Engineering leaders in regulated industries cannot afford black box migrations. When your product development involves complex mechatronics and strict safety compliance, the transition from Bitbucket to GitLab must be surgical. A fragile web of integrations often...
Darla Kost
Revealing the Benefits of the Agentic Engineering Shift at GitLab
The software development space is currently undergoing a significant transformation. At SPK and Associates, we have spent over 20 years helping engineering organizations navigate the complexities of ALM, DevOps, and regulated product development. We have seen the...
Agentic AI for Everyone with GitLab 18.10
GitLab is doubling down on one of the most transformative trends in software development with its newest update: agentic AI. This update introduces intelligent, autonomous agents that can actively participate across the entire DevSecOps lifecycle. From planning and...
Unifying MBSE and Software Development: GitLab Duo + SysML v2
Modern products such as automobiles, aircraft, and industrial equipment rely heavily on embedded software. This software (that may be running on electronic control units, sensors, and microcontrollers) must integrate tightly with the physical system architecture...
AI and the Future of DevSecOps: Turning Obstacles into Opportunities
Software development teams are under constant pressure to deliver new features faster. Balancing this with maintaining strong security and compliance standards isn’t always easy. Artificial intelligence is rapidly changing that. AI-powered tools are helping...
Is GitHub Costing More Than It Should?
CI/CD is an important aspect of software engineering that directly impacts engineering velocity, release confidence, and total cost of ownership. So, with the upcoming 2026 pricing changes to GitHub Actions, many teams are asking a fair question: Are we paying the...
From 18-Month Releases to Continuous Delivery: Real-World GitLab Success Stories
For many enterprises that build software, long release cycles, fragmented toolchains, and manual handoffs still slow innovation. It is not uncommon to find organizations stuck in 12- to 18-month delivery timelines, struggling to balance speed, security, and...
GitLab Duo Agent Platform: Building, Customizing, and Connecting AI agents
Artificial intelligence is rapidly transforming how software teams work. Early AI tools focused on code suggestions and chat-based assistance. Today, the next evolution is underway: intelligent agents that actively participate in development workflows. GitLab’s new...
GitLab Earns a Leader Spot in 2025 Gartner DevOps MQ
Enterprise software delivery is at a turning point. Organizations are under pressure to move faster and meet rising security expectations, all while managing increasingly complex toolchains. In this context, platform strategy matters more than ever. For the third...
Unifying Dev, Sec, and Ops: How GitLab’s All-in-One Platform Accelerates Innovation
Modern software teams are expected to ship faster, build more securely, and maintain reliability at scale, often while juggling a sprawling toolchain. The reality is sobering. 69% of developers spend at least a quarter of their time maintaining and integrating tools,...
What You Should Know About GitLab 18.5
GitLab continues to push its platforms toward an AI-powered, secure, and collaborative DevSecOps experience. The release of 18.5 builds upon major innovations from 18.2 through 18.4. It is extending agentic workflows, expanding security automation, improving user...
The Impact of an AI-Powered DevSecOps Platform
Modern software teams are battling rising complexity. Toolchains keep expanding, DevSecOps processes are fragmented, and developers are spending more time managing systems than innovating. In fact, most organizations now juggle 2–10 different DevOps tools. Add in...












