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Feature stores and reproducible training pipelines
I’m verifying the current Feast release and APIs, then I’ll deliver the complete Markdown article with a runnable local pipeline and the train/serve skew case study.
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Rule learning: RIPPER, decision lists, and models that output human-readable rules
I’m validating the current package versions and executing the demo end to end so the code and printed rules match the APIs described.
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Topics Everyone Is Talking About No397
Codex Security • New HIV vaccine shows unprecedented success in preclinical study • You Could Have Come Up with Kimi Delta Attention • Replace Your CI With a Merge Queue • The mean means nothing…
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Codex vs Claude Code vs Copilot: How the Agent Harness Became the Product (2025-2026)
In 2025, AI coding tools competed on model choice and basic autonomy. Through 2026 the differences that mattered moved outward into the harness: instruction files, delegation, hooks, approvals, sandboxing, and where the agent actually runs. A dated, sourced comparison of OpenAI Codex, Anthropic Claude Code and GitHub Copilot.
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Topics Everyone Is Talking About No396
Our position on open-weights models • Kimi-K3 Releases on HuggingFace 727 • PGSimCity – How PostgreSQL Works • Blogging Can Just Be Stating The Obvious • Most Googlebots are fake
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DuckDB: an analytics warehouse that fits in your laptop’s pocket
If you’ve ever wanted to analyze gigabytes of data without provisioning a database server or signing up for a cloud data warehouse, DuckDB is worth a serious look.