Software Engineering Articles

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Sriram Devanathan Sriram Devanathan
Updated on July 14, 2026

How to Prepare Your Tech Stack for Agentic AI

As businesses scramble to unlock the power of agentic AI, the same systems demanding modernization can also streamline it.

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Marliis Schneider Marliis Schneider
Updated on July 09, 2026

Who Are the Biggest Winners of the AI Revolution?

AI can make an engineer faster, but it can make a subject matter expert nearly unstoppable.

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Lauren Hanford Lauren Hanford
Updated on July 01, 2026

96 Percent of Developers Don’t Trust AI-Generated Code. What Now?

As AI tools take over writing code, developers move to more mentally intensive work. That transition requires careful management.

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Brooke Becher Brooke Becher
Updated on June 30, 2026

59 Top Engineering Companies to Know

These companies continue to outperform the competition while facing disruptive tech trends head on.

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Richard Ewing Richard Ewing
Updated on June 24, 2026

How Do You Know When an AI Agent Has Gone Rogue?

AI agent architectures have a serious flaw because they collapse of deterministic boundaries between inference and execution. That makes a breach hard to detect until it’s too late.

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Taylor Rose Taylor Rose
Updated on June 11, 2026

How General Motors Engineers Build Infotainment, EV Energy and Robotics Technologies

Learn how GM’s global teams build scalable infotainment systems, use AI and automation to improve vehicle software, and develop EV technologies that can help power homes during outages.

Credit: GM blog 
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Jeff Rumage Jeff Rumage
Updated on June 11, 2026

AI Is Overloading Developers. Here’s How Teams Can Manage It.

As developers hand more work to AI agents, some are reporting insomnia, cognitive overload and a “mental hangover” researchers now call “AI brain fry.” Here’s what managers can do to address it.

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David Hernandez David Hernandez
Updated on June 04, 2026

What If the Best Software Jobs Aren’t at Software Companies?

Although the market for computer science graduates may be saturated, your skills are urgently necessary in the hardware ecosystem.

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Mike Miller Mike Miller
Updated on June 04, 2026

How Neurosymbolic AI Keeps AI Coding Agents Honest

Neurosymbolic AI pairs large language models with automated reasoning engines to mathematically eliminate ambiguities and contradictions before agents write code. Here’s how it works.

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Eric Ries Eric Ries
Updated on June 02, 2026

AI-Generated Code Is Creating a New Kind of Safety Risk

The danger of AI coding tools isn’t producing bad code. It’s the false confidence they instill.

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