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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent. This technology already exists.”

Software 141
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Writing Test Cases for Machine Learning systems

Analytics Vidhya

Introduction Testing forms an integral part of any software development project. Testing helps in ensuring that the final product is by and large, free of defects and it meets the desired requirements. Proper testing in the development phase helps in identifying the critical errors […].

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GitHub Workflows For Test Automation

Analytics Vidhya

ArticleVideo Book “Testing leads to failure and failure leads to better understanding” Introduction: For every project, whether it is software development or data app. The post GitHub Workflows For Test Automation appeared first on Analytics Vidhya.

Testing 306
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Beyond “Prompt and Pray”

O'Reilly on Data

This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software. 90% accuracy for software will often be a deal-breaker, but the promise of agents rests on the ability to chain them together: even five in a row will fail over 40% of the time!

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Contact GAP for a demo today!

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Traditional versus GenAI software: Excitement builds steadilyor crashes after the demo. The way out?

Testing 174
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Anthropic Computer Use: AI Assitant Taking Over Your Computer

Analytics Vidhya

Its in beta testing, but its already shaking up how AI can interact with software. Imagine your AI assistant taking over your mouse and keyboard to navigate a computer just like you wouldclicking, typing, and scrolling, all by “looking” at the screen.

Testing 289
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Discover how the AIMMS IDE allows you to analyze, build, and test a model. See how an end-user runs the new model from their browser device, with no other software needed. Uncover how an interactive web application can be built on top of your model. Don't let uncertainty drive your business.

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Buyer's Guide for Supply Chain Network Design Software

As a result, most organizations struggle to answer network design questions or test hypotheses in weeks, when results are demanded in hours. Checklist items to consider when evaluating and selecting SC Network Design software. You will learn about: Supply chain design maturity benchmarks, provided by peers.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.