My favorite 2026 trend is friends casually showing each other their vibe-coded life/work dashboards and AI setups. Ngl it feels exactly like bringing your Magic: The Gathering binder to school as a teen.
TOOLS
-
Guide to Deploying and Operationalizing AI Applications in Production
By
–
Moving data and AI apps from prototype to production should not take months of custom infrastructure work. This hands-on guide explores how to build → deploy → and operate production-ready apps on Databricks using transactional data layers, built-in governance, and repeatable
-
Transformer Explainer: Visualizing How GPT Models Work
By
–
This free interactive explainer just exposed how GPT actually works.
— AlphaSignal AI (@AlphaSignalAI) 17 mai 2026
Most people treat Transformers like magic. You type something in, words come out.
What happens inside stays a black box for almost everyone.
Transformer Explainer cracks that box wide open. It runs a live… pic.twitter.com/dkSxhjTFIgThis free interactive explainer just exposed how GPT actually works. Most people treat Transformers like magic. You type something in, words come out. What happens inside stays a black box for almost everyone. Transformer Explainer cracks that box wide open. It runs a live
-
optillm: Proxy tool for optimizing LLM reasoning without fine-tuning
By
–
Your LLM can reason better without any fine-tuning! optillm is an OpenAI API-compatible proxy that implements 20+ optimization techniques to improve LLM accuracy on reasoning tasks without training or fine-tuning. The concept: Instead of one API call, optillm makes multiple
-
Using AI to Optimize Sunday Professional Planning
By
–
Sunday isn't just rest day. It's strategy day. While everyone else stresses about Monday, smart professionals are using AI to: → Draft the week's content in 20 minutes → Auto-organize their task list → Prep email responses before the inbox explodes You don't grind
-
Checklist: How to Build AI Agents
By
–
How to build AI Agents • Define scope
• Structure I/O
• Add tools
• Enable reasoning
• Orchestrate agents
• Add memory Smart ≠ enough
Structure + context = performance Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #BuildInPublic -
Optimizing Claude Code Token Usage and API Costs
By
–
STOP BURNING YOUR TOKENS! If you use Claude Code, you are probably wasting 80% of your context window. I found 10 ace tools that will completely rescue your API bill. 1. Caveman Claude
– Literally makes Claude talk like a caveman
– Slashes 75% of output tokens with zero -
User critiques Opus for overconfident responses and cost
By
–
I've stopped using Opus for brainstorming/strategizing, because it keeps wanting to jump to a conclusion and the end of every response. It's too confident it knows the answer every time. It makes it hard to have a back-and-forth. Also, it's too expensive vs Codex 5.5 sub.
-
Building software on mobile using ChatGPT’s Codex
By
–
you can just build things from your phone, with Codex in the ChatGPT app
-
Using AI memory features to personalize code generation and output
By
–
Memories in both ChatGPT and Codex are godsend! It allows them to contextualise and hyper specialise outputs and generations to you and your “taste” I’m often amazed by how Codex would just know tiny details of which tests to run, what commit dynamics it should follow and how to