As automotive manufacturers accelerate toward software-defined vehicles, the lines between mechanical, electrical, and software engineering are rapidly blurring. To compete in an era defined by electrification, autonomous systems, connectivity, and regulatory...
Automation and AI
How Software Teams Can Measure and Maximize AI Coding ROI
AI coding tools are quickly becoming part of everyday software development. Tools like Cursor, GitHub Copilot, GitLab Duo, and other AI assistants are helping developers generate code, complete repetitive tasks, and review pull requests. Software organizations are no...
How to Blend AI Efficiency with Human-Centered Service in JSM
In IT Service Management, there is often tension between the drive for efficiency and the need for a high-quality customer experience. We are often told that AI and automation are the all-encompassing solutions, yet 95% of consumers still demand a human connection...
5 Key Takeaways from the PTC NEXT for Engineering Teams
PTC NEXT Spring 2026 showcased a clear vision for the future of engineering software: connected product data, AI-powered workflows, modern cloud platforms, and an increasingly integrated digital thread spanning CAD, PLM, ALM, manufacturing, and service operations....
Automating Routine Jira Tasks with the Help of Context-aware AI Agents
Any software developer knows the reality of engineering is not always smooth sailing. Between the deep architectural work and the innovative feature builds, teams are frequently bogged down by routine maintenance, bug fixes, and context-switching. The challenge for...
Connecting AI Assistants to the Tools You Love with the Model Context Protocol
Artificial intelligence is quickly becoming part of the software delivery lifecycle. Development teams are utilizing AI assistants to summarize issues, generate code, review merge requests, explain pipelines, and automate repetitive tasks. However, many organizations...
Automating Issue Creation in Jira with the help of Redmoon Software
Jira users across many teams rely on issues to plan, track, and complete work. Whether you are managing marketing campaigns, IT requests, or product updates, Jira helps keep work visible and organized. However, creating and managing issues manually can quickly become...
The 6 Core Components of an AI Agent and Why They Matter for Your Business
The current engineering landscape is shifting from simple automation to true autonomy. Engineering leaders in regulated industries like medical devices, automotive, and aerospace face a unique challenge. They must modernize their systems while maintaining strict...
Why Backup, Governance, and AI Controls Matter More Than Ever
The rapid integration of Artificial Intelligence into the modern engineering workplace has promised a new era of efficiency. From Atlassian Rovo to GitLab Duo, AI agents are now capable of summarizing complex documentation, generating code, and managing Jira workflows...
From Hype to Roadmap: Your AI Maturity in 90 days
AI shouldn’t be a moonshot—it should be an operating model. In this practical session, SPK experts reveal how to turn scattered pilots into a funded, responsible plan in just 90 days. We’ll walk through AI Launchpad, our assessment and roadmap that benchmarks your...
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...
Utilizing Rovo Agents in Tempo Timesheets
Managing time and tracking productivity is a universal challenge for any team using Jira. Whether you are part of a marketing department, a human resources team, or a project management office, the struggle to maintain accurate records without drowning in manual data...












