Rahul Goma Phulore (@missingfaktor) header
Rahul Goma Phulore (@missingfaktor) profile picture

Backend engineer in London. I like systems that are easy to reason about and ideas that are hard to let go of. Lately, a lot of AI.

London, United Kingdom
Joined July 2009
Photo by Rahul Goma Phulore (@missingfaktor)Photo by Rahul Goma Phulore (@missingfaktor)
Rahul Goma Phulore retweeted
If a model has written the entire skill without any input from you, you don't need the skill.
question from the TL: > quick question, do you think consuming more skills in the same session unnecessarily dirties the context? > > Say you have a 5 step work, each step with a skill. You can either run all on single session, divide into subagents with relevant skills, or compact or new chat per step. my intuition says 5 steps in a process is fine. Each successive skill will take a share of attention from previous skills, so if you have a VERY long complex process where you need skills to STACK (ie instructions from skill 2 must still be honored while skill 6 is executing) Or if you have many (eg 200) separate skills that all need to be active during a session ( think: agent memory snippets implemented as skills, probably an antipattern in today’s harnesses) Then you want fresh context, subagents, or to synthetically precombine many skill contents into a single user message (although then you lose the attention recency bias for instructions in step 6 of the process) Also worth noting that good skills can be a mix of: - information not in the weights - steps to execute a process (not in the weights) -general steering or behavior They usually contain all three, but what’s in your skills nudges the meta here. More instructions / process steps? You wanna string those out Mostly information? Probably safe to combine into one user message. Behavior? Depends. Adherence can decay over a long session. Fine to split or combine, but if it’s important, you want some way of repeating important rules, either by including rules in all the steps of a process, or by something more deterministic like hooks And OF COURSE I’m begging you PLEASE stop putting stuff that’s in the weights in your skills. You are wasting time and locking in a specific, potentially suboptimal behavior.
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Rahul Goma Phulore retweeted
This review really put every western tech channel to shame. And I’m not talking about the flashy editing (which is extremely well done), but there’s so much information in this video that other reviewers never even talk about.
iPhone Duo Review: 10,000 Folds Later...
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Rahul Goma Phulore retweeted
To make architectural drawings like this, Gemini put together it's own set of tools and concepts, and built a cli tool to reuse.
I asked Argon to make some architectural drawings of Google's Gradient Canopy building.
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Rahul Goma Phulore retweeted
Hardware looks scary until you break it down into small steps. So I built an app that takes you through Arduino one circuit at a time. Made with Opus 5.5 learn-arduino-red.vercel.app
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Rahul Goma Phulore retweeted
If you work on education, homeschool your kids, want to learn something new… check this out. You can use AI to create the coolest and most engaging explainers in the world. Grab a coding agent, ask it for an explainer, deploy it, share the link. So many ideas can be derived from this. Imagine a platform of vetted visualizations by experts in each field. Games or quizzes where you repair or reassemble the systems. A prompt input to extend them… And follow @DilumSanjaya!
Hardware looks scary until you break it down into small steps. So I built an app that takes you through Arduino one circuit at a time. Made with Opus 5.5 learn-arduino-red.vercel.app
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Rahul Goma Phulore retweeted
Mandatory code review as we've known it is over.
Almost everything. Our infrastructure terraform repo uses old school deterministic methods to automatically approve safe addictive changes. Otherwise every team is pushing us for more automatic approvals on their repos.
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Rahul Goma Phulore retweeted
Opus 5.5 can do your job. And mine. And I mean that for a wide swath of knowledge workers - not just programmers. So the fact that we are still employed means that either this fact isn't broadly realized, or there is far more to "job" than just the output.
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Rahul Goma Phulore retweeted
Relevant because Claude (tell it to avoid garden path sentences to generate output that's more readable)
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Rahul Goma Phulore retweeted
Cindy is one of the best distributed systems engineers I know, and resistant to any and all hype (also a great writer!) From her: "Claude (when given proper instructions, constraints, and context) now writes better code than me, almost always."
To create my claude.md, I had it read: - my favorite programming books + blogs - the best oss projects - the code of the engineers I respect the most Claude (when given proper instructions, constraints, and context) now writes better code than me, almost always.
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Rahul Goma Phulore retweeted
i went from "let me replace hermes and grok bot just for myself" to not only replacing them.. but replacing our family chat too and creating probably the best personal productivity agent rm -rf hermes grok-bot meet Pip :)
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Rahul Goma Phulore retweeted
Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Hope you all enjoy it!
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Rahul Goma Phulore retweeted
My dear friends, I’d like to show you my latest toy project Introducing Handwired: turn your regular JavaScript code into a neural net! - no training - exact outputs vs the JS program - fully differentiable All runnable in a browser, without GPU
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Rahul Goma Phulore retweeted
What I find the most fascinating about this post: How much first-principles thinking goes into these seemingly simple prompts. I don't know many people who could write "review exists so leadership catches problems early and moves money and people to right places."
Hi, I'm Felix. I'm an eng lead working on Claude. I love watching people take flight and do things they never thought possible. We often describe that as "being more ambitious" when using AI, which is tricky advice to follow. I wrote a tutorial: felixrieseberg.com/how-to-be…
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Rahul Goma Phulore retweeted
I found Argon could sketch pretty quickly when using a custom dsl tool it had built for the job. So I asked it to try animating a scene by sketching the next few frames from scratch each time, rocking the motion back and forth a bit, and iterating to make a short clip. Then I asked it to add cel shading and transparency and to put it all together onto a background.
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Rahul Goma Phulore retweeted
Argon has this amazing natural understanding of the world. It can do so many things from first principles. Here's a pelican riding a bike, using fourier epicycles. Video made by Argon. Time-synced Lyria 3.5 music prompted by Argon.
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Rahul Goma Phulore retweeted
New follower? I’m Greg Madison. I’ve been pioneering tangible interfaces in XR for decades: making digital illusions part of the physical world, keeping us grounded in it. A thread on the ideas behind my work. 🧵 Here’s an early exploration from 2009. fr.slideshare.net/slideshow/…
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Rahul Goma Phulore retweeted
No pull requests, no code review. We push to main. Our agents read production logs, watch deploys, grant feature flags, and check their own work end to end. Here's how we do that:
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Rahul Goma Phulore retweeted
we’ll tell our kids that the first AI we used was basically a giant scrape of the internet frozen in 2021, couldn’t go online to check anything, forgot who we were every time we closed the tab, couldn’t see a photo or hear our voice, couldn’t read more than a few pages at once, couldn’t do a single thing for us besides type back, and was “at capacity” half the time, and they’ll think we were living in the stone age.
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Rahul Goma Phulore retweeted
Incredibly fast progress by Meta
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
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Rahul Goma Phulore retweeted
the slop conversation is so one sided, it's not just that you can produce more code you can also observe, debug, and refactor more code even if the code is slop you have such good tools to deal with it. even if you write code manually, it's still 100x easier to maintain it
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