Systems | Development | Analytics | API | Testing

MCP vs REST APIs for Data Integration: When to Use Each

Your data integration team just asked: "Should we use MCP or REST APIs?" The answer is yes to both. With the ETL market reaching $10.24 billion in 2026 and projected to grow to $21.25 billion by 2031, understanding when to leverage each technology determines whether your AI agents can autonomously adapt to changing data needs or require manual code updates for every new integration.

Turn cURL, HAR, Postman or OpenAPI into a k6 or JMeter Load Test

Writing a load test script from scratch is the boring part. You already have the request you want to hammer: it is sitting in your browser’s network tab, in a Postman collection, or described in an OpenAPI spec. So why retype it as a k6 script or build a JMeter test plan by hand? Now you do not have to. LoadFocus converts a cURL command, a HAR file, a Postman collection or an OpenAPI spec into a runnable k6 script or JMeter.jmx test plan.

Smoke Testing vs Sanity Testing: What's the Difference?

Smoke testing checks whether a new build is stable enough to test. Sanity testing checks whether a specific fix or change works as expected. Both are quick validation techniques, but they happen at different stages for different reasons. The easiest way to tell them apart: if you just deployed a new build and want to know if core features are still standing, that’s a smoke test.

The 7 Best Multi-Agent Software Development Tools in 2026

Artificial intelligence has become a standard part of software development. Most engineering teams now use AI to generate code, explain unfamiliar functions, write tests, or accelerate documentation. These capabilities have become widely available, and the underlying language models continue to improve at an impressive pace. But as organizations move beyond experimentation, many are discovering that code generation alone does not solve their biggest engineering bottlenecks.

How to Become an AI-Native Team

A year ago we announced that Databox is becoming an AI-first company. At the time, that mostly meant what it meant for many companies in 2025: AI becoming a strategic priority. Teams were encouraged to experiment and adopt new tools, as it was clear that AI wasn’t a trend we could ignore. That was the easy part. What’s become clear over the last year is that there’s a significant difference between being AI-first and being AI-native.

Appian Q2 Product Highlights: Helping You Move from Standalone AI Tools to Orchestrated AI Workflows

Organizations have rapidly adopted artificial intelligence, but a stark divide is emerging: those who are embedding AI into the core of their operations, and those who are treating it as a standalone tool. According to a recent Harvard Business Review Analytic Services survey, only a small share of resondents say their organization has largely integrated AI into workflows.

Welcome to the Era of Action: A Message from Ketan Karkhanis

ThoughtSpot has been named a Leader in the 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. We’re celebrating this milestone while building for tomorrow, as we shift from the Era of Reporting into the Era of Action. Hear a message from our CEO Ketan Karkhanis on what this shift means for our customers and partners, and how companies can win in this next era of AI BI.

AI Agents Write Broken Code 49% of the Time #speedscale #AI #Coding #Tech #DevOps

AI agents write broken code nearly 50% of the time. By adding a traffic-based deterministic evaluation, Speedscale boosted unsupervised bug-fixing quality from 51% to 77% in just 5 minutes. This helped slash token costs and eliminate rework without human intervention. Learn more: speedscale.com.