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Modern Software Development For Today's Systems & Applications
Real-Time Audit Logs for AI Data Access Compliance | DreamFactory
Here’s the problem: Real-time audit logs solve this by: Without real-time monitoring, organizations risk delayed threat detection, compliance violations, and costly breaches. This article explains how real-time audit logs improve security, ensure compliance, and provide visibility into AI-driven data access.
Hands-on Session: Unlock AI-Powered Data Engineering on Snowflake
Your data team doesn’t need more tools. It needs fewer bottlenecks. What if you could go from raw data to production-ready pipelines and AI workflows in a single day? With Snowflake’s Cortex Code, teams can now build, optimize, and deploy data workflows using natural language, dramatically accelerating development inside the warehouse.
How AI Improves Decision-Making Across the Software Delivery Lifecycle
In modern software development, speed is no longer the biggest challenge. Most organizations have adopted agile practices, CI/CD pipelines, and automation frameworks that enable rapid delivery. What slows teams down today is uncertainty. Stakeholders constantly face critical questions: When answers rely on scattered reports, manual interpretation, or partial visibility, decision-making becomes reactive, leaders will hesitate.
Don't trust AI agents on Kafka. Unless you have OAuth 2.1. (Live)
Every engineering team is onboarding AI agents. Most are doing it without a governance model - static API keys, no audit trail, no way to revoke access if something goes wrong. Join us on April 15th as we go live on the topic everyone is talking about but few are solving: how to govern AI agent access to streaming data.
How AI-Generated Code is Changing Software Testing
AI coding tools have quickly become part of everyday software development. What started as an experiment is now a normal part of how many teams write, ship, and update code, with tools like GitHub Copilot, Cursor AI code editor, Anthropic’s Claude, and ChatGPT being used across a wide range of workflows. The productivity gains are real. Developers are moving faster, shipping more changes, and spending less time on repetitive work. But as output increases, so does the risk.
Service Accounts and Automation Security with ClearML
This blog covers the topic of Automation Security with ClearML as it relates to enforcing AI infrastructure policies within an organization. It accompanies our Enterprise AI Infrastructure Security YouTube series. Watch the corresponding video below.
Use P4 MCP to ask code review questions | #perforce #codereview #mcp #p4
In this clip from LIMITLESS, our 2026 P4 Product Update, Patrycja (Trish) Tomiak-Gough, Chief Architect at Perforce, demonstrates how P4 MCP connects Claude with Perforce P4 Code Review to find a specific review, ask whether the change addresses a ticket, and a surprise trick question!
Gherkin vs Traditional Testing: Which One Wins with AI?
Gherkin's structured, human-readable format gives it a decisive edge when working with AI-powered testing tools. Start evaluating your test suite structure now, as AI-powered QA is becoming the industry standard, and your test format determines how well these tools can assist you. The debate over Gherkin vs traditional testing has taken an unexpected turn.
Driving Business Value with AI: 4 Data Democratization Plays
AI-powered analytics is everywhere right now. But the payoff? Not so much. Two patterns show up again and again. The first is an “AI everything” backlog that expands faster than teams can deliver. The second is an insights bottleneck that still forces the business to wait in line for basic answers while analysts drown in ad hoc requests.