Research

Findings [1] 2026-09-24 commit-rewriter 0.2 Release: commit-rewriter 0.2 Support for branches other than the default branch. Use uvx commit-rewriter --branch other to run against another branch. #3 Tags: git [2] 2026-09-24 datasette 1.0a41 Release: datasette 1.0a41 Alec Garcia added support for OpenTelemetry to Datasette in this release. I've also refactored all of…

Findings [1] 2026-09-24 How growing Latin American midsize businesses are building in the AI era Latin America’s small and medium-sized businesses are the heartbeat of the region's economy — accounting for more than 60% of total employment in the region, according to United Nations estimates. And just like their enterprise peers, everywhere you look,…

Findings [1] 2026-09-23 How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows [2] 2026-09-23 From portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock This post is co-written with Mauro Rallo and Patrick van der Plas from HEMA. When engineers at HEMA needed an answer,…

Findings [1] 2026-09-23 **Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization** Where Kimbodo Comes In Kimbodo builds and operates this in production for businesses — see our AI Infrastructure & MLOps practice, or Estimate My Infrastructure. Sources [1] **Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA…

Findings [1] 2026-09-23 SF October 14th: A Birds of a Feather Session on Agentic Engineering SF October 14th: A Birds of a Feather Session on Agentic Engineering I'm hosting an evening event with Jesse Vincent in San Francisco on Wednesday 14th October for people who are building weird and interesting things with and on…

What Happened A new plugin, llm-keys-ui 0.1, provides a local web interface for storing additional LLM API keys so developers do not need to paste secrets directly into ChatGPT, Codex, or other agent sessions [1]. It can be started with a command such as uvx --with llm-keys-ui llm keys-ui --all, then accessed through a local…

What Happened Google described an AI-native approach to infrastructure security: agentic pre-submit scanning embedded directly into the software delivery lifecycle. The system scans every code change across very large repositories before production, using a multi-agent harness called Mantis to identify security issues early and reduce the number of vulnerabilities that reach deployed systems [1]. The…

What Happened Amazon introduced SageMaker HyperPod Inference Gateway, a Kubernetes-native EKS add-on for routing LLM inference traffic using real-time GPU and model-server signals rather than generic load-balancing rules such as round-robin or least connections [1]. The core problem is that standard HTTP load balancers do not understand GPU state. A request can be sent to…

What Happened Recent enterprise AI infrastructure activity points to a clear pattern: teams are moving from isolated LLM experiments toward shared platforms for agents, retrieval, evaluation, governance and cost control. On AWS, multiple reference architectures show this shift. Wood Mackenzie described APEX, a shared agentic platform built on Amazon Bedrock AgentCore to standardize runtime, identity,…

What Happened Recent enterprise AI infrastructure work points to a common shift: teams are moving from isolated model demos to governed, observable, fault-tolerant AI platforms. The important changes are not just better models; they are better operating patterns around agents, training, cost accountability, document automation and production feedback loops. Domain-specific agent skills are…

What Happened Google released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, two speech-to-speech models positioned for low-latency, interactive voice conversations similar in shape to OpenAI’s GPT-Live model family [1]. The implementation described in the research demonstrates a browser-based test UI that lets a user select the model and voice preset, add an optional…

What Happened Recent enterprise AI platform patterns show a clear shift: production teams are moving beyond standalone chatbots toward orchestrated agent systems with managed runtime isolation, governed identity, task-specific models, deterministic business rules, and cloud-native observability. Amazon Bedrock AgentCore is being used as managed infrastructure for agent execution, including serverless code-interpreter sandboxes that run in…