Robert Piosik CWC

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Robert Piosik CWC

Robert Piosik CWC

@robertpiosik

Programmer @CodeWebChat The first principle is that you must not fool yourself and you are the easiest person to fool. - Richard Feynman

เข้าร่วม Kasım 2012
949 กำลังติดตาม223 ผู้ติดตาม
Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@mattpocockuk When a system is layered, it's useful to include everything anyways so the model have more understanding of the thing and won't hallucinate
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Matt Pocock
Matt Pocock@mattpocockuk·
I've found myself writing: "I don't know this area of code well. Go up a layer of abstraction. Give me a map of all the relevant modules and callers." Might need a new skill here. What should I name it?
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@pierceboggan @toddanglin Man, on low-end monitors the new, forced on me dark theme looks so baad... Please, more taste going forward when changing defaults in VS Code
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Pierce Boggan
Pierce Boggan@pierceboggan·
@toddanglin Yes, and this is exactly why those that have it are more in demand than ever. With collapsed software lifecycle, you must constantly be deciding what’s next. Instincts are very important for that
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Todd
Todd@toddanglin·
A lot of this discourse on AI “taste” amuses me. There are PLENTY of humans (and especially developers!) that I’d argue also lack “taste.”
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@burkeholland Crazy bad justification for the agentic paradigm that forces people to not to think WHERE a change should take place...
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@rakyll @antigravity Agents try to take problem understanding off your shoulders. Not a great idea if you want to maintain expertise/get better at problem solving. Static file picking for chatbots is better, it forces you to explore and maintain the codebase, think WHERE and partly HOW for guidance
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Jaana Dogan ヤナ ドガン
Everyone I work with uses @antigravity like every second of the day and rely on numerous agentic helpers we have for every review and more. Most people evaluate other harnesses for personal projects continuously, and some are driving multi harness orchestration.
Steve Yegge@Steve_Yegge

I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year. The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too. But why is Google so... average? How is it that a handful of companies are taking off like a spaceship, and the rest, including Google, are mired in inaction? My buddy's observation was key here: There has been an industry-wide hiring freeze for 18+ months, during which time nobody has been moving jobs. So there are no clued-in people coming in from the outside to tell Google how far behind they are, how utterly mediocre they have become as an eng org. He says the problem is that they can't use Claude Code because it's the enemy, and Gemini has never been good enough to capture people's workflows like Claude has, so basically agentic coding just never really took off inside Google. They're all just plodding along, completely oblivious to what's happening out there right now. Not only is Google not able to do anything about it, they don't seem to be aware of the problem at all. I'm having major flashbacks to fifty years ago as a kid at the La Brea Tar Pits, asking, "why can't they just climb out?" My Google friend and I had this conversation over a month ago. I didn't share it because I wanted to look around a bit, and see if it's really as bad as all that. I've been talking to people from dozens of companies since then. And yeah. It's as bad as all that. Google is about average. Some companies at the bottom have near-zero AI adoption and can't even get budget for AI. They may have moats and high walls, but the horde is coming for them all the same. And then there are a few companies I've met recently who are *amazingly* leaned in to AI adoption. One category-leader company just cancelled IntelliJ for a thousand engineers. That's an incredibly bold move, one of many they're making towards agentic adoption. In my opinion, that company is setting themselves up for a _huge_ W. As for the rest, well, it's the Great Siloing. Everyone's flying blind. With nobody moving companies, no company knows where they stand on the AI adoption curve. Nobody knows how they're doing compared to everyone else. Half of them just check a box: "We enabled {Copilot/Cursor} for everyone!" Cue smug celebrations. They think this is like getting SOC2 compliance, just a thing they turn on and now it's "solved." And they don't realize that they've done effectively nothing at all. All because of a hiring freeze.

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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@ryanflorence You just manage context. That's it. Zero-overhead prompts with files, edit format instructions and task do the job
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Ryan Florence
Ryan Florence@ryanflorence·
I'm not sure anybody has AI coding figured out, but some sure think they do I've experienced the entire spectrum from "my job is cooked" to "agents are chopped, doing this myself" I see their tweets and think "ah yes, I remember being on that point in the cycle last month"
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David Cramer
David Cramer@zeeg·
the single claude code session i have today has just bricked itself once again back to codex
David Cramer tweet media
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Dillon Mulroy
Dillon Mulroy@dillon_mulroy·
harness subagents make it too easy to offload thinking
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@badlogicgames What could be the reason of this? I think the flat company structure they praise is not suitable for a real grind and accountability needed to build things from scratch
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Rhys
Rhys@RhysSullivan·
not having to type is really nice, but i think i want to go back to manually writing the code myself and more leveraging LLMs for research and understanding of the codebase it's just too easy to defer you thinking today and end up in a bad state
Rhys@RhysSullivan

from my experience, even the best models (Opus 4.6, 5.4 xhigh / 5.3 codex) cannot write good code today without an amount of work that is equivalent to just doing the work myself am excited for a world where they can, but in the current state i have very low trust in them

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Dmitry Lyalin
Dmitry Lyalin@LyalinDotCom·
I feel like I continue to peak out at four agents running on the same project. I do have to say sitting there watching them... it feels like I'm missing out, I should be doing more. What an odd reality.
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@zeeg I'm 100% convinced there is no other world of AI coding than using harness for you 🥲 Harness is the cause of low performance with small models
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David Cramer
David Cramer@zeeg·
to be clear im mostly talking about coding models, and exclusively talking about LLMs "i prefer to use XYZ harness because i can use local models" just tells me you dont understand state of whats happening
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David Cramer
David Cramer@zeeg·
an awful lot of people promote local models when they're unusable (hardware wise, perf wise, or simple outcomes) one of the many small litmus tests of "does this person have anything to contribute to the conversation"
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@zeeg It all depends how you work. SOTA models are undeniably great for high-level prompting for behaviors. But where you prompt for code in zero-overhead prompts, Gemma 4 dense is very strong
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@zebassembly I work on zero-overhead coding tool (free from tool calling) and Gemini absolutely crushes everything. CWC constructs prompts containing just the selected files, edit format instructions and my task. Worth noting is how correct Geminis are at diffs github.com/robertpiosik/C…
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@camsoft2000 Investors want you brute forcing, it doesn't mean it's effective. You could feel it's otherwise because codebase understanding just might have slipped away
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camsoft2000
camsoft2000@camsoft2000·
I feel like AI has made me less of a programmer and more a "how do I brute force this AI to fix some bug and validate it itself so I don't have to" engineer. Jury is out if I'm or the product is better off for it. What I can say with certainty is AI's ability to do deep analysis and understanding a codebase is far better and quicker than I could ever do.
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Robert Piosik CWC
Robert Piosik CWC@robertpiosik·
@camsoft2000 Codex is still an agent so you are exposed to incomplete/wrong context thus hallucinations
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camsoft2000
camsoft2000@camsoft2000·
I've been using Claude Code a lot recently and I just can't get behind it. Don't get me wrong the TUI is nice, but I just don't like its personality. The lies, the laziness, the it's out-of-scope comments when I've asked it to look into something. Codex can be stubborn sometimes but it does what it's told and is dependable. Going back to Codex is honestly a relief. My current approach is using @RepoPrompt with Codex and then Claude Code for a code simplification/anti slop pass.
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