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AI-native software engineering may be closer than developers think

CIO

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. Walsh acknowledges that the current crop of AI coding assistants has gotten mixed reviews so far.

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The Real Reasons for Doing Test-Driven Development ??

Xebia

Why do people apply TDD? Here’s a secret: it’s not for the tests. Learn about the actual goal and values hidden under the surface of Test-Driven Development. What Are the Real Reasons for Doing TDD? Test-Driven Development (TDD) is a controversial topic amongst developers. Feedback on what?

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Binning MapType, Keeping Yield. How Variant Delivered 10x Speed for Semiconductor Test Logs in Databricks

Xebia

“The fine art of data engineering lies in maintaining the balance between data availability and system performance.” A deceptively simple design choice: the MapType column storing test measurements. test_outcome string Result of the test (e.g., Schema Flexibility : Hundreds of dynamic test parameters (e.g.,

Testing 130
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Effective Software Testing – A Developer’s Guide

Henrik Warne

I recently finished Effective Software Testing – A Developer’s Guide by Maurício Aniche , and I really liked it. I have been coding for a long time and I think I have been writing pretty good tests for the features I have implemented. The book apparently grew out of lecture notes from a course on software testing.

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Agentic AI design: An architectural case study

CIO

Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.

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Security is dead: Long live risk management

CIO

Regulators today are no longer satisfied with frameworks, documentation, and audit validation alone; they want tangible evidence, including end-to-end testing, as well as compliance program management that is baked into day-to-day operating processes. 2025 Banking Regulatory Outlook, Deloitte The stakes are clear.

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LLM benchmarking: How to find the right AI model

CIO

These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks. A classic example is BLEU, which measures how closely the word sequences in the generated response match those of the reference text.