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.
WordPress 7.0 brings real-time collaboration, and it asks a lot of the database and object cache. The Core team wants host test data by May 4th, so here is what the suite checks and where hosts usually get bitten.
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.
Discover how to enhance your website’s search engine performance using the power of schema markup. This comprehensive guide covers everything from basic microdata to advanced JSON-LD implementations. Learn why search engines love structured data and how you can use it to gain a competitive edge in search results starting right now for your business.
The data science job has moved. Production AI in 2026 is mostly orchestration: async APIs, vector databases and cost per request. Here is what changes when you start working as an AI architect instead.
LLM summarization pipelines invent facts when the schema demands a value the transcript cannot support. A three-stage design, extraction then synthesis then an audit stage that can only weaken claims, and why empty sections are correct.
Why scenario modelling is mostly about calibrated uncertainty rather than clean predictions, using an English local elections case study and a small PHP class for bootstrapping residuals.
A leaner way to build scrollytelling: the scrollsnapchange and scrollsnapchanging events, the CSS and JS behind a Mother’s Day 2026 experiment, and where browser support stands.
A 2021 vector quantization algorithm called EDEN still outperforms its 2026 successor TurboQuant, and the reason comes down to how each one handles the scale parameter S.
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.