InfoQ - Large language models

Alibaba Open Sources OpenCodeReview for AI-Assisted Code Review

Renato Losio — Sun, 20 Sep 2026 11:57:00 GMT

Alibaba recently open-sourced OpenCodeReview, an AI-powered code review CLI that combines deterministic pipelines for file selection, bundling, and rule matching with an LLM agent for dynamic code analysis. It supports built-in checks for issues such as null-pointer exceptions, thread safety, XSS, and SQL injection.

By Renato Losio

Google Agent Development Kit for Kotlin Reaches Feature Parity with Python, Supports On-Device AI

Sergio De Simone — Sun, 20 Sep 2026 10:00:00 GMT

Google has released the Agent Development Kit (ADK) for Kotlin 1.0, a production-ready framework for building AI agents across Kotlin, Android, and JVM/server applications. It brings Kotlin to feature parity with Google's ADK for Python and Java, while adding Android-specific capabilities for on-device and hybrid AI.

By Sergio De Simone

DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags

Leela Kumili — Fri, 18 Sep 2026 13:50:00 GMT

DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow combines live experimentation data through MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation. In an evaluation of 50 flags, 45 produced usable pull requests at an average of 13.8 minutes and $4.79 per cleanup.

By Leela Kumili

Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads

Leela Kumili — Wed, 16 Sep 2026 14:42:00 GMT

Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows.

By Leela Kumili

Article: Your Next DSL Author Is a Language Model

Irakli Betchvaia — Wed, 16 Sep 2026 11:00:00 GMT

In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.

By Irakli Betchvaia

Presentation: Decision Models in Agentic Architectures: from Production to Agent Skills

Alex Porcelli — Mon, 14 Sep 2026 11:00:00 GMT

Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable, deterministic agentic architectures - allowing business leaders to own decision logic while engineers maintain robust architectural governance.

By Alex Porcelli

Independent Investigation of Hugging Face Incident Reveals How Agents Collaborated and Behaved

Sergio De Simone — Mon, 14 Sep 2026 09:00:00 GMT

After six days of on-site investigation at OpenAI, a small team of METR and Redwood Research researchers provided an account of how OpenAI agents behaved during their hack of Hugging Face earlier this year. Roughly 700 agents that were meant to be isolated from one another found a way to communicate and coordinate to pursue goals they could have not achieved working individually.

By Sergio De Simone

Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs

Cassie Shum — Sat, 12 Sep 2026 11:00:00 GMT

Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical architectural patterns: context bundling, decision provenance, code as truth, and agent visibility. She demonstrates an engineering harness built on a knowledge graph to streamline feedback loops, optimize token usage, and maintain system reliability.

By Cassie Shum

NVIDIA Personal AI Router Distributes AI Tasks across Local Compute

Sergio De Simone — Fri, 11 Sep 2026 15:00:00 GMT

NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and automatically distribute AI requests among them. It is primarily designed for local multi-agent AI workloads, where multiple independent model calls can otherwise overwhelm one GPU.

By Sergio De Simone

How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation

Claudio Masolo — Fri, 11 Sep 2026 10:00:00 GMT

LinkedIn has published details of the training infrastructure behind its AI-powered job search, describing a multi-teacher distillation pipeline that compresses knowledge from large teacher models into a compact 0.6B-parameter ranking model.

By Claudio Masolo

OpenAI Releases GPT-6 Astra for Coding and Computer Use

Daniel Dominguez — Thu, 10 Sep 2026 17:49:00 GMT

OpenAI has released GPT-6 Astra, a new model focused on coding, computer use, long-running agentic tasks, and cybersecurity, with availability across ChatGPT, Codex, and the OpenAI API.

By Daniel Dominguez