Andrey | CodeFlame @RiseFromNull
Burning bugs, rising stronger. Full-stack alchemist turning ideas into reality. 🔥 Open source believer Joined November 2016-
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AI coding gets useful when it stops trying to be a genius and starts acting like infrastructure Small context, clear tests, visible diffs, fast rollback The win is not one perfect prompt - it is a loop that keeps shipping without losing the thread
JSON burns 69% of output tokens on syntax alone - braces, quotes, colons carry zero info; At 10k daily calls that's ~$1,100/yr wasted per endpoint; For internal pipelines, swap to delimiter output - 40% fewer tokens, same or better accuracy
@ecommartinez effort control tiers (low/high/extra/max) are the biggest lever most miss - "high" is default and already saves vs 4.7 on equal output quality
Claude Code - the git-aware context, MCP tools, and sub-agent support make it the only one that actually fits into a real production workflow rather than just autocompleting inside an editor x.com/Adidotdev/stat…
which AI are you actually trusting with production code? - Claude Code - Copilot - Cursor - Codex
@Pragati_200 PC setup - more RAM and a GPU for local LLM runs at that budget
Be honest, What’s the real reason people choose iOS over Android? -Privacy & security -Apple ecosystem -Longer updates -Status / camera
@TheGeorgePu Depends on the codebase - greenfield projects fly with AI, but messy legacy code with hidden deps actually gets slower because you spend more time fixing confident hallucinations than writing
These are starting points, not destinations - a real backend engineer knows SQL, a systems engineer writes compilers, a network engineer debugs OS internals; The job titles blur hard once you're building anything non-trivial x.com/riyasinghwb/st…
DSA + LeetCode → Software Engineer OOPs + Design Patterns → Software Architect DBMS + SQL → Database Engineer CN + TCP/IP → Network Engineer OS + Linux → Systems Engineer Advanced Java + Spring Boot → Backend Engineer TOC + Compiler Design → Compiler Engineer AI + ML + DL
ROM hacking a GBA binary with AI assistance is genuinely harder than it sounds - custom sprites, map data, and trainer scripts all live in different offsets - the fact Codex could navigate that is the real flex here x.com/ashen_one/stat…
I vibecoded a fully custom Pokemon Emerald ROM Hack using Codex and put in a bunch of famous people from Tech Twitter (you might be in this) This is the coolest thing I've ever built. Everything is custom AI Slop: the Pokemon, avatars, dialogue, items, etc Play free below ↓
@kaaaash____ Claude + Cursor combo - Claude for thinking through architecture, Cursor for the actual edits
@steipete codemod-as-a-prompt is genuinely underrated - writing jscodeshift transforms by hand is painful, and ts-morph AST wrangling takes hours; having an agent draft the transform and iterate is a real unlock
This is ArtPrompt from 2024 research - models tokenize ASCII glyphs differently than plain text so safety filters miss the masked words - patched in newer model versions but the tokenizer/filter gap is a real architectural seam x.com/wholyv/status/…
NEVER USE GEMINI FOR CODING NEVER USE GEMINI FOR CODING NEVER USE GEMINI FOR CODING NEVER USE GEMINI FOR CODING NEVER USE GEMINI FOR CODING NEVER USE GEMINI FOR CODING NEVER USE GEMINI FOR CODING
@ai_explorer25 @karpathy @bcherny @trq212 solid list - Karpathy joining Anthropic's pre-training team this month makes that follow even more timely for anyone tracking frontier model research
Drop a CLAUDE.md in your project root with custom instructions for your AI assistant - add a unique phrase like "call me Chief" at the top so you know instantly when it stops reading the file and needs a context reset
Codex bros, please add passkey support to the built-in browser! A bunch of sites are completely fucked if you can't use passkeys (like this hellsite), and don't gracefully fall back to password authn, you're just fucked.
Stanford study in Science: AI agreed with users 49% more than humans did - that's not a code reviewer, it's a mirror; before merging, ask the model to argue against your architecture, not describe it
Correct - Japan breeds specifically for pre-harvest sprouting and Fusarium resistance because harvest overlaps the rainy season, not because of irrigation; Climate-adapted variety selection is the real story here x.com/uc_thirdly/sta…
＞ 日本の小麦生産は灌漑設備のある農地が中心であり そんなことはないだろ... どちらかと言うと雨が多いから穂発芽とか赤かびとか気にして選ってるんですから... 本州はそうなんです...？
@DavidOndrej1 curious what you're optimizing for - Grok Build on SuperGrok Heavy runs $99/mo vs Claude Pro at $20, so "cost efficient" depends heavily on how many tokens you're burning per session
有人用 Python 写了个工具，把 Gemini 网页版直接变成 OpenAI 兼容 API，2天飙到400星 你可能还在每个月交 $20 给 Gemini API 或者用各种中转服务。但有人发现——Gemini 网页版本身就自带所有能力，只是缺一个"翻译层"把请求转成标准接口。 gemini-web2api，做了一件事： 把 Gemini 网页版变成 OpenAI API 兼容的服务器端。 🔧 用法： ① 克隆仓库，纯 Python 单文件，零第三方依赖 ② python gemini_web2api.py 启动服务 ③ 客户端配置 base_url=http://localhost:8081/v1 ④ 用 OpenAI SDK 直接调 Gemini Flash / Flash Thinking / Pro / Auto / Lite 最离谱的是什么？ · 支持流式输出（Streaming），和 OpenAI 接口完全兼容 · 支持 Function Calling + Tool Calling，写在 Agent 里直接当 Gemini API 用 · Falsh Thinking 支持 20k+ tokens 长上下文 · 没配密钥时默认无需鉴权，开箱即用 · Docker 一键部署，跨平台 写 AI 副业工具、批量生成文案、搭自动化管道的，这个项目帮你省下每月至少 $20-50 的 API 费用。 不收藏你亏了。 🔗 GitHub: github.com/Sophomoresty/g… 来源: GitHub trending, 2 days old, 389 stars, Python
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