9 posts tagged 'ai'

Prompt instructions alone are not enough to constrain AI agents. Using hard boundaries like OAuth scopes and CI pipelines ensures agents stay within limits even when they ignore instructions.

Effective context management is crucial in agentic coding to avoid confusing the agent and driving up token costs.

A large part of human memory is learning to forget. If our brain remembered everything perfectly, it would get stuffed with irrelevant facts, making it harder to retrieve relevant information. This is what makes implementing memory for AI agents so hard - the ability to differentiate what is truly relevant is absolutely needed or else the memory just fills up with junk.

We are already there. I was listening to a talk yesterday and the first question was "how long before we are allowed to install and run local coding models?"

The $200/month pricing for Claude Code may seem expensive, but it's actually heavily subsidized compared to the true cost of running AI models.

Claude Code may end up becoming the personal agentic framework that I've been looking for.

In the past when I needed some agentic behaviour (example: answer questions based on some documents), I used to look at hand rolling a solution. It's time consuming and not particularly easy to build and …

MCP or CLI? There was a huge amount of hype over MCP around a year ago, but today it seems like the command line interface has quietly won the game.

That's right, it you want your agent to interact with an external system, building a CLI interface seems the way …

We have been talking the last few days about ChatGPT. One of the interesting things about a deep learning AI system is how it 'stores' knowledge.

In traditional computing systems, we can point to part on the storage device and say "these bytes are stored here" and "these other bytes …