […]
Developer Survey Surfaces Widespread Reliance on AI
A global survey of 65,437 developers conducted by Stack Overflow finds 62% are already using artificial intelligence (AI) tools, with an additional 14% planning to adopt these tools this year. Additionally, most developers agree that AI tools will be more integrated across the documenting of code (81%), testing code (80%) and writing code (76%), the […]
Oracle Plans to Apply Generative AI to Java and SQL
Oracle is developing a generative AI assistant that uses multiple LLMs to create Java and SQL code. Oracle Code Assist will provide expert, opinionated feedback for code snippets, dependency analysis, error mitigation alternatives, test cases, annotation, summarization and documentation.
Why MTTR is a Vital Metric for DevOps Teams
In DevOps, every second counts. System failures mean your engineers lose valuable time improving software and developing new features. So how do you effectively detect and manage these issues? Mean-time-to-resolve (MTTR) can provide insight into how effectively your DevOps team responds to incidents and how reliable your software is. It’s difficult to know how your […]
Positioning ML Devs and Teams for Success
Intelligent applications are (by their very nature) complex. While conventional software basically consists of one thing (code), intelligent software involves code, models and data. As previously discussed, three distinct fields—DevOps, MLOps and DataOps—have evolved to govern each of these interconnected disciplines. Moving through the ML life cycle quickly and efficiently requires collaboration between teams in […]
Protecting Data from Insider Threats
“Insider threat” can be defined as the threat an employee or a contractor will use their authorized access to, wittingly or unwittingly, do harm to an organization’s security. Certainly, as organizations become data-driven, embrace data democratization and release new applications at breakneck speed, the probability of an insider threat is rising sharply. A common example […]
3 Ways to Support DevOps Teams in Remote Work
As we settle into remote work for the long haul, it’s crucial to consider how best to support DevOps teams. While DevOps employees face similar challenges working remotely as any other department, they also face increased pressure to deliver as IT professionals, supporting the entire organization through an ever-changing work environment. By nature, remote work […]
The Secret to Winning at DevOps: Are You Up for the Challenge?
The main idea behind DevOps is to enable companies to keep up with the increased software velocity and advancements in agile culture for a smoother end-to-end software delivery cycle. The main goal of DevOps is to accomplish integration and automation, which is why implementing this philosophy can be challenging. Not only do you need to […]
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