@mattpocockuk On git, I def check into git. If part of my project likely with its own PRs. One of my experiments is a self building LLM Wiki that’s just a serious of flue agents running as GitHub actions. Haven’t spent a ton of time tweaking it but I may get back to that for a future project.
@mattpocockuk This is mostly controlled by my skills so feel free to check them out would love to get thoughts on how they function. I am adding an agent that only does. Knowledge as well but it mostly just relies on the skills. https://t.co/JowRhrEXdM
@mattpocockuk I use them in a bunch of ways. So many in fact I built skills so I can easily just build the next one. I actually start a new project by initializing knowledge/ and then feed the LLM docs or links that need to be included.
@mattpocockuk Content def grows over time so not only at project launch. Mismatches get cross linked and noted by rule. If the LLM can tell if it is superseded to will add tags to both docs. My skills tell the LLM not to overwrite as many times I want to see the conflicts.
@BratDotAI I think we are still in the super early days for all of these models. Yes they are highly capable today and maybe the intelligence levels improve at a slower rate but I believe they will become much more efficient and faster. Cost and speed will be the bar moving forward.
I had not worked on Antigravity in a while but my wife needed some help summarizing a large number of lies. Long story short we used her Google Account and I may need to add Antigravity back into my workflows it did a great job.
@thdxr I tend to agree but also just because a human won’t interact with my agent doesn’t mean it’s not a better experience for your agent to talk to my agent. Especially if my product has lots of specialized logic.