09:25
My Quant AI Execution Alpha Setup Is CRUSHING Polymarket
This video from All About AI explores a technically specific use case: leveraging AI coding assistants — Codex, Claude Code, and Open...
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18:08
Benchmarking Coding Agents on New vs Legacy Codebases — Denys Linkov, Wisedocs
Denys Linkov, ML lead at Wisedocs, presents findings from a six-month production refactor of the company's AI pipeline at the AI Engi...
21:59
How Ramp engineers work with AI agents at every step
This video from Anthropic's Claude channel features Ramp engineers discussing how they have integrated AI agents — specifically Fable...
35:42
Claude CoWork: Automate Client Admin Without Code
Stephanie Nyarko walks through a comprehensive tutorial on Claude CoWork — Anthropic's Claude running locally via the Claude desktop...
16:25
How to trust code that AI wrote
Brian Casel makes the case that the code review bottleneck plaguing AI-assisted development teams is a symptom of micromanagement rat...
29:53
My Super Simple Software Factory (For Agentic Engineers)
IndyDevDan introduces his "Super Simple Software Factory," a multi-agent system architecture designed to give engineers multiplicativ...
14:11
How I Make Apps FEEL 10x Better (5 examples)
Chris Raroque walks through five concrete techniques he uses to make his productivity apps feel premium, using his calorie-tracking a...
21:20
18 Months of Pricing AI Automations in 21 Mins
Nate Herk, who built and sold an AI automation agency that reached over $100,000 per month in recurring revenue, shares 18 months of...
09:21
Loop engineer practice #1: Reddit loop grew 0 to 95 Karma in 7 days
AI Jason walks through a working Reddit engagement loop he built using AI agents, taking his account from negative karma to 97 karma...
22:29
My $100K ARR App Costs $4,198/Month to Run (Full Breakdown)
The founder of Yorby — an AI-powered social media marketing tool for startups — breaks down every line item of operating a $120K ARR...
33:39
AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix
Rajat Shah, a staff software engineer at Netflix's AI Platform organization, delivers a practitioner's guide to using LLM agents for...
21:16
You Can Hand One AI Agent Your Worst Recurring Task. It Cleared 60% Of Mine.
Nate B. Jones presents a detailed walkthrough of how his team used AI to resolve 51 out of 52 customer support issues in a single wee...
21:39
Building Closed-Loop Evals for a Multimodal Agent at Scale — Soumya Gupta & Jai Chopra, Uber
Engineers Soumya Gupta and Jai Chopra from Uber's computer vision team walk through their production multimodal agent for Uber Eats f...
19:38
Learned Execution Graphs for Anomaly Detection & Drift in APIs — Ritvik Pandya, JP Morgan Chase
Ritvik Pandya, who leads the payments team at JP Morgan Chase, presented at AI Engineer on a production system built around what he c...
15:00
Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates
Subbiah Sethuraman and Abhilash Asokan from ZS Associates — a technology firm serving top pharmaceutical companies — deliver a candid...
16:10
You NEED to do this (HUGE AI SAVINGS)
Matthew Berman argues that the most effective AI users have moved beyond prompt engineering and are now focused on token-level optimi...