Platforms, pipelines and the tooling layer. How engineering teams actually ship software.
Administrators can now manage which Model Context Protocol servers developers access through a new registry system and allowlist controls in preview builds of popular IDEs.
GitHub's autonomous Copilot coding agent can now be delegated tasks directly from JetBrains IDEs in public preview, handling background work while developers focus elsewhere.
Organizations and individual developers can now tailor their Copilot coding agent with specialized behaviors by deploying configuration files to designated repository locations.
GitHub has expanded its command-line interface for Copilot with customizable agent personas and the ability to offload coding tasks to an autonomous background agent.
Developers using IntelliJ IDEA can now leverage AI-powered modernization tools directly within the IDE, automating application assessment, code updates, dependency patching, and containerization workflows.
JFrog's chief strategy officer outlines how the company is positioning itself for an AI-transformed development landscape while maintaining the balance between rapid delivery and regulatory compliance.
Machine learning and automated workflows can help teams manage alert overload by suppressing low-priority notifications, anchoring thresholds to service level objectives, and handling routine remediation tasks automatically.
Generative AI alone cannot reliably handle enterprise-scale code modernization. The solution lies in combining AI's strengths with deterministic refactoring frameworks that provide precision, verifiability, and safe change at scale.
