Category: AI

I am amazed at the speed of change in the industry.

Having started to use agentic coding on several open source projects I was appalled at the divergence of different names for instruction files.

Just over a week ago, I started to plan a project to try and at least standarise the open source projects, picking ChatGPT / OpenAI Codex AGENTS.md as the best option of a generic name (and avoid creating new standards).

I didn't get to do much until this weekend, and spent the time creating the Agent Rules (https://agent-rules.org/) microsite and raising feature requests with various open source projects.

My approach is fairly light-weight, based on projects like Editor Config, Semantic Versioning, and Conventional Commits).

This drew out a few comments that, following down the rabbit hole, it looks like the approach from Codex has already gained traction (within the last week) and will become the standard.

A lot of the discussion was on X, so I asked Grok to summarise the timeline and at how fast this has moved.

Continue reading AGENTS.md standardisation for agentic coding systems(5 min read)

Augment Code, one of the new AI-powered coding assistants, promises to make software development faster and more intuitive. But does it hold up in real-world scenarios, beyond demo apps and sample code?

Open source software provides a great opportunity to learn these tools with real code, solving real problems. Plus you get to contribute back to the community.

I decided to put Augment Code through its paces by solving a practical improvement I wanted to make to the pysunspec2 project, involving home IoT devices and solar energy controllers.

Continue reading Hands-on with Augment Code(3 min read)