InfoQ - Large language models

Podcast: Strands Agents with Clare Liguori

Clare Liguori — Mon, 20 Jul 2026 11:00:00 GMT

Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clare shares some lessons learned from building agents at scale, shifting to a model-driven architecture, and what comes next as the LLMs that underpin agents continue to improve.

By Clare Liguori

How Netflix Built GenPage: a Single GenAI Model to Build Personalized Homepages

Sergio De Simone — Sun, 19 Jul 2026 20:00:00 GMT

GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating personalized user homepages. GenPage leverages user history and request context as a prompt to produce the entire page, resulting in improved user engagement and reduced serving latency.

By Sergio De Simone

Pinecone Introduces Nexus Engine for Compiling Business Context into Structured Data for AI Agents

Sergio De Simone — Sat, 18 Jul 2026 14:00:00 GMT

Now generally available, Pinecone Nexus is a "knowledge engine" for AI agents that transforms enterprise data into a structured layer agents can query directly. It enables teams to ingest and curate business context once for all, making it reusable across agents and reducing token costs while improving accuracy.

By Sergio De Simone

Google Cloud Workbench Notebooks Extension Connects VS Code to Google Cloud's Jupyter Notebooks

Sergio De Simone — Tue, 14 Jul 2026 22:00:00 GMT

The Google Cloud Workbench Notebooks extension for VS Code is a new tool that enables developers to connect their local IDE directly to managed Jupyter notebook environments on Google Cloud.

By Sergio De Simone

How DoorDash Built an AI Shopping Assistant That Doesn’t Rely on the LLM Alone

Leela Kumili — Mon, 13 Jul 2026 14:08:00 GMT

DoorDash details the architecture behind Ask DoorDash, its AI-powered conversational shopping assistant, combining LLMs, specialized AI agents, MCP-based tooling, and an intelligence layer with persistent consumer memory and live backend data. Early results show up to 24% higher checkout conversion, 17% larger baskets, and improved intent accuracy using memory-backed sessions.

By Leela Kumili

Podcast: Governance in the Age of AI: a Conversation with Sarah Wells

Sarah Wells — Mon, 13 Jul 2026 11:00:00 GMT

In this podcast, Michael Stiefel spoke to Sarah Wells about the relationship of governance to software architecture. Governance enables teams to work effectively by establishing procedures that minimize system complexity, improve security, and reduce repetitive tasks. Targeted checklists help engineers by reducing the stress over these procedures.

By Sarah Wells

How Datadog Used Claude and Cursor for Test-Driven Production Migration

Sergio De Simone — Fri, 10 Jul 2026 08:00:00 GMT

In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while evolving a critical production system using AI to overcome hard limits in its storage backend and significantly improve performance.

By Sergio De Simone