May 8, 2026: AI updates from the past week - Coder Agents Launch, Snyk-Claude partnership, Opsera-Cursor partnership, and more - SD Times - News Bunkers

AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
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Observability is a way for development teams in an organization to view their program state. Failing to provide developers with insight into their tools and processes could lead to unaddressed bugs and even system failures. Read about the latest observability content here
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In the past, the CI/CD pipeline was simply a place to integrate code. Developers would write their code in GitHub, pass it through the pipeline, and then deploy it. The pipeline has become a much more critical piece of the software delivery lifecycle today.
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The Importance of Security Testing
With more development teams today using open-source and third-party components to build out their applications, the biggest area of concern for security teams has become the API. This is where vulnerabilities are likely to arise, as keeping on top of updating those interfaces has lagged.
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Ensure your application’s resilience, and make sure your software performs as expected under diverse operating conditions. (sponsored by Parasoft)
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DevSecOps is the DevOps community’s approach to bringing security into the development lifecycle. Businesses want to deliver software, but cannot afford to release unreliable or insecure applications— therefore security needs to be baked in much sooner than it has traditionally been.
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Securing an application is just as important as building it in the first place. As data becomes more valuable, there are more people who want to steal it and use it for their own personal gain. Making sure applications are indeed secure has always been a challenge, as hackers try to stay one step ahead of defenders.
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Agile software development has been around since the 1990s, but didn’t get the name until the famous meeting of 17 renowned software development thought leaders at Snowbird, Utah resulted in an Agile Manifesto. The idea behind Agile software development is to reduce time to market by enabling faster iterations of smaller segments of software.
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Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
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DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of software development and IT operations as a means for improving and shortening the systems development life cycle.
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Gravitee helps organizations manage and secure their entire API lifecycle with solutions for API design, management, security, productization, real-time observability, and more.

AI, or artificial intelligence, is technology that attempts to simulate human cognitive function. AI has made its way into the software development space in a number of ways. Visit the AI article list to expand your AI knowledge.
Learn More
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of resources, time and assets. It is the practice that truly brings the business side and IT side together as partners in creating value for the organization.
Learn More
Software companies are constantly trying to add more and more AI features to their platforms, and AI companies are constantly releasing new models and features. It can be hard to keep up with it all, so we’ve written this roundup to share some notable updates around AI that software developers should know about.
AI development infrastructure provider Coder has released to beta Coder Agents, a native agent architecture solution that gives enterprises the ability to run AI-driven developer workflows at scale entirely on self-hosted infrastructure and empower developers to use any AI model they desire.
According to the company, Coder Agents help enterprises run those workflows on their own infrastructure, within their network perimeter, without interacting with models, or sending source code or prompts. By running agents on their own infrastructure, organizations can do secure, scalable development under centralized governance.
For platform teams, Coder Agents provides a standardized way to deploy and manage AI agents across the organization. Instead of fragmented tooling and inconsistent configurations, teams can centralize model access, enforce policies, and gain visibility into how agents are used and what they produce. Developers can delegate tasks such as writing code, generating tests, analyzing repositories, and opening pull requests through a conversational interface and API.
Coder research shows that 70% of companies are deploying agents on infrastructure that was never designed to support them, exposing a gap between adoption and enterprise readiness.
AI security company Snyk has announced it has integrated Anthropic’s Claude models into the Snyk AI Securitry Platform to advance software security. This integration delivers AI-driven vulnerability discover, prioritization of vulnerabilities, and developer-ready fixes “across code, dependencies, containers and AI-generated artifacts,” the compny wrote in its announcement.
LLMs are finding vulnerabilities faster than organizations can deal with them. The Snyk platform ranks those findings for priority and creates fixes inside the workflows. Claude’s reasoning capabilities power both ends: sharper discovery and faster, higher-confidence remediation.
“As AI dramatically accelerates how fast developers can write code, traditional security simply cannot keep up,” said Manoj Nair, Chief Innovation Officer at Snyk. “By leveraging Claude’s advanced reasoning within the Snyk AI Security Platform, we are equipping enterprises with an intelligent, autonomous defense system that scales right alongside their AI-driven innovation.”
The integration of Anthropic’s Claude models into the Snyk AI Security Platform is available to joint customers today, with expanded access rolling out through 2026. To learn more, visit snyk.io or contact your Snyk account team.
Agentic DevOps platform provider Opsera has announced a partnership with code assistant Cursor to bridge the gap between developer velocity and enterprise-grade security, compliance and architectural guardrails.
Opsera’s DevSecOps Agents can now be embedded into Cursor’s IDE to ensure that high-speed code generation aligns seamlessly with enterprise standards.
To accelerate development, we must empower developers by natively embedding security, compliance, and architectural standards directly into their workflows," said Kumar Chivukula, Co-Founder and CEO of Opsera. "With Opsera and Cursor, we're
empowering teams to accelerate software delivery with autonomous agents running in the Cursor IDE to guarantee AI-driven velocity is always matched by enterprise-grade delivery."
The integration deploys Opsera AI Agents as a native Cursor plug-in with a single click, instantly enabling access to key agents, including:
The partnership creates a unified ecosystem for the AI-SDLC, merging the inner loop of code creation with the outer loop of production. For developers, security, compliance, and architectural guardrails are built into the Cursor workflow from the first line of code, eliminating late-stage review friction. For software leaders, the system provides a unified intelligence dashboard that tracks ROI, developer experience, and risk posture across the entire AI-SDLC life cycle.
Integration platform provider Prismatic announced Prismatic Skills for Claude Code, a new open source plugin that enables developers to ship integrations faster directly within Claude Code.
Tools like Claude Code can generate high-quality code quickly, but integrations remain a bottleneck because they require deep awareness of authentication, multi-tenant deployment, connector behavior, webhook life cycles, and the operational infrastructure behind them.
Prismatic Skills for Claude Code gives Claude that context. Instead of generating code in isolation, Claude operates with the full understanding of how integrations run in production. The plugin works alongside the Prism MCP dev server, which connects Claude directly to the Prismatic environment, so Skills provides the knowledge and the MCP dev server provides the access. And because Prismatic integrations are code-native in TypeScript, Claude can work with them directly.
“AI coding assistants can generate integration code, but they don’t understand how integrations operate in production,” said Tanner Burson, CTO at Prismatic. “Prismatic Skills gives Claude the context and capabilities to build and operate integrations end-to-end, without leaving the development environment.”
Prismatic Skills supports the full integration life cycle directly in Claude Code and includes:
CNI Builder: Builds or modifies code-native integrations using custom components and existing connectors
Component Builder: Builds custom components for APIs you need to connect to
Embed Advisor: Helps launch customer-facing integration experiences through an embedded marketplace or custom UI
Orby: Monitors and operates your environment, including logs, troubleshooting, and updates
Migration Analyzer: Helps migrate existing integrations to Prismatic
Prismatic Skills for Claude Code is free and open source for all Prismatic customers regardless of plan tier, and is available now on GitHub. For more information, read the blog.
Precisely announced new capabilities in its Data Integrity Suite to help organizations build, share, and use high-qualilty governed Agentic-Ready Data enriched for AI, automation, and analytics initiatives. The release introduces a Data Integration Agent that joins the Gio AI Assistant, a data product marketplace integrated into the Data Integrity Suite through a partnership with Huwise, and expanded APIs are now accessible through a Precisely-hosted MCP (Model Context Protocol) server.
The latest enhancements to the Precisely Data Integrity Suite include:
Data Integration Agent helps teams design and configure data replication pipelines by handling setup, schema mapping, and validation tasks – reducing manual effort, improving consistency, and accelerating time-to-value. This agent joins the previously announced Gio AI Assistant and a growing collection of specialized AI agents for data quality, enrichment, and more.
Data Product Marketplace, available through a partnership with Huwise, the leading provider of data marketplace solutions, enables organizations to publish and share trusted data products for internal and external use, so teams can reuse high-integrity data across the business, collaborate with partners, and power analytics and AI without rebuilding data for each project.
New APIs for Data Integration, Data Quality, and Data Catalog provide programmatic control over data pipelines, quality rules, and metadata – enabling automation and integration into AI-driven workflows.
The Precisely-hosted Model Context Protocol (MCP) Server extends the Data Integrity Suite APIs, enabling AI agents and tools to securely discover, access, and use these capabilities without custom integrations. This builds on Precisely’s previously released MCP server, which focused on location intelligence and data enrichment APIs.
“Organizations are eager to scale AI, but data readiness remains the biggest obstacle,” said Matt Waxman, Chief Product Officer at Precisely. “With the latest release of the Data Integrity Suite and our partnership with Huwise for the Data Product Marketplace, we are helping customers turn their data into a trusted, reusable asset that can directly power AI applications and agent-driven workflows.”