This post walks through how Baz built their Spec Review agent using Amazon Bedrock and Amazon Bedrock AgentCore. We'll cover the architecture decisions, implementation details, and the business outcomes they achieved by leveraging these AWS services to automate their code review process

The integration of artificial intelligence into defense is no longer a future consideration — it is happening now, at an unprecedented pace, across every domain of military operations. From intelligence gathering to autonomous systems on the battlefield, AI is fundamentally changing how armed forces prepare, plan, and fight. Nations are accelerating AI development for military use, creating a global AI race with significant strategic and geopolitical consequences. Responsible AI governance, model validation, and human oversight are essential safeguards as defense organizations deploy autonomous systems and machine learning in combat operations. Integrating AI across defense organizations requires interoperability standards, acquisition reform, and workforce training to translate emerging…

Data governance architecture defines the policies, roles, and technologies for managing data assets. This article covers core principles, stakeholders, frameworks (DAMA-DMBOK, TOGAF, Zachman), governance organization (council, owners, stewards), modern architecture patterns (lakehouse, data mesh, data fabric), and the importance of data catalogs and quality rules.

Nathan Lambert reflects on his time at the Allen Institute for AI (Ai2), where he worked on the Olmo models and led projects like Tülu 3. He emphasizes the importance of open research and shares his journey from a relatively unknown researcher to a prominent voice in AI.

HCompany releases Holo3.1, a major upgrade to its computer use agent model family, enhancing robustness across desktop, mobile, and agent frameworks, and introducing quantized checkpoints for local inference.

This guide covers core data warehouse design principles: aligning with business goals, three-tier architecture, schema selection (star vs. snowflake), ETL/ELT pipelines, data governance, and domain-specific data marts. It is intended for data engineers, architects, and technical leaders planning or modernizing a data warehouse.