Brief

Glean has launched a new AI coworker product designed to enhance enterprise productivity beyond traditional search capabilities. This AI coworker understands company-specific context and can execute end-to-end workflows across various systems, automating repetitive tasks and facilitating data-driven decision-making. Glean differentiates itself through deep enterprise and personal context awareness, robust permission-based security, and model agnosticism, aiming to provide accurate, trustworthy, and scalable AI execution for businesses. AI

AI code review tools are becoming integrated into standard development workflows, offering to summarize changes, identify patterns, and flag missing tests. However, these tools are not yet a replacement for human code reviewers, as data indicates they can increase abandonment rates and produce a high volume of low-value comments. Effective implementation requires careful rule-setting, a narrow scope, and continuous measurement rather than simply choosing a vendor. AI

Two developers describe building custom AI assistants to streamline project management tasks, particularly report generation and data visualization from tools like Jira. One project, AtlasMind, uses a multi-backend architecture with a self-correcting JQL loop to translate natural language queries into Jira reports and charts, running on Oracle Cloud Infrastructure. The other project focuses on a secure, on-premise, CPU-only agent using Ollama and Gemma 4 to process developer reports, normalize data, and generate accomplishment lists while prioritizing data privacy for enterprise clients. AI

Cursor, an AI-powered integrated development environment, has announced new integrations with Jira. Users can now assign Cursor to work items directly within Jira or trigger a cloud agent by mentioning @Cursor in comments. The tool can then generate merge-ready pull requests by analyzing the work item's title, description, comments, and team repository settings. AI