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baranorhan
16 posts

baranorhan
@baranorhandev
AI & Data Engineer @ SF cybersecurity startup. Nights & weekends maker ➔ https://t.co/gYn2Dtlowy Creator of https://t.co/SaS0r00aCd
Ankara | SF Katılım Aralık 2012
103 Takip Edilen57 Takipçiler

@daronyondem claude codeun olsuturdugu memory ile codexin olusturdugu memory cakistiginda hangisi source of truth olarak kabul ediliyor
Türkçe

Birkac aydir bu proje uzerine calisiyorum. Gunluk AI kullanimimin 90% bunun uzerinden geciyor.
github.com/daronyondem/ag…
Benim inanilmaz isime yariyor :) Belki size de yarar.
Türkçe

Posecode is open source.
Underneath the demo is a small movement language, a parser, range-of-motion checks and a Three.js renderer.
Source:
github.com/posecode-dev/p…
English

@arvidkahl same problem here
maybe keep separate branches for the agents but let both use the same local services with isolated db schemas and index prefixes?
English

@pentagoniac open weights help but the real question is whether the full stack can be audited
training data evals system prompts deployment controls and compute still stay concentrated..
English

always wondered why ai generated text uses so many em dashes
AI Breakfast@AiBreakfast
@uncledoomer Concerning.
English

@srchvrs also better approach is to use multiple models as separate reviewers like one checks clarity and structure, one acts as a domain critic, one looks for unsupported claims and missing citations then compare the disagreements instead of accepting a single polished rewrite
English

What's the motivation of people to not use LLMs to polish their writing and make it more understandable and idiomatic? So many poorly written papers. It's completely unforgivable in the era of ChatGPT when everyone can produce native speaker quality English prose.
PS: I don't suggest direct generation of papers using LLM, only careful postediting and draft revision.
English

@gdb been testing this kind of reasoning on posecode, a small language i’m building for turning movement descriptions into 3d animation
the hard part is keeping joint constraints consistent across the whole motion
curious how sol handles that (medium effort)
English

Sol for complex reasoning and data analysis:
Box@Box
GPT-5.6 Sol is a breakthrough in complex reasoning and data analysis. Here, it analyzes hundreds of pages across a lending deal, reconciles terms across agreements, financials, diligence, collateral, and risk materials, flags issues, and saves a source-cited report to Box.
English

@arvidkahl this works when the tests and specs are actually good
otherwise you’re just moving the code review problem somewhere else
English

Setting up the agentic harness to be a) test-first, b) documentation-centric, and c) configured by a detailed operation procedure spec makes not looking at the code possible. Without any of these three, chaos reigns.
But with them, code review becomes optional most of the time.
antirez@antirez
It is my belief that many devs right now are not maximizing what they can do with automatic programming because they still look at the code. Doing it makes you the bottleneck. Your time is better invested in new ideas, QA, design, and asking yourself what is your goal.
English
