Building an AI Agent in 100 Lines of Code | Yaniv Aknin

The AI Native Dev - from Copilot today to AI Native Software Development tomorrow

Before you add context, understand the context that’s already there.
In this episode, Yaniv Aknin, founding engineer at Tessl, explains the built in instructions that precede every user prompt, and why acknowledging that hidden layer is critical.
On the docket:
• why tool design matters more than raw reasoning ability
• how Codex does more with fewer tools
• how subagents let Claude stay flexible under context pressure
• why generalist models may adapt better to unfamiliar tools
AI Native Dev, powered by Tessl and our global dev community, is your go-to podcast for solutions in software development in the age of AI. Tune in as we engage with engineers, founders, and open-source innovators to talk all things AI, security, and development.
Connect with us here:
1. Yaniv Aknin- https://www.linkedin.com/in/yanivaknin/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
4. AI Native Dev- https://www.linkedin.com/showcase/ai-native-dev/

Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]

章节

1. Trailer (00:00:00)

2. Introduction (00:01:01)

3. Research on AI Agents and Context (00:04:06)

4. Deep Dive into System Prompts and Tools (00:05:38)

5. Defensive Tasks and Authorization (00:22:22)

6. Tool Usage in Language Models (00:25:07)

7. Planning and Agentic Harness (00:33:24)