Summary Bullets:

• Innovative dev tools extend capabilities to include observability.

• Operations teams will see a boost in GenAI-injected operational workflows.

According to GlobalData’s latest report on 2026 predictions, observability providers will make a big push into DevOps. The industry’s platform providers will focus greater investment in the coming year in providing operations teams with AI-generated capabilities that streamline the critical application deployment portion of the application lifecycle, known for being the most complex piece of app modernization.

Summary Bullets:

• Cisco AGNTCY will be key for infrastructure multi-agentic AI frameworks leveraging security, identity, and interoperability.

• Solo.io highlighted progress in three high-profile agentic AI projects: Kagent, Agent Gateway, and Agent Registry.

The industry’s fall technology conferences have drawn to a close. Dominant themes included agentic AI integration, ecosystem partnerships to fill AI gaps, observability consolidations, and emerging open-source software (OSS) alternatives for enterprise developers.

Summary Bullets:

• Oracle shifts pitch from technology to outcomes, driven by AI-injected tools.

• Oracle APEXLang, slated for 2026, to modernize Oracle’s development practices.

Last week’s Oracle AI World couldn’t have been timelier, attended by customers and partners still buzzing from a corporate earnings report, which triggered the tech giant’s stock to soar based on its mounting investments in AI and cloud infrastructure.

Summary Bullets:

• Agentic AI streamlines workflow automation and transformations.
• Application and automation platforms to integrate agentic AI capabilities in next 12 months.

Digital transformations will receive a major boost over the next 12 months following new platform integrations with agentic AI. The AI-injected solutions will significantly streamline the creation of workflow automation, which are critical to organizations moving to migrate legacy apps to cloud environments in order to realize CICD and improved application lifecycle efficiencies.

Summary Bullets:

• Early agentic AI announcements focus on easing the app development/deployment process

• Agentic technology provides developers with greater access to advanced automation

Over the past few months vendors have made good on their promise, releasing the industry’s first AI agent solutions.

Overwhelmingly, those offerings are targeting enterprise developers, and for two good reasons. First, application platform providers have quickly transformed their AI assistants and copilots used largely for code generation into autonomous AI agents, attractive for their ability to automate more tasks and speed the application lifecycle; and second, the ease to which these agents help streamline new workflow automations provides developers with greater access to AI and data-driven technology previously out of reach due to a lack of expertise.