Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

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As much as half of all the code produced at Alphabet, the parent company of Google, is being generated by artificial intelligence (AI) coding agents. The use of AI to drive operational efficiency and ...

Caleb John (left), an investor with Pioneer Square Labs, and Lucas Dickey, a longtime entrepreneur, helped host the Claude Code Meetup in Seattle on Thursday. (GeekWire Photos / Taylor Soper) Claude ...

The entire ECC team splits from the nonprofit organization Bootstrap. ECC accuses Bootstrap board of actions misaligned with Zcash’s original mission. Despite turmoil, the Zcash protocol remains ...

Bootstrap says U.S. nonprofit legal and fiduciary obligations—not mission disputes—drove the split The divide within the Zcash ecosystem increased this week as the nonprofit organization that manages ...

We’re in the middle of one of the most transformative periods in automotive history. No, it’s not the shift to electrification, though that’s certainly causing no shortage of consternation. It’s the ...

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

In the technology field, what seems niche today often becomes tomorrow’s industry standard—and that’s definitely true of software development. From test-driven design and AI-powered code reviews to ...

The automotive industry is undergoing a profound transformation. Vehicles are no longer just mechanical machines, they are becoming sophisticated, software-defined platforms packed with electronics ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.