Akshay 🚀

Google just open-sourced Harness².

(turn any harness into a self-improving system)

a harness is everything wrapped around the model, like the system prompt, tools, memory, skills, and subagents. today a person designs it once, and the agent runs every new task with that same https://t.co/syeSFeqHsT

The Anatomy of an Agent Harness 

How to Vibe Code: A Developer's Playbook

Claude Subagents vs. Agent Teams, explained

Google just open-sourced Harness².

(turn any harness into a self-improving system)

a harness is everything wrapped around the model, like the system prompt, tools, memory, skills, and subagents. today a person designs it once, and the agent runs every new task with that same https://t.co/syeSFeqHsT

The Anatomy of an Agent Harness 

How to Vibe Code: A Developer's Playbook

Claude Subagents vs. Agent Teams, explained

A 100% open-source alternative to n8n!

Sim is a drag-and-drop UI for creating powerful AI agent workflows:

- Runs locally on your machine
- Works with local LLMs

I built a stock market research agent & connected it to Telegram in minutes.

Here's a step-by-step guide: https://t.co/x959BxE2Wg

RAG vs. CAG, clearly explained!

RAG is great, but it has a major problem:

Every query hits the vector database. Even for static information that hasn't changed in months.

This is expensive, slow, and unnecessary.

Cache-Augmented Generation (CAG) addresses this issue by https://t.co/Fhybfn63ST