SD Times News Digest: Sonar, Nutrient, Outsystems – April 1, 2026
Sonar provides code validation tools for agent development
Following the recent launch of Sonar’s framework for software development in the age of AI, the Agent Centric Development Cycle, the company announced the open beta of three new products to automatically validate code in agent-driven development.
AI agent coding is reinventing the way software is built, generating massive amounts of code at breakneck speed. But testing and validation have started to become bottlenecks in software delivery. To meet that gap, Sonar has taken a new approach to AI code trust and validation, based on guidance, validation and resolution.
The first new release of the guide is Sonar Context automation, which the company said “injects project-specific standards and architecture into AI agent workflows.”
Verification is done with SonarQube Agetic Analysiswhich integrates the Sonar analysis engine into agent actions so that vulnerabilities and logic errors are caught as code is written.
Finally, those problems are fixed SonarQube Remediation Agentthe company said it produces proven fixes for problems in pull applications, as well as removing technical debt from the backlog. In addition, the analysis engine is used to ensure that the issue is resolved without introducing new ones.
To learn more, read the Sonar blog announcement.
Nutrient extends AI Assistant, automating multi-step document workflows
Document intelligence company Nutrient has added agent document editing to its AI Assistant that can access the company’s document tools to complete document workflows within any application.
The company has described the capabilities and features of the document processing agent:
- Agent execution within the viewer: The logic layer plans operations, selects tools, and carries multi-step document tasks to completion using high-fidelity rendering of the viewer and document structure.
- Note, confirm, change: The agent performs sequential actions, checks results, validates results, and adjusts as necessary throughout the release, form fill, annotation, and rework workflow.
- Stage changes with approval: Editing is scheduled for review and is only used permanently after approval, which keeps people in control of the final output.
- Policy-driven autonomy: Organizations define what an agent knows (capabilities), how it works (context), and what it can do (authorization policies) – from completely autonomous actions to severe restrictions.
- Not a one-shot feature: A system that uses a tool designed to perform document work reliably within the application where users are already working.
To learn more, watch a demo or visit https://www.nutrient.io/sdk/
OutSystems Introduces Agentic Systems Engineering
OutSystems, creators of a low-code-based AI development platform, today announced Agentic Systems Engineering, designed to help organizations build, manage, and transform agent-driven enterprise systems.
According to the company, Agentic systems engineering “it addresses the technical complexity and fragmented architecture of modern enterprises that is often hard to imagine. By developing a rich context and the necessary agents, it ensures the delivery of reliable, secure, and compliant systems.” The new Enterprise Context Graph provides an understanding of business architecture – applications, agents, workflows, data and their dependencies – enabling agents to work effectively across systems.
Updated Outsystems Mentor now it brings the production of conversational applications so that teams can build these complex systems in accordance with the architecture and functionality of the tokens, the company says, noting that these capabilities turn developers into highly productive architects.
OutSystems expects to open the early access program to customers in the second quarter of 2026.
To learn more about OutSystems Agetic Systems Engineering, click here.
