Apache Flink architecture for real-time WordPress data
How Apache Flink treats batch as a special case of streaming, and how to wire a WooCommerce store into a Flink pipeline for real-time recommendations instead of nightly cron jobs.
How Apache Flink treats batch as a special case of streaming, and how to wire a WooCommerce store into a Flink pipeline for real-time recommendations instead of nightly cron jobs.
Why I went local-first after an app died on hotel Wi-Fi: keep data on the device with SQLite in the browser, sync in the background, and resolve conflicts without overwriting what users typed.
The four places an autonomous agent gets attacked (prompt, tools, memory, and the planning loop) and how to lock down a WordPress and PHP backend with least privilege, schema validation, and reasoning logs.
A fashion retailer updated a forecast on a Tuesday and the supply team saw it eleven days later, after the factory lead time had expired. Here is where that delay comes from and what integrated business planning changes about it.
Plugging in the OpenAI API is not engineering. Notes on what actually matters when you build LLM features on WordPress: token costs, attention limits, RAG over fine-tuning, and keeping a 30-second API call from taking down PHP-FPM.
Beau Lebens talked about agentic commerce at Stripe Sessions, where AI agents do the shopping. My take on the hard parts: live inventory data, checkout security for bots, and what MCP and the Abilities API actually change.
The CSPNet architecture splits feature maps so a lighter CNN does not cost you accuracy. What it fixes in DenseNet, how the two paths work, and the PyTorch code for the bottleneck block.
Where the WordPress Core AI work stands before 7.0: the MCP adapter moving to a standalone plugin, the connector approval experiment, and a release plan that puts polish ahead of new features.
The WooCommerce REST API documentation left its 4.2MB single-page site for per-endpoint files on developer.woocommerce.com. What that changes for coding assistants, raw markdown fetches, and doc updates that ship inside the PR.
Dynamic typing is fine in a notebook and expensive in a long-running pipeline. Notes on using type annotations, TypedDict, Literal and union types so a bad value fails at check time instead of four hours into a run.