Systems | Development | Analytics | API | Testing

Stop Rebuilding Data Models From Scratch: Meet SpotterModel

Jun 16, 2026 By ThoughtSpot In ThoughtSpot
Your data engineering team shouldn't be the bottleneck between a business question and a governed answer. SpotterModel turns a natural language prompt into a deployable data model. This release does the heavy lifting on complex calculations, and lets you roll back to any previous model state, anytime, so a bad change never costs you hours of rebuilding. It maps your relationships, dimensions, and measures instantly, and you stay in control of table selection and the build process the whole way.
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ably

Introducing AI Transport v0.2.0

Jun 16, 2026 By Mike Christensen In Ably
Version v0.2.0 of @ably/ai-transport reorganises the SDK to better support a wide range of interaction patterns. Everything in an AI session – input, output, agent lifecycle, control signals – is captured durably, allowing you to easily build the sophisticated interaction patterns that support modern AI user experiences. When we first built @ably/ai-transport, we modelled an AI conversation the way most people first picture it: as a request and a response.
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zymr

Building a Digital Banking Platform From Scratch: Architecture Decisions That Scale

Jun 16, 2026 By Yogesh Karachiwala In Zymr
Building a digital banking platform from scratch in 2026 is becoming less about launching a banking app and more about designing the right architecture from day one. The industry is moving through a major infrastructure shift. According to McKinsey Financial Services Insights, global fintech revenues crossed nearly 650 billion dollars in 2025, growing at roughly 21 percent year over year.
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bugraptors

Software Testing Strategies for Load Testing Using JMeter

Jun 16, 2026 By Raghav Vashishth In BugRaptors
An unexpected infrastructure collapse under heavy traffic exposes deep defects within production software. For tech CEOs, engineering directors, and quality managers, scaling failures have significant business fallout: unmet SLA agreements, decreased brand authority, and high turnover. The reason for the failure of digital platforms during peak transactions is seldom the absence of raw hardware. Systems fail because the latent architectural problems are not discovered in development.
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appian

Why "Scalable" Architecture Fails Without Stress Testing

Jun 16, 2026 By Anand Sadanandan In Appian
Have you ever launched an enterprise application that sailed through every baseline test, only to falter when confronted with real-world demand? When you’re modernizing critical workflows for a major financial institution, a “good enough” architecture is a ticking time bomb. In high-volume operations, performance failures aren't just minor setbacks—they halt transactions, stall back-office teams, and expose the business to significant operational risk.
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zymr

How to Build a Neobank App: A Step-by-Step Engineering Guide

Jun 16, 2026 By Suhas Phartale In Zymr
Digital banking is entering a different phase in 2026. Growth is no longer driven by mobile apps alone. It is being driven by embedded finance, AI powered personalization, instant payments, and API driven banking ecosystems. According to BCG, traditional banks are steadily losing ground to fintechs and digital first banking platforms as customer expectations continue to shift toward real time and seamless financial experiences. At the same time, the market is getting crowded.
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smartbear

First look: Agents are coming to your favorite SmartBear products

Jun 16, 2026 By Manisha Talwar In SmartBear
AI is accelerating how teams build and ship software, but validating quality is getting harder, not easier. More AI-generated code means more to test, more API drift to catch, and more documentation that falls behind. The work is growing faster than teams can keep up.
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