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Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Building a Data Warehouse with the Astera AI Agent: From Prompt to Insight
Establishing a data warehousing system that meets all your business intelligence targets is by no means an easy task. It traditionally involves profiling source systems, designing a dimensional model by hand, writing the DDL to deploy it, building the load pipelines, and scheduling them to run, work that can take weeks. Astera's manual, step-by-step approach to this is covered in Building a Data Warehouse – A Step by Step Approach.
Pyroscope + Proxymock to Solve Performance Problems
This video provides a step-by-step demonstration of how to record an application's real-world traffic and generate an automated sandbox environment for debugging and testing.
From Recommendation to Action: Scaling Autonomous Databricks Optimization in the Enterprise
Every Databricks optimization platform can tell you what should change. The harder question is: when should a system be trusted to make that change on its own? This session follows the journey of an Unravel customer as we moved from surfacing Databricks platform optimization recommendations to safely applying them in production. Prajakta will talk about the engineering decisions, the guardrails, and the trust model that made autonomous optimization possible in an environment where every change carries operational risk.
P4 One Experiments: Test New Ideas in Unreal Engine | Perforce
Join Josh Sherwood, Perforce Principal Software Engineer, for a walkthrough of P4 One Experiments, Perforce's newest plugin for Unreal Engine. If you've ever wanted to try a new idea in your Unreal project (an alternate character model, a new level layout) without risking your main project, this plugin is built for exactly that.
AgentSpot for Finance - Automating Lease Accounting Agent
Discover what’s possible with AgentSpot as Sheila showcases an AI agent ("Leasey") built to automate lease accounting. From analyzing contracts to creating calculations, schedules, and audit documentation, this workflow shows how teams can use agents to streamline everyday business processes. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.
A New Dawn: Enterprise AI's Shadow - Trillions of Tokens, Zero Governance
You Can't Govern What You Can't See A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity. *AI spending will reach $2.59 trillion in 2026.* I regularly like to share what we're seeing in production at Kong.
What Are AI Agents Actually Doing When They Talk to Each Other?
You've probably seen the demos. An AI model kicks off a task, hands pieces of it to other AI models, and somehow the whole thing gets done. Emails drafted, code reviewed, reports summarized — all without a human in the loop. While a single agent doing one thing is impressive, the true paradigm shift occurs when transitioning from single-agent to multi-agent AI systems. It looks like magic. It isn't.
Simba Intelligence Wins Best Semantic Layer Solution at the DBTA Reader's Choice Awards
Database Trends and Applications (DBTA) has released its 2026 Readers’ Choice Awards, a competition voted on by DBTA readers to recognize the best information management products, services, and solutions. This year, we’re proud to announce that Simba Intelligence was voted Best Semantic Layer Solution. Here, we discuss the award and why a semantic layer shouldn’t be an afterthought to your data and analytics strategy.
Agentic Engineering and the Agentic Software Factory for Real-Time Data Products
Software workloads that process large volumes of real-time data are becoming common. Decades working in this domain has taught me that building and operating reliable and maintainable real-time data products requires permissive access to the context of the environment. This article explains how to approach agentic engineering and apply it when building real-time data products inside an agentic software factory.