Explores concurrency and isolation challenges when multiple AI agents query a lakehouse, using Iceberg's optimistic concurrency control and access policies.
Explains the 2026 unified data architecture for multi-cloud data lakehouses using open standards like Apache Iceberg.
Explains mathematically why traditional lakehouses fail AI agents and introduces the agentic lakehouse concept.
Explores zero-ETL federation as a real-time data access method for AI agents, replacing batch ETL to enable live cross-enterprise analytics.
Fleet is a terminal dashboard for managing multiple Claude Code sessions in tmux, prioritizing agents that need human attention.
Using Just as a command runner and documentation tool for bootstrapping a Kubernetes homelab.
SQLite adds AGENTS.md file clarifying no acceptance of AI-generated code, while splitting AI bug reports into a separate forum.
SQLite adds AGENTS.md file clarifying no acceptance of AI-generated code, while splitting AI bug reports into a new forum.
Analysis arguing websites won't die despite AI search changes, emphasizing the enduring value of human-created web content.
Talk at PyCon Italia 2026 on Django's GeneratedField, covering practical examples, trade-offs, and evolution from Django 5.0 to 6.0.
Technical guide on fixing TStringGrid owner drawing offsets in Delphi VCL across IDE versions.
Detailed analysis of how Delphi stores desktop settings using normalized percentages relative to the primary monitor's work area, with code examples.
Martin Fowler discusses LLM-augmented programming, codebase restructuring with AI, and NHS closing open source repos.
Solutions to SQLAlchemy 2 exercises covering database queries, relationships, and async features.
A programmer automates Webex to start only on weekdays, skipping weekends and public holidays using a PowerShell script.
A plea for personal sites to add RSS feeds, with a Django tutorial and reasons why RSS matters for content discovery in 2026.
Analysis of Anthropic and OpenAI achieving product-market fit through enterprise API pricing and rising AI usage costs.
Analysis of Anthropic and OpenAI achieving product-market fit with rising enterprise API costs and profitable quarters.
Analysis of fitting the Meta logo to a Besace curve using parametric equations and parameter estimation.
Explores using test suites as regression sensors to maintain codebase quality when working with AI coding agents.
