A practical look at how Karpathy’s LLM Wiki pattern can serve as long term agent memory, turning raw sources, markdown pages, and schema instructions into a living knowledge system for semantic, entity, episodic, summary, and procedural memory.
About 95% of our engineers are regularly using AI to assist with their development efforts. They are mostly working outside of the IDE, with many running 3-5 agent instances in parallel. Then there's a small population that is actively building our internal agent orchestrator in preparation for the inevitable.
What if I told you that you could build a [...]
An overview of Agent Skills vs MCP
Lately, I've seen more developers online starting to side eye [...]
Open source maintainers are getting more contributions than ever, thanks to AI-assisted coding. That's great for community growth but it also means a flood of PRs to review. Here's how I taught GitHub Copilot Code Review to think like a maintainer.
As AI reshapes how we develop software, DevRel professionals find themselves not just promoting tools, but helping entire communities navigate uncharted territory.
A group of MCP developers shaping the future of how [...]
David Fowler recently asked an excellent question that’s been on [...]
For many, Machine Learning and AI are nothing more than buzz words. However, machine learning is a realized form of AI that is currently being utilized by top tech companies in products that we use every day. For this reason, it’s important that we understand how this works and what vulnerabilities we should we aware of as testers. In this session, we’ll stay away from all the fancy jargon, and instead look at a demonstration of machine learning in action.
There's a lot of talk nowadays about the impact that [...]
Once upon a time I needed to automate tests for machine learning...here's what I learned about testing, automation, and the future of both.
