Three habits that stop a coding agent inventing hooks and tables: an AGENTS.md file it has to keep updated, real documentation and schema files in the context, and a fresh thread when the task changes.
The Plugins Team 2025 retrospective puts submissions at about 330 a week and reviews up 40.6%, with the same size team. Here is what the automated scans catch and how to run the Plugin Check plugin before the reviewers do.
Retrieval-augmented forecasting adds a search step to a time-series model, so it can pull similar windows out of history instead of leaning on frozen training weights. Covers embeddings, FAISS indexing and four ways to fuse retrieval with a forecaster.
An LLM hands you one confident answer and hides the trade-offs. Probabilistic multi-variant reasoning asks it for several options plus the ways each one fails, and leaves the decision with you.
Two years of daily use, boiled down: AI in UX is good at sorting research transcripts, flagging the obvious usability problems and drafting copy from client bullets. The judgment stays with you.
Running NLP locally with Hugging Face Transformers instead of paying per API call: the pipeline API, zero-shot tagging, chunking text past a 512 token limit, and where to host the model.
Reporting plugins bloat the database and still guess at who your best customers are. Here is how I build RFM scores from WooCommerce order data in Pandas, and what the segments are actually good for.
A jewelry retailer’s smart crop kept locking onto diamond reflections, because edge detection flagged every one of them. Harris corner detection found the structural points instead. Here is the R score logic and the OpenCV implementation.
A store selling pet supplies and gaming gear had a search bar that put cat nip next to Logitech mice. Notes on how self-attention and the Query-Key-Value setup finally gave that search enough context to tell an animal from a USB device.
A weather dashboard that tells people what to wear, built on Databricks and GPT-4o-mini instead of a pile of if-statements. Covers the extraction class, the LLM transformation step, and the hourly job that keeps the Delta Table fresh.