infoq.com / Page 2

In this article, we explore how AI agents are reshaping software development and the impact they have on a developer's workflow. We introduce a practical approach to staying in control while working with these tools by adopting key best practices ...

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Natan Žabkar Nordberg about how effective leadership requires treating people as whole humans, giving trust first, implementing guided autonomy with clear boundaries, and ...

Google has released Gemini CLI, a new open-source AI command-line interface that brings the full capabilities of its Gemini 2.5 Pro model directly into developers' terminals. Designed for flexibility, transparency, and developer-first workflows, ...

At the Databricks Data+AI Summit, held in San Francisco, USA, from June 10 to 12, Databricks announced that it is contributing the technology behind Delta Live Tables (DLT) to the Apache Spark project, where it will be called Spark Declarative ...

Artificial intelligence excels at refining language and processing large text volumes, but lacks human-like contextual reasoning and emotional intelligence, Avraham Poupko said. Many human traits come into play when doing software architecture. As an ...

Dorota Parad shares the BLISS framework (Bulkheads, Levels, Impact, Simplicity, Pit of Success), explaining how we can eliminate productivity sacrifices made in the name of security. She discusses optimizing security practices to reduce friction, ...

Phil Calçado, CEO of Outropy, shared key insights at the InfoQ Dev Summit on scaling generative AI products. He highlighted the need for effective workflows and agents in AI development, advocating for iterative approaches that leverage proven ...

Recently open-sourced by Google, the Agent2Agent protocol is now part of the Linux Foundation, along with its accompanying SDKs and developer tools.

Apple Machine Learning Research published a paper titled "The Illusion of Thinking," which investigates the abilities of Large Reasoning Models (LRMs) on a set of puzzles. As the complexity of the puzzles increases, the researchers found that LRMs .. ...

Denys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a ...