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ramoz
searching PlanetScale…
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11 ms
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241.
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by
ramoz
8mo ago
The author seems to think theyve invented a special workflow... We all tend to regress to average (same thoughts/workflows)... Have had many users already doing the exact same workflow with: https://github.com/backnotpr
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by
ramoz
8mo ago
semantic plan name is important
243.
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by
ramoz
8mo ago
is your skill open source
244.
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by
ramoz
8mo ago
If you’ve ever desired the ability for annotating the plan more visually, try fitting Plannotator in this workflow. There is a slash command for use when you use custom workflows outside of normal plan mode. https://github.com&#x
245.
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by
ramoz
8mo ago
One thing for me has been the ability to iterate over plans - with a better visual of them as well as ability to annotate feedback about the plan. https://github.com/backnotprop/plannotator Plannotator does this really
246.
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by
ramoz
8mo ago
People are not understanding that “claw” derives from the original spin on “Claude” when the original tool was called “clawdbot”
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by
ramoz
8mo ago
People are not understanding that “claw” derives from the original spin on “Claude” when the original tool was called “clawdbot”
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by
ramoz
8mo ago
Information Flow Control is highly idealistic unless there are global protocol changes across any sort of integration channel to deem trusted vs untrusted.
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by
ramoz
8mo ago
AI is set to do that on its own given containment + alignment problems.
250.
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Show HN: Visual Plan Mode for Pi Coding Agent
(youtube.com)
2 points
by
ramoz
8mo ago
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0 comments
251.
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Share Claude Code plans with your teammates
(plannotator.ai)
2 points
by
ramoz
8mo ago
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0 comments
252.
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by
ramoz
8mo ago
Something like this is how memory systems (context window hacks) should be evaluated. Eg choose a format like standard that continuously evolves with various meta - presumably the best harness would be good at recognizing patterns and retri
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Show HN: Skill to annotate any Markdown file for AI feedback
(plannotator.ai)
1 points
by
ramoz
8mo ago
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0 comments
254.
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by
ramoz
8mo ago
Can you link to the verifiable inference method?
255.
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by
ramoz
8mo ago
fair enough
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by
ramoz
8mo ago
I think generally correct to say "hey we need stronger models" but rather ambitious to think we really solve alignment with current attention-based models and RL side-effects. Guard model gives an additional layer of protection an
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by
ramoz
8mo ago
You're extending the definition of a sandbox
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by
ramoz
8mo ago
if you extend the definition of sandbox, then yea. Solutions no, for now continued cat/mouse with things like "good agents" in the mix (i.e. ai as a judge - of course just as exploitable through prompt injection), and determi
259.
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by
ramoz
8mo ago
same! sharing this link for my own philosphy around it, ignore the tool. https://cupcake.eqtylab.io/security-disclaimer/
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by
ramoz
8mo ago
Sandboxes will be left in 2026. We don't need to reinvent isolated environments; not even the main issue with OpenClaw - literally go deploy it in a VM on any cloud and you've achieved all same benefits. We need to know if the ema
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by
ramoz
8mo ago
worth mentioning an additional credential/or-not, the creator of "the platform powering the agentic future" (blockchain) https://www.near.org/
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by
ramoz
8mo ago
Built similar focused specifically on planning annotations. https://github.com/backnotprop/plannotator It integrates with the CLI through hooks. completely local.
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by
ramoz
8mo ago
yea i mean i basically have claude code do everything with aws cli.
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by
ramoz
8mo ago
thanks for the correction
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by
ramoz
8mo ago
Every single mentioned service is either an AWS or GCP abstraction.
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by
ramoz
8mo ago
I do. Every day, for at least 5 services.
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by
ramoz
8mo ago
Why not bare-cloud? Esp with AI... in 10min or less an agent can deploy almost any stack to an optimal AWS setup for a fraction of the cost of any platform.
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by
ramoz
8mo ago
Ah you were 7mo ahead of me doing the same and also coming to a similar conclusion. The idea holds value but in practice it isnt felt. https://github.com/eqtylab/y
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by
ramoz
8mo ago
Or git notes. Commit hook > Background agent summarizes (in a data structure) the work that went into the commit > saves to a note Built similar (with a better name) a week ago at a hackathon: https://github.com/eqtyla
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by
ramoz
8mo ago
Uses AI to summarize coding sessions tied to commits. Commit hook > Background agent summarizes (in a data structure) the work that went into the commit. Built similar (with a better name) a week ago at a hackathon: https://gi
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