I have a similar setup at home, I’m sure you heard this before but I must +1 the Infuse app on Apple devices. It’s a much better client than Jellyfin’s but can connect to Jellyfin server no problem. No plex needed.
Yes! Where it gets really interesting is the scenario in which every developer has their own unique review skill/workflow, so the reviews end up being different than you running it yourself, but nobody is reading them…
Thank you!
This is awesome! I hope they can restore the cartoon cartoon summer resort games.
Has 5.1 reliability improved? I would love to use it again. The inference was just too unreliable when it was first released.
Yes this is the path I’m taking. Experiment, build your own toolbox whether it’s hand rolled skills or particular skills you pull out from other public repos. Then maintain your own set. You do not want to log in one…
Looks like the repo is very young. First thing to do is try it out in a hobby project see how it works out!
I find it useful to make Claude track the debugging session with a markdown file. It’s like a persistent memory for a long session over many context windows. Or make a subagent do the debugging and let the main agent…
I was doing the same, but recently I noticed that Claude now writes its plans to a markdown file somewhere nested in the ~/.claude/plans directory. It will carry a reference to it through compaction. Basically mimicking…
Why not? If one of your goals is to try to relax and/or meditate more, then I feel it’s a valid list entry. It’s all a matter of perspective and personal goals, no?
I personally replaced my playwright mcp with this. Seems to use less context and generally more reliable.
This is a task I think is suited for a sub agent that is small in size. It can can take the context beating to query for relevant tools and return only what is necessary to the main agent thread.
When I have a bug I’m iterating on it’s much easier and faster to have it write out the playwright script. That way it does not have to waste time or tokens performing the same actions over and over again. Think of it…
Download the godot docs and tell the skill to use them. It won’t be able to fit the entire docs in the context but that’s not the point. Depending on the task it will search for what it needs
I personally do not do any writes in parallel but parallel works great for read operations like investigating multiple failing tests.
Claude can then proceed to fix the issues for you
You can use the built in task agent. When you have a plan and ready for Claude to implement, just say something along the line of “begin implementation, split each step into their own subagent, run them sequentially”
https://apps.apple.com/us/app/wipr-2/id1662217862 Wipr 2 It’s a one time paid app that works for both Mac and iOS
Ahh thanks for the clarification, I misunderstood!
It’s a feature of Kagi. Putting the question mark does invoke AI summaries. https://help.kagi.com/kagi/ai/quick-answer.html
I personally love LLMs and use them daily for a variety of tasks. I really do not know how to “fix” the terminology. I agree with you that they are not thinking in the abstract like humans. I also do not know what else…
I use Claude code daily at work, it writes all my PRs. It uses the GitHub cli to manage them. Since all agents are able to use the terminal I suggest looking up the Gitlab CLI and have it use that. Should work locally…
I’m not who you replied to but I keep functions small and testable paired with unit tests with a healthy mix of happy/sad path. Afterwards I make sure the LLM passes all the tests before I spend my time to review the…
Perplexity basically has this right? They let you buy things with a button in the chat itself!
You can, most MCP servers are just wrappers around existing SDKs or even rest endpoints. I think it all comes down to discovery. MCP has a lot of natural language written in each of its “calls” allowing the LLM to…
I have a similar setup at home, I’m sure you heard this before but I must +1 the Infuse app on Apple devices. It’s a much better client than Jellyfin’s but can connect to Jellyfin server no problem. No plex needed.
Yes! Where it gets really interesting is the scenario in which every developer has their own unique review skill/workflow, so the reviews end up being different than you running it yourself, but nobody is reading them…
Thank you!
This is awesome! I hope they can restore the cartoon cartoon summer resort games.
Has 5.1 reliability improved? I would love to use it again. The inference was just too unreliable when it was first released.
Yes this is the path I’m taking. Experiment, build your own toolbox whether it’s hand rolled skills or particular skills you pull out from other public repos. Then maintain your own set. You do not want to log in one…
Looks like the repo is very young. First thing to do is try it out in a hobby project see how it works out!
I find it useful to make Claude track the debugging session with a markdown file. It’s like a persistent memory for a long session over many context windows. Or make a subagent do the debugging and let the main agent…
I was doing the same, but recently I noticed that Claude now writes its plans to a markdown file somewhere nested in the ~/.claude/plans directory. It will carry a reference to it through compaction. Basically mimicking…
Why not? If one of your goals is to try to relax and/or meditate more, then I feel it’s a valid list entry. It’s all a matter of perspective and personal goals, no?
I personally replaced my playwright mcp with this. Seems to use less context and generally more reliable.
This is a task I think is suited for a sub agent that is small in size. It can can take the context beating to query for relevant tools and return only what is necessary to the main agent thread.
When I have a bug I’m iterating on it’s much easier and faster to have it write out the playwright script. That way it does not have to waste time or tokens performing the same actions over and over again. Think of it…
Download the godot docs and tell the skill to use them. It won’t be able to fit the entire docs in the context but that’s not the point. Depending on the task it will search for what it needs
I personally do not do any writes in parallel but parallel works great for read operations like investigating multiple failing tests.
Claude can then proceed to fix the issues for you
You can use the built in task agent. When you have a plan and ready for Claude to implement, just say something along the line of “begin implementation, split each step into their own subagent, run them sequentially”
https://apps.apple.com/us/app/wipr-2/id1662217862 Wipr 2 It’s a one time paid app that works for both Mac and iOS
Ahh thanks for the clarification, I misunderstood!
It’s a feature of Kagi. Putting the question mark does invoke AI summaries. https://help.kagi.com/kagi/ai/quick-answer.html
I personally love LLMs and use them daily for a variety of tasks. I really do not know how to “fix” the terminology. I agree with you that they are not thinking in the abstract like humans. I also do not know what else…
I use Claude code daily at work, it writes all my PRs. It uses the GitHub cli to manage them. Since all agents are able to use the terminal I suggest looking up the Gitlab CLI and have it use that. Should work locally…
I’m not who you replied to but I keep functions small and testable paired with unit tests with a healthy mix of happy/sad path. Afterwards I make sure the LLM passes all the tests before I spend my time to review the…
Perplexity basically has this right? They let you buy things with a button in the chat itself!
You can, most MCP servers are just wrappers around existing SDKs or even rest endpoints. I think it all comes down to discovery. MCP has a lot of natural language written in each of its “calls” allowing the LLM to…