AI Data Preparation: 5 Steps to Smarter Machine Learning
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Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Metrics That Matter for Agentic Testing
Traditional test metrics like automation %, pass/fail rates, and defect counts don’t reflect the impact of introducing agents into the QA process. This blog explores a new class of KPIs designed to measure how well your virtual test team is performing including Agent Assist Rate, Human Override Rate, Scenario Coverage Delta, and Review Time Saved.
IAM for Agentic AI : Episode 03 - Deep dive into #Asgardeo's Agent Identity Capabilites
In Episode 3 of our *"IAM for Agentic AI"* series, we take a closer look at practical solutions for securing your AI agents with Asgardeo. As promised, Geethika Cooray and Ayesha Dissanayaka return to provide a deep dive into Asgardeo's IAM capabilities specifically designed for AI agents. Ayesha walks through a live demo, showcasing how Asgardeo can securely enable AI capabilities within your existing business systems.
Introducing the Volcano SDK to Build AI Agents in a Few Lines of Code
Today, we're open-sourcing Volcano SDK, a TypeScript SDK for building AI agents that combines LLM reasoning with real-world actions through MCP tools. Why Volcano SDK? One reason: because 9 lines of code are faster to write and easier to manage than 100+. Without Volcano SDK? You'd need 100+ lines handling tool schemas, context management, provider switching, error handling, and HTTP clients. With Volcano SDK: 9 lines. Look how we compress 100+ lines with the following example: That's it.
Introducing New MCP Support Across the Entire Konnect Platform
If you’ve been following Kong, you know that Kong was the first in the API platform space to introduce an enterprise-grade AI Gateway for LLM workloads. Today, we’ve also introduced a new enterprise-grade MCP Gateway to ensure that you can roll out production-ready MCP deployments. But we are focused on more than just the Gateway. Today, we’re excited to announce additional MCP workflow support in the Konnect Developer Portal and a brand new MCP integration solution, the MCP Composer.
Katalon Product Roundup August 2025
In August, Katalon delivers a blend of AI intelligence and enterprise readiness. From TestCloud’s flexible configurations and TestOps’ new AI-powered root cause analysis, these updates enable teams to debug smarter, share insights more widely, and maintain quality at scale.
Why Fast Analytics Unlocks Smarter Decisions (and AI Readiness)
A few years ago, we looked across many deployments and noticed a pattern: teams would build prototypes, spin up ML pipelines, and then stall. The model’s accuracy dropped. The “aha insights” dried up. The data scientists would get stuck waiting for dashboards to refresh, or data to be cleaned.AI is sexy. It sells. But it doesn’t do itself. The missing piece? Data readiness. Not just fast data.
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Testing AI Code in CI/CD Made Simple for Developers
Generative AI can produce code faster than humans, and developers feel more productive with it integrated into their IDEs. That productivity is only real if CI/CD tests are solid and automated. When not appropriately tested, you may encounter a production issue that you haven't seen before. According to the State of Software Delivery 2025 report, 67% of developers spend more time debugging and resolving security vulnerabilities in code generated by AI. That cancels out the efficient gains that they get from faster AI code generation.
How Microsoft And Snowflake Are Making Open, Interoperable Data Stacks A Reality For The AI Era
Snowflake CEO Sridhar Ramaswamy chats with Microsoft Chairman and CEO Satya Nadella on the market shift toward open, interoperable architectures to enable enterprises to do more with their data. Hear how Microsoft and Snowflake are partnering to help customers build an enterprise-ready data foundation with deeply integrated solutions for migrations, open lakehouses, data sharing and AI.
Fivetran & dbt: Why the future of data must be open and reliable
How openness and reliability are redefining the foundation for AI.