GitHub - yuzushi-dev/Soulkiller: Longitudinal Personality Modeling for Reflective Agents
Longitudinal Personality Modeling for Reflective Agents - yuzushi-dev/Soulkiller
GitHub
Pollinations, LM Studio, Copilot CLI, OpenAI—all in one ComfyUI node suite. Prompt enhancing, image/video gen, speech synthesis. Local or cloud, mix and match. https://github.com/OvertliDS/overtli-studio-suite
GitHub - OvertliDS/overtli-studio-suite: A ComfyUI suite of nodes for Pollinations, LM Studio, Copilot CLI, and OpenAI-compatible generation with prompt enhancing, image gen, video gen, speech/audio gen, for local/cloud multi-engine workflows.
A ComfyUI suite of nodes for Pollinations, LM Studio, Copilot CLI, and OpenAI-compatible generation with prompt enhancing, image gen, video gen, speech/audio gen, for local/cloud multi-engine workf...
GitHub
MCP sounds great in theory. Then you notice every connection starts with 55k tokens of overhead. That's a 30x cost penalty. Token math, accuracy impact, and escape routes: https://www.mmntm.net/articles/mcp-context-tax
The MCP Tax: Hidden Costs of Model Context Protocol
Why MCP's 55,000-token startup cost and context-as-transport architecture creates a 30x cost penalty. Token economics, accuracy degradation, and escape routes.
MMNTM Research Team
why type much when type little work same? this claude code skill cuts tokens 65% by stripping the fluff. brutally practical. 🪨 https://github.com/JuliusBrussee/caveman
GitHub - JuliusBrussee/caveman: 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman - JuliusBrussee/caveman
GitHub
We fingerprinted 178 AI models and found clone clusters. Some write identically but cost 185x more. Wild. https://www.rival.tips/research/model-similarity
The Model Similarity Index 2026 — Rival Research
178 models fingerprinted. Clone clusters found. Some models write identically but cost 185x more.
Rival
Five git commands to know where a codebase hurts before reading a single line. Spoiler: git blame won't be one of them. https://piechowski.io/post/git-commands-before-reading-code/
The Git Commands I Run Before Reading Any Code
Five git commands that tell you where a codebase hurts before you open a single file. Churn hotspots, bus factor, bug clusters, and crisis patterns.
Ally Piechowski
If you like suno locally, check out https://github.com/ace-step/ACE-Step-1.5 it has a nice UI, too https://github.com/fspecii/ace-step-ui
GitHub - ace-step/ACE-Step-1.5: The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.
The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices. - ace-step/ACE-Step-1.5
GitHub
Not gonna lie, I've lost way too much time on these community Apple Silicon ML benchmarks. M4 Ultra numbers go crazy. https://omlx.ai/benchmarks
Community Benchmarks — oMLX
Real benchmark results from oMLX users. Compare performance across Apple Silicon chips and models.
omlx.ai
Hold Control to talk, release to transcribe and paste. 100% local speech-to-text on macOS using WhisperKit + local LLM for cleanup. https://github.com/matthartman/ghost-pepper
GitHub - matthartman/ghost-pepper: Hold-to-talk speech-to-text for macOS. 100% local, powered by WhisperKit and local LLM cleanup. Hold Control to record, release to transcribe and paste.
Hold-to-talk speech-to-text for macOS. 100% local, powered by WhisperKit and local LLM cleanup. Hold Control to record, release to transcribe and paste. - matthartman/ghost-pepper
GitHub
Linear. Stripe. Vercel. Raycast. Different brands, same background color. There's a reason—the one color decision that screams "we thought about this." https://blog.stackademic.com/color-decision-premium-ui-design-d6890efe11ba
The One Color Decision That Makes a UI Look Expensive
Open any product that reads as "premium." Linear. Stripe. Vercel. Raycast. Look past the brand color. Look at the backgrounds, the borders…
Medium
LLMs ranked by coding ability. The gap between "sounds smart" and "actually is smart" is both hilarious and useful to know. https://arena.ai/leaderboard/text/coding?viewBy=plot
LLM Leaderboard - Best Text & Chat AI Models Compared
Compare and explore Text models ranked by coding performance.
LLM Leaderboard - Best Text & Chat AI Models Compared
Some legend reverse-engineered 1,902 Claude Code files into 50 architecture lessons. Boot sequence, unreleased features, Mermaid diagrams, real code. Wild. https://www.markdown.engineering/learn-claude-code/
Claude Code Source Deep Dive — Markdown Engineering
50-lesson architecture course built from 1,902 leaked Claude Code source files. Boot sequence to unreleased features, with Mermaid diagrams and real code.
Markdown Engineering
Ever wondered what actually goes on inside Claude Code? This site reverse-engineers the agent loop, 40+ tools, multi-agent orchestration, and unreleased features—all from source. Super useful for understanding how these AI agents tick. https://ccunpacked.dev/
Claude Code Unpacked
What actually happens when you type a message into Claude Code? The agent loop, 40+ tools, multi-agent orchestration, and unreleased features, mapped from source.
Claude Code Unpacked
One dev shipping like a team? That's the promise of autonomous agents. OpenClaw shows how it's actually done. https://towardsdatascience.com/using-openclaw-as-a-force-multiplier-what-one-person-can-ship-with-autonomous-agents/
Using OpenClaw as a Force Multiplier: What One Person Can Ship with Autonomous Agents | Towards Data Science
It's easier than ever to 10x your output with agentic AI.
Towards Data Science
Ollama + Apple Silicon = stupid fast. MLX makes local LLM inference hilariously quick on your M-series Mac. https://ollama.com/blog/mlx
Ollama is now powered by MLX on Apple Silicon in preview· Ollama Blog
Today, we're previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple's machine learning framework.
ollama
19 patterns that actually make ChatGPT useful. Wish I'd found this sooner. https://www.reddit.com/r/promptingmagic/comments/1o9ep2j/19_laws_of_chatgpt_prompts_every_power_user/
19 Laws of ChatGPT prompts every power user should know
These 19 laws turn ChatGPT into a creative partner - not a typing machine. Learn them once, and you’ll write prompts that feel alive. 💬 19 Laws of…
Reddit
„Rettet den Humboldthain Club ! Luxemburger Investor bedroht Berliner Clubkultur !” - Jetzt unterschreiben! https://c.org/fMFTFzZGBv v
Petition unterschreiben
Rettet den Humboldthain Club ! Luxemburger Investor bedroht Berliner Clubkultur !
Change.org
Take flat 2D city maps → make them pop in 3D. This prompt handles the transition. Useful for urban visualization and data viz work. https://gist.github.com/kibotu/d9eec089594feba483861afecf830fcf
2d-3d-city-hightlght-prompt.md
2d-3d-city-hightlght-prompt.md · GitHub
Gist
vibe coding in a nutshell: click clack ASMR is weirdly satisfying. zero context needed. https://www.twitch.tv/jamiepinelive/clip/ColdAmericanPizzaCoolStoryBob-V2rmXMF_7tfqZFol
jamiepinelive - click clack
Watch jamiepinelive's clip titled "click clack"
Twitch
Learns visual features from raw images—no labels required. Self-supervised vision transformer doing surprisingly clever stuff. https://aidemos.atmeta.com/tribev2/
TRIBE v2
A self-supervised vision transformer model by Meta AI
aidemos.atmeta.com