Key Takeaways AI adoption alone does not prove ROI. Teams must measure how AI coding tools impact development speed, software quality, engineering capacity, and overall costs. Developer time saved must translate into business value. Tracking recovered hours,...
Key Takeaways Clear requirements are the foundation of successful product development. Defining measurable requirements and acceptance criteria early helps teams prevent ambiguity and costly rework. Verification and validation serve different purposes. Verification...
Key Takeaways JSM connects IT, development, operations, and business teams to reduce silos, duplicate work, and lost context. Automation and AI reduce repetitive work by streamlining routing, approvals, support requests, and common service tasks. Self-service improves...
Key Takeaways Audit failures often stem from incomplete records, disconnected systems, weak controls, and manual processes. Continuous traceability helps teams capture compliance evidence as part of everyday engineering work. Connecting ALM and PLM creates clearer...
Key Takeaways Integrating Jira Service Management with Slack brings incident response directly into the channels where teams already work, reducing context switching and speeding up triage. Teams can route alerts based on priority and manage incidents directly from...
Key Takeaways JSM scales beyond basic ticketing: Jira Service Management connects IT, customer support, operations, and development on one platform, reducing the silos that can slow growing teams. Native DevOps alignment speeds resolution: JSM connects incidents and...
Key Takeaways Visibility, not complexity, is often the real problem: Disconnected requirements, hardware, software, testing, and quality data make it difficult for teams to understand product status and downstream impacts. Data silos create delays and compliance risk:...
Key Takeaways Eliminate the “blank page problem”: Jira issue templates prefill important fields so users know exactly what information to provide when creating a ticket. Save time and reduce errors: Appsvio’s Issue Templates Agent automates repetitive ticket creation...
Atlassian JSM and Slack Integration Hi, this is Carlos Almeida from SPK and Associates. Today I'll be giving you a short demo on the Atlassian JSM to Slack integration. We want an employee to be able to ask a question inside Slack. If there is an existing knowledge...
Key takeaways Agentic software development goes beyond AI coding assistants: GitLab Duo Agent Platform gives AI agents context across issues, source code, merge requests, CI/CD pipelines, security findings, and development history. GitLab and Gemini combine lifecycle...
Key Takeaways Appsvio Test Management is the first test management app built 100% on Atlassian Forge, letting Jira teams manage the full testing lifecycle (test cases, execution, defect linking) natively inside Jira instead of using spreadsheets or third-party tools....
Artificial intelligence is changing more than just a few engineering tasks. It is completely reshaping how engineering organizations manage requirements, testing, compliance, support, and development. For years, digital transformation has focused on adopting...