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Скачать или смотреть Crash Course: AI Agents for Coding (Linear, CodeGen)

  • Aakash Gupta
  • 2025-07-19
  • 3180
Crash Course: AI Agents for Coding (Linear, CodeGen)
coding agentslinearcodegenai codingsoftware developmentai programmingdeveloper toolsautomationgithub integrationai workflowscoding productivitydev toolsai software engineeringproduct managementstartup toolstech demoai developmentcoding automationlinear workflowai agentsaakash guptaproduct growthproduct growth podcastnan yunan yu podcast
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Описание к видео Crash Course: AI Agents for Coding (Linear, CodeGen)

$1.25 BILLION UNICORN. Only 2 Product Managers. We’re talking about Linear, the tool powering product at OpenAI, Perplexity, and Cursor.

Today, I sat down with the person behind it all: Nan Yu, Head of Product at Linear.

In this episode, he breaks down:

1. How AI agents will reshape engineering and PM roles (LIVE DEMO - which you're watching right now)

2. The Linear Method and bunch of not so "common" product principles (check out the newsletter for details on it: https://www.news.aakashg.com/p/nan-yu...)

3. How to build modern tech companies with tiny, elite teams and how he landed his dream PM job (Tune in to the audio version podcast for this):

Apple: https://podcasts.apple.com/us/podcast...
Spotify: https://open.spotify.com/episode/4aHN...

It is LITERALLY a masterclass in product craft from one of the best in the game.

🎥 Timestamps:

Introduction — 00:00:00
AI Agent Demo Starts — 00:00:18
Assigning Task to AI Agent — 00:02:44
AI Agent Tackles Multiple Tasks (Backlog) — 00:06:38
AI Agent Acts Like a Teammate — 00:09:05
Why Use Linear for AI Agents (vs. Direct Tools)? — 00:11:37
Moment of Truth: Does the Code Work? — 00:14:59
Ad (Vanta) - 00:15:43
Ad (AI PM course): 00:16:35
Cool Thing About Linear: 00:17:22
AI Agent Responsibility: Who’s on the Hook? — 00:19:57
Full Sprints by AI: Already Happening? — 00:23:08
Hiring Engineers for an AI-First World — 00:25:13
PM's “Fantasy Job” Is Now Real with AI — 00:26:41
Full Conversation Available on Apple & Spotify — 00:27:13
More in the Newsletter: The Linear Method — 00:27:25

----

Podcast transcript: https://www.news.aakashg.com/p/nan-yu...

💼 Check out our sponsors:

1. The AI Evals Course for PMs & Engineers :Get $800 off with this link - https://maven.com/parlance-labs/evals...

2. Vanta: Automate compliance, security, and trust with AI (Get $1,000 with our link) - https://www.vanta.com/lp/demo-1k?utm_...

3. Product Faculty: Get $500 off the AI PM certification with code AAKASH25 - https://maven.com/product-faculty/ai-...

4. Maven: Get $100 off my curation of their top courses - http://maven.com/x/aakash

👀 Where to Find Nan Yu:

LinkedIn:   / thenanyu  
X: https://x.com/thenanyu
Personal website: https://thenanyu.com
Linear: https://linear.app/partners/aakash

👨‍💻 Where to find Aakash:

Twitter:   / aakashg0  
LinkedIn:   / aagupta  
Instagram:   / aakashg0  

🔑 Key Takeaways:

1. AI agents turn your bug backlog into overnight fixes.
You can literally select your entire backlog of low-priority bugs and assign them all to an AI agent. What used to be months of procrastination becomes a stack of code reviews ready for merge.

2. Engineers are becoming code reviewers, not code writers.
The job is shifting from spending mental cycles creating solutions to verification and validation mode. Reading and understanding code becomes more valuable than writing it from scratch.

3. Linear makes AI coding collaborative instead of secretive.
Unlike tools like Cursor where AI work happens in isolation, Linear creates an audit trail everyone can see. Your manager can click through and watch the AI work in real-time.

4. You can request three competing implementations without being rude.
Tell an AI agent to build the same feature three different ways and pick your favorite. You'd never ask a human engineer to do this, but agents don't have feelings.

5. Some teams are already running entire sprints through AI.
The range is enormous - some companies only use AI for simple bugs while others make AI the first pass on every single pull request with 80% success rates.

6. Product management skills become the new engineering superpower.
When task completion isn't the constraint anymore, the real skill becomes prioritizing the right work and connecting code changes back to business impact.RetryClaude can make mistakes. Please double-check responses.

#ai #aiproducts #aiprompt #linear #aiagents

🧠 About Product Growth:

The world's largest podcast focused solely on product + growth, with over 175K listeners. Hosted by Aakash Gupta, who spent 16 years in PM, rising to VP of product, this 2x/ week show covers product and growth topics in depth.

🔔 Subscribe and like the video to support our content! And turn on the bell for notifications.

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