Systems | Development | Analytics | API | Testing

thoughtspot

Agentic Analytics in Finance: Lessons from Navan and EcoLab

Jun 10, 2026 By Mayank Sinha In ThoughtSpot
Finance leaders are operating in one of the most demanding macro environments in recent memory. Interest rates are moving faster than most models anticipated, reshaping the cost of capital almost overnight. Supply chain fragility has also turned working capital management into a moving target, and geopolitical uncertainty is changing how you plan for the future. Yet for many finance functions, the analytics stack hasn't kept pace with that urgency.
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tricentis

Practical applications for NeoLoad MCP: 3 use cases

Jun 10, 2026 By Annie Millerbernd In Tricentis
As AI-aided software development lifecycles pick up speed, performance teams are left with the familiar challenge of too much work, too few specialists, and results that take too long to analyze. Over the past year, Tricentis NeoLoad has shipped capabilities designed to address each of these problems directly. What started with Augmented Analysis accelerating root cause identification grew into a fully connected Model Context Protocol (MCP) architecture.
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smartbear

Building Confidence Across APIs and AI Agents with the Swagger Contract Testing Kiro Power

Jun 10, 2026 By Matt Bonner In SmartBear
There is a specific kind of confidence that comes with deploying software. Not just “the tests passed” confidence, but the kind that comes from knowing the services your application depends on still behave the way you expect them to. Preserving that integrity becomes harder as systems grow, teams move faster, and AI agents become active participants in delivery workflows.
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Why Control Is Your New Competitive Advantage In The Age of AI | Perforce 2026

Jun 10, 2026 By Perforce In Perforce
When AI Starts Shipping Code: Why Control Is Your New Competitive Advantage AI systems are already generating code, creating tests, and orchestrating infrastructure changes across enterprise software delivery. But faster execution without control creates a new kind of risk. In this webinar, Perforce CTO leaders explore why uncontrolled AI execution is emerging as one of the biggest operational risks in modern software delivery — and what leading enterprises are doing about it.
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kong

How We Used Agentic AI to Fix Kong Gateway's Flakiest Tests

Jun 10, 2026 By Datong Sun In Kong
Each change to Kong Gateway's codebase triggers a comprehensive test suite that runs more than 17,000 * 2 = 34,000 test cases among the two primary architectures (x86 and ARM) we support. This process takes about 23.5 hours on a single machine. But we don't wait that long. A large fleet of machines runs the suite in parallel, and we shard the work aggressively so each commit finishes in a fraction of that time. That setup works well, right up until flaky tests get involved.
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bugfender

Best Mobile Crash Reporting Tools in 2026 (Free & Paid)

Jun 10, 2026 By Sachin Siwal In Bugfender
Mobile crash reporting tools don’t just tell us when our app’s broken down. They help us pick up the pieces and build better next time. As such they play a vital role in our quest to deliver excellent user experience, so it’s important we choose the right tool for our team, users and operating systems. In this guide, we’ll compare the best mobile crash reporting tools in 2026, including Android-focused and cross-platform solutions.
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