{"id":5735,"date":"2025-12-16T21:55:20","date_gmt":"2025-12-16T21:55:20","guid":{"rendered":"https:\/\/dalelane.co.uk\/blog\/?p=5735"},"modified":"2026-03-14T21:19:31","modified_gmt":"2026-03-14T21:19:31","slug":"2025-in-writing-wordpress","status":"publish","type":"post","link":"https:\/\/dalelane.co.uk\/blog\/?p=5735","title":{"rendered":"2025 in writing (WordPress)"},"content":{"rendered":"

Looking back over what I’ve put on dalelane.co.uk<\/a> this year… I wrote twenty-six posts.<\/p>\n

Not as many as I’d hoped… I want to try and write a little more in 2026.<\/p>\n

Machine Learning for Kids<\/h3>\n

Four were about Machine Learning for Kids<\/a>:<\/p>\n

\n
Exploring Language Models in Scratch with Machine Learning for Kids <\/a> <\/div>\n
Introducing LLM benchmarks using Scratch <\/a> <\/div>\n
Introducing Generative AI into Code Clubs <\/a> <\/div>\n
\u201cShoebox\u201d: an artificial intelligence history project <\/a> <\/div>\n<\/div>\n

Kafka<\/h3>\n

Seventeen posts were about Kafka, Flink, or something else event-driven:<\/p>\n

\n
Visualising Apache Kafka events in Grafana <\/a> <\/div>\n
Using MirrorMaker 2 for simple stream processing <\/a> <\/div>\n
Using time series models with IBM Event Automation <\/a> <\/div>\n
Using annotations to store info about Kafka topics in Strimzi <\/a> <\/div>\n
Understanding event processing behaviour with OpenTelemetry <\/a> <\/div>\n
What are we missing in AsyncAPI? <\/a> <\/div>\n
Turning noise into actionable alerts using Flink <\/a> <\/div>\n
How to use kafka-console-consumer.sh to view the contents of Apache Avro-encoded events <\/a> <\/div>\n
Running OpenMessaging benchmarks on your Kafka cluster <\/a> <\/div>\n
Event-driven sessions at IBM TechXchange 2025 <\/a> <\/div>\n
From Event Streams to Smart Streams : Powering AI \/ ML with your Kafka topics <\/a> <\/div>\n
Using AI to augment event stream processing <\/a> <\/div>\n
Triggering agentic AI from event streams <\/a> <\/div>\n
Using event streams to provide real-time context for agentic AI <\/a> <\/div>\n
Using streams of events to train machine learning models <\/a> <\/div>\n
AI patterns in event driven architectures <\/a> <\/div>\n
Flink SQL aggregate functions <\/a> <\/div>\n<\/div>\n

Personal<\/h3>\n

And I wrote five other posts to share other projects and random ideas.<\/p>\n

\n
npx dalelane <\/a> <\/div>\n
Maverick Dark Castle <\/a> <\/div>\n
A break in Devon <\/a> <\/div>\n
Fun things to do with Strava <\/a> <\/div>\n
A mid-year (non-work) checkpoint <\/a> <\/div>\n<\/div>\n

Statistics<\/h3>\n

As this is the year of vibe coding, I asked Claude to create visualisations<\/a> for some of the data from my WordPress database.<\/p>\n

It generated dalelane.github.io\/wordpress-year-in-review<\/a><\/strong><\/p>\n

Other than a couple of tweaks to index.html, I’ve uploaded this as-is – in the spirit of vibe coding I didn’t even read the JS and CSS that was generated. I’ve not done this before… it’s a weird feeling!<\/p>\n