Michael Ramos

1.5K posts

Michael Ramos

Michael Ramos

@backnotprop

Cofounder, AI @EQTYLab / prev dc - complex systems / veteran / For fun: @plannotator

CA Katılım Mart 2024
509 Takip Edilen1.4K Takipçiler
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Michael Ramos
Michael Ramos@backnotprop·
Anthropic code review this, clanker review that ... why don't you shut up and review+annotate your own code.... (yes im a loser who still manually reviews code) Originally inspired by a bunch of feature requests and then seeing @dillon_mulroy tweet a similar cool ux. @plannotator for reviewing plans (primary focus) and code, fully oss. OpenCode, @badlogicgames 's pi.dev, and Claude Code and other clankers
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Michael Ramos
Michael Ramos@backnotprop·
the pattern if today is orchestration. Speed is nice - cursor composer 2 was awesome. Opus 4.7-4.8 was by far the worst series and they were losing me. But fable provides best experience I’ve had working with models. Parallelizing more work over longer period, I now go to the gym or someone’s birthday party and the model is working reliably.
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dax
dax@thdxr·
claude code grew so fast because they had the most usable model say something, get a magical result pretty quickly these ultra smart slow expensive models like fable (and the old codex ones) are the exact opposite
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Matt Pocock
Matt Pocock@mattpocockuk·
1. Delete the docs you create to explain your code 2. Take the tokens you save on updating those docs 3. Spend them on making your code self-explanatory
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Michael Ramos
Michael Ramos@backnotprop·
@RhysSullivan Probably not the case - but I got phished this way through Uber Eats, the restaurant network was compromised.
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Michael Ramos
Michael Ramos@backnotprop·
These takes gain a lot of popularity, but honestly you can, in fact, spec out a lot of software or specific features just fine. Many of you conflate spec driven development with waterfall. But throughout almost all of my career I never really coded a thing until I knew what I wanted to build. And then yeah, I iterated when I had to learn or face new challenges or unexpected behavior. Spec-driven development doesn't challenge that. github.com/plannotator/2n… Had a simple process to spec out what I wanted with the model and it was built in 30 minutes almost on par and I didn't really request any changes. Better models stay aligned to the spec.
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Michael Ramos
Michael Ramos@backnotprop·
I wanted a terminal notes app that is directory based - notes per directory vs file saving - that I can use next to agent sessions in any directory. So i built 2n - write notes for any directory, fast/ergonomic for mediocre terminal users (like me). There's also tree-based navigation to find any notes across your system. Built on OpenTUI, vibed with 5.6-Sol in about 30min.
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Michael Ramos
Michael Ramos@backnotprop·
I win. If you've never experienced the luxury of a toxic relationship - this is literally what it feels like.
Michael Ramos@backnotprop

@RhysSullivan if they do I cancel all the maxes I bought & am depressed. if not I probably buy 2 more and am also depressed.

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Michael Ramos
Michael Ramos@backnotprop·
not for me. Fable orchestration in claude code is a top tier for bulk work orchestration. Codex models are great and the app is awesome, I delegate work to it (from Fable), or knock many things out with it. But it's not a complete replacement for the flow state CC offers right now.
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Rhys
Rhys@RhysSullivan·
do you think fable is going to be removed from the subscriptions tomorrow?
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Michael Ramos
Michael Ramos@backnotprop·
`facts` skill Focus attention to the shit that matters immediately before or after something is built.
Michael Ramos tweet media
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Michael Ramos retweetledi
Theo - t3.gg
Theo - t3.gg@theo·
@thsottiaux tl;dr version: - set up CLIProxyAPI with Claude and Codex auth - Connect to Claude Code - Make "claudex" alias that sets some env vars Took like 2 prompts (I already had the proxy set up tbf)
Theo - t3.gg tweet mediaTheo - t3.gg tweet media
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Michael Ramos
Michael Ramos@backnotprop·
@petercarp320 All the agent browsers have this by the way, but if you have use cases for working outside of the agent browsers. It's an extension that I whipped with models today. It'll hit the extension stores after approval. You can just manually use it if you want. github.com/plannotator/ap…
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Michael Ramos
Michael Ramos@backnotprop·
back to the basics
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Michael Ramos
Michael Ramos@backnotprop·
You’re closer to being right I think vs other comments and new feature demos - a subagent should exist if you are parallelizing real bulk work efforts. It’s not about having ephemeral research minions or saving costs imo (I spend way more with subagents). It’s about orchestrating more work in parallel effectively (more spend). It’s hard to do this right because you want a main agent to have full control and ability to steer agents in real time (not just launch subagents and wait for their output). You also want subagent state to be durable. A good harness has to, or something like herdr could by default, enable all of this - again not simple imo. CC has done this very well. Empowering the main to act as an integrated operator while preserving its own context, durable subagent state, the whole thing feels like intelligent kubectl. Codex did something too ambitious this update.
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Dillon Mulroy
Dillon Mulroy@dillon_mulroy·
this is also why i don't add asub agent tool to pi and force it explicitly to use herdr + new pi instance when i want subagent like behavior this kind of thing is only going to keep pushing ent/api token spend customers to open weight models
Ben Vinegar@bentlegen

first time using GPT 5.6 Sol, I asked it to come up with good section headings for our next podcast episode it spun out 4 subagents to read one transcript file then conceded the subagents were just doing fake work because the parent did everything anyways the tokens must flow

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Michael Ramos
Michael Ramos@backnotprop·
@tthomasdd Wait, you should still make the pi plugin. This is a good baseline if you want to use it. Due to the file and the state tracking it does, you could easily build a dashboard around it.
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Thomas D
Thomas D@tthomasdd·
@backnotprop i was literally just asking pi to build this for pi, and here comes your post onto my timeline
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Michael Ramos
Michael Ramos@backnotprop·
Orchestrator (Skill) - Your harness is the router I built this so it works across harnesses. Use it as a skill in your preferred coding agent, it can call/manage/delegate to any other agent. It goes beyond claude -p and codex exec, and gives any agent an operational plane to model other agents. For example, an operator can manage a full codex app-server - multiple threads, steer, and set goals. It accounts for your usage limits, so you can use up all your token bandwidth across providers. Describe your preferences in simple language and your harness will smart route for you. Inspired by Kubectl and Claude Code subagent background processing. I think using @SpaceXAI Grok4.5 will best as main orchestrator so that's where I'm testing this mainly.
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ClaudeDevs@ClaudeDevs

A second strategy: use Fable 5 as an orchestrator. Fable 5 plans and delegates to workers (Sonnet 5). Most tokens are billed at the lower worker rate.

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Michael Ramos
Michael Ramos@backnotprop·
@eersnington Damn, you're right. Simple landing page here. turned into a a super annoying exercise.
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Sree
Sree@eersnington·
gpt 5.6 sol in any variant loves to spawn subagents within sub agents within subagents within subagents until you reach 11 layers of a matryoshka doll per parent sub agent task and they're just passing the work down too past subagent 4. truly incredible
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Ben Vinegar@bentlegen

first time using GPT 5.6 Sol, I asked it to come up with good section headings for our next podcast episode it spun out 4 subagents to read one transcript file then conceded the subagents were just doing fake work because the parent did everything anyways the tokens must flow

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