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Refactor Safely with AI: Using MCP and Traffic Replay to Validate Code Changes

So as software engineers using AI coding assistants, we’re quickly learning of a new anti-pattern: Hallucinated Success. You give your agent (e.g. Claude via terminal or various IDE code assistants) the command “refactor the billing controller.” The agent happily complies, churning out nice clean code. The agent even goes so far as to write a new unit test suite that passes at 100%. You integrate it. Your test suites pass. Your production code breaks. Why?

Secure Fleet Management with MDM: Lockdown Solution for Truck Drivers

Are you struggling with device theft and misuse in your fleet management? Discover how to take control with AirDroid Business! With cutting-edge features like App management, kiosk mode and customized alerts, you can limit access to work-related contents only and quickly respond to unusual device activity Role-based Device Grouping.

Harness AI January 2026 Updates: Human-Aware SRE and Smarter API and Application Security | Harness Blog

Harness AI is starting 2026 by doubling down on what it does best: applying intelligent automation to the hardest “after code” problems, incidents, security, and test setup, with three new AI-powered capabilities. These updates continue the same theme as December: move faster, keep control, and let AI handle more of the tedious, error-prone work in your delivery and security pipelines. ‍

The Hidden Architecture of Autonomy: How Skydio Drones Think, See, and Connect

Summary In today's Coredump Session, François Baldassari and Chris Coleman sit down with Ross Yeager, VP of Device Platform Software at Skydio, to explore how autonomy is reshaping modern robotics and what it takes to build drones that can truly think for themselves. Ross shares his journey from Boosted Boards to Skydio, unpacking how the company pioneered fully autonomous flight, built a vertically integrated manufacturing operation in California, and created a foundation that blends cutting-edge software and hardware.

IT as the Proving Ground for AI: Driving Enterprise Innovation

As per the Enterprise AI Survey conducted by Digitate in collaboration with Sapio Research revealed that IT operations have emerged as the primary proving ground for artificial intelligence in the enterprise. With 78% of organizations already deploying AI in IT, 65% identifying ITOps as the biggest AI beneficiary, and adoption outpacing every other function, IT leads enterprise AI maturity.

Webinar Recap: What It Really Takes To Make AI Profitable

Right now, 48% of organizations say they’re being asked to measure or report on AI-related costs. The problem is that they’re still figuring out how to do it. That was a very telling stat from a recent CloudZero webinar on AI and profitability, and speaks loudly to the reality that many organizations are still struggling to get a grasp on AI spend which our data shows to be rising sharply as a part of total spend in recent months.

How to Choose the Right API Monitoring Tool for Production Environments

APIs are no longer just technical connectors between systems; they are production infrastructure. Customer-facing applications, partner integrations, payment flows, and internal microservices all depend on APIs working correctly, consistently, and at scale. When an API fails, the impact is rarely limited to a single endpoint; it can disrupt user journeys, compromise revenue, and breach service-level agreements (SLAs).