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Claude Code 101: A First Principles Approach
A working mental model for when to reach for CLAUDE.md, skills, hooks, and subagents
Jun 20 • Akshat Kharbanda, Aiza Hasib, and Aishwarya Naresh Reganti
Building a Multi-Agent Content OS with Claude Code
You feed a three-hour podcast transcript into Claude and ask for a thread, a blog post, and a newsletter section.
May 23 • Akshat Kharbanda, Aiza Hasib, and Aishwarya Naresh Reganti
Designing AI Harnesses: Principles and Practice
A framework for thinking about agents, models, and the layer in between by Rachitt Shah
Jul 9
Reinforcement Learning 101
The training method behind every model you are evaluating, buying, or building on
Jun 6 • Prahitha Movva, Aiza Hasib, and Aishwarya Naresh Reganti
AI Engineering Simply Explained in Under 17 Mins
A mind map for learning how AI products are built
Jul 6 • Aishwarya Naresh Reganti
The Model Is Not The Product
Harness Engineering: Part 1 of 3
Jul 18 • Ravi Yenduri
How Leading AI Teams Design Evals for Production Agents
Insights from Arize Observe 2026.
Jun 13 • Prahitha Movva, Aiza Hasib, and Aishwarya Naresh Reganti
MCP: Overhyped, Misunderstood, and Actually Useful
The number of MCP (Model Context Protocol) myths floating around lately is piling up. Here’s our attempt to give you the nuanced perspective it…
Apr 5, 2025 • Kiriti Badam
How to Choose Your AI Agent Stack in 2026
A builder’s framework for the feature-parity race
Jun 19 • Aishwarya Naresh Reganti, Kiriti Badam, and Aiza Hasib
How to Ship Production Ready Code with AI Assistance
The RePPIT framework by Mihail Eric
May 30
How to Build Your Operating System Using Codex, for Beginners
Codex is a beast for automating workflows, but only if you know how to setup the right systems around it
Jul 16 • Aishwarya Naresh Reganti
A Guide to Building Voice AI for Production
The framework Vapi uses to ship voice agents at enterprise scale
Jun 27
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