NVIDIA presents a real-world multi-agent architecture for warehouse operations, where specialized agents coordinate planning, perception, optimization, and execution through a shared command layer. The post shows how agent hierarchies, event-driven orchestration, and simulation-backed decision loops enable resilient, scalable supply-chain intelligence.
This walkthrough shows how to use the open‑source SkyPilot framework to run ML training and inference jobs on Lambda Cloud. SkyPilot abstracts GPU provisioning and scheduling: you define resources in a YAML file and SkyPilot launches the job on spot or dedicated GPUs across multiple regions. The post provides example scripts for launching a Hugging Face training run and explains how SkyPilot handles retrying on preemptible instances.
GitHub announces a Copilot SDK that lets developers embed agentic capabilities directly into their applications. The SDK provides a flexible CLI and HTTP API for building domain‑specific agents that can run tasks, query codebases and integrate with third‑party services. Examples include using the CLI to write migration scripts, generating changelogs from commit history and exposing custom commands via gh agent
Google’s Addy Osmani maps two scenarios for developers through 2026. In one, AI coding agents automate most entry‑level work, causing junior hiring to contract; a Harvard study found that when companies adopt generative AI, junior developer employment can drop by ~9‑10%. In the other, AI unlocks demand as every industry embeds software and automation, creating new “AI‑native” entry‑level roles. Osmani urges juniors to become AI‑proficient—using tools like Cursor, Antigravity and Claude Code—while building skills AI can’t replace (communication, problem decomposition, domain knowledge). Senior engineers, meanwhile, must learn to prompt and validate AI output and be ready to mentor, because the best developers will be those who know when AI is wrong
Thomson Reuters shares how it created a platform engineering hub where internal teams build and orchestrate AI agents using Amazon Bedrock AgentCore. The hub provides a catalogue of secure, governed agents that automate tasks like infrastructure provisioning, compliance checks and knowledge base search. By standardising prompts, tool access and observability, the hub accelerates adoption while meeting legal and security requirements.
Voice‑moderation startup Modulate introduces the Ensemble Listening Model (ELM), an AI architecture designed to improve accuracy, transparency and cost for real‑time voice moderation. ELM combines multiple specialized models in an ensemble that can transcribe, classify and detect harms in voice chat with lower latency and configurable safety thresholds. Modulate says ELM reduces false positives while allowing customers to tune models for different contexts.
A comprehensive introduction to prompt engineering covering how to craft effective prompts, use context windows, chain prompts for complex tasks and debug model outputs. Real examples and live demos help students practice constructing prompts that elicit accurate, useful responses.
A curated playlist of lectures on AI fundamentals, including machine‑learning basics, deep learning, deployment and ethical considerations. Ideal for learners seeking a structured introduction to AI in 2026.
An interactive workshop on developing data & AI literacy across organisations. Topics include identifying skill gaps, creating training programmes, selecting the right tools and fostering a culture of responsible AI adoption.
A two‑day conference covering data engineering, analytics and AI. Speakers from global tech firms share case studies on lakehouse architectures, streaming, feature stores and agentic applications. Use code datapill10 for a 10% discount on tickets.