A friend and I realized we've both been following a similar process since LLMs got good at writing code, without intentionally coordinating. We use agents to explore idea space and write software at the same time. Often this starts as a (sometimes) ambitious project the agent can't fully complete...
The dynamics at organizations that build their own software are changing. As someone coaching traditionally non-technical professionals to get more value out of AI in their work, I have a front-row seat.
As companies scramble to become "AI-first" and satisfy demands from investors and their boards to ship products that are AI rather than solve customer problems, a rift has emerged between legacy companies and companies that will emerge with different shapes and structures than those of the last few...
For some reason I believed Claude Code at least supported the AGENTS.md convention. It seems it neither supports that, nor the .agents folder convention.
My goal is to explain one specific thing about features that look like chatbots: chatbots-as-UX are not universally better than "regular" UX just because they use fancy LLMs. The example here is clearly on the nose, but also not all that far off from things I have been asked to implement in or as a...
I use direnv to overlay folder specific configurations in projects when I cd into them.
I have a dedicated machine running an agent with its own GitHub account, its own Cloudflare account, and persistent memory. It pushes code, deploys services, writes to databases, and lots more. I interact with it though Slack.
We're at least a solid year (more for some of us) into building software with LLM agents and as an industry, there is limited coherence of what it looks like to effectively build software with agents, or even learn how to do this well. There are tons of great resources, but it's close to a...
Since agents became good enough to write low-stakes software without you needing to validate the code they write yourself, I've been experimenting with several different ways to build tools for myself on demand. If I'm working on a PC, the overhead required to scaffold a CLI, webapp, or even native...
One of the most limiting factors of LLM agents is they have limited cross-session memory. When working on software projects, this limitation isn't much of an issue because the agent can search the project and read files to understand the current state and what it needs to do to make the changes...