Uploaded January 2026 | Updated September 2026, 2 weeks ago
AI coding agents can drastically speed up your workflow, but without the right habits, they often lead to "context rot" and unmaintainable code. This video breaks down 10 essential lessons from a year of AI development, teaching you how to plan, test, and manage your agents like a senior engineer. Stop "vibe coding" blindly and start building reliable systems with this structured approach.
LINKS:
teltam.github.io/posts/using-cc.html
lighton.ai/lighton-blogs/rag-is-dead-long-live-rag-retrieval-in-the-age-of-agents
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In this video, I discuss the pros and cons of using coding agents like Claude Code and share insights from my year-long experience with them. I highlight the importance of not outsourcing your thinking, emphasizing clear planning, incremental development, and test-driven practices. Learn how to manage context, utilize Git effectively, and leverage multiple models for better results. Join me as I share essential tips to maximize the benefits of AI coding agents while minimizing common pitfalls.
00:00 The Dual Nature of Coding Agents
00:26 The Hype and the Reality of AI in Coding
01:18 Lesson 1: The Core Principle: Don't Outsource Your Thinking
01:53 Lesson 2: Managing Context Effectively
02:35 Lesson 3: Planning Before Coding
03:38 Lesson 4: Incremental Development
04:13 Lesson 5: Treat AI as a Junior Developer
05:13 Lesson 6: Mastering Test-Driven Development
05:38 Lesson 7: Grounding Your Model
06:47 Lesson 8: Knowing When Not to Use Subagents
08:08 Lesson 9: Git as Your Safety Net
08:43 Lesson 10: Using Multiple Models for Better Results
09:34 Conclusion: The Virtuous Cycle of AI Development
#vibecoding #agenticai #vibecode
AI coding agents can drastically speed up your workflow, but without the right habits, they often lead to "context rot" and unmaintainable code. This video breaks down 10 essential lessons from a year of AI development, teaching you how to plan, test, and manage your agents like a senior engineer. Stop "vibe coding" blindly and start building reliable systems with this structured approach.
LINKS:
teltam.github.io/posts/using-cc.html
lighton.ai/lighton-blogs/rag-is-dead-long-live-rag-retrieval-in-the-age-of-agents
Let's Connect:
🦾 Discord: discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: ko-fi.com/promptengineering
|🔴 Patreon: patreon.com/PromptEngineering
💼Consulting: calendly.com/engineerprompt/consulting-call
📧 Business Contact: engineerprompt@gmail.com
Become Member: tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
In this video, I discuss the pros and cons of using coding agents like Claude Code and share insights from my year-long experience with them. I highlight the importance of not outsourcing your thinking, emphasizing clear planning, incremental development, and test-driven practices. Learn how to manage context, utilize Git effectively, and leverage multiple models for better results. Join me as I share essential tips to maximize the benefits of AI coding agents while minimizing common pitfalls.
00:00 The Dual Nature of Coding Agents
00:26 The Hype and the Reality of AI in Coding
01:18 Lesson 1: The Core Principle: Don't Outsource Your Thinking
01:53 Lesson 2: Managing Context Effectively
02:35 Lesson 3: Planning Before Coding
03:38 Lesson 4: Incremental Development
04:13 Lesson 5: Treat AI as a Junior Developer
05:13 Lesson 6: Mastering Test-Driven Development
05:38 Lesson 7: Grounding Your Model
06:47 Lesson 8: Knowing When Not to Use Subagents
08:08 Lesson 9: Git as Your Safety Net
08:43 Lesson 10: Using Multiple Models for Better Results
09:34 Conclusion: The Virtuous Cycle of AI Development
#vibecoding #agenticai #vibecode
