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Claude, TypingMind, AMP & MCP Servers: The Future Dev
Manage episode 517687737 series 3585084
How do you give an agent the same visibility a human developer has, without giving it full control?
Alan Pope, Senior Developer Advocate at Tessl, explains how Model Context Protocols (MCPs) give AI agents structured access to dev environments, enabling tools like Claude Code and TypingMind to read, build, and execute safely under human oversight.
On the docket:
• how MCPs enable hybrid collaboration, letting agents take controlled actions inside local environments while surfacing every change for review
• the era of “vibe coding” is fading, with developers moving towards intentional, spec-driven prompting for precise results
• outdated or abandoned MCPs are turning into hidden liabilities
• how developers are uploading personal knowledge bases to let AI generate content that matches their authentic tone and style
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.
Register now to AI Native DevCon - ainativedev.io/devcon
Connect with us here:
1. Alan Pope- https://www.linkedin.com/in/alan-pope-uk/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]
Kapitel
1. Trailer (00:00:00)
2. Introduction (00:00:50)
3. Prompting for LLM-Generated Code (00:03:48)
4. Top AI Dev Tools & Sharing Tips (00:06:03)
5. Rise of Web-Based AI Coders (00:09:19)
6. Using Knowledge Bases for AI Content (00:11:26)
7. Terminal AI Agents & Prompting Tips (00:19:26)
8. Popular MCPs & Hidden Risks (00:30:27)
9. Automating Content via YouTube MCP (00:37:01)
10. Securing Code with Gripe MCP (00:41:31)
11. Future of Spec-Driven AI Collaboration (00:48:01)
79 Episoden
Claude, TypingMind, AMP & MCP Servers: The Future Dev
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Manage episode 517687737 series 3585084
How do you give an agent the same visibility a human developer has, without giving it full control?
Alan Pope, Senior Developer Advocate at Tessl, explains how Model Context Protocols (MCPs) give AI agents structured access to dev environments, enabling tools like Claude Code and TypingMind to read, build, and execute safely under human oversight.
On the docket:
• how MCPs enable hybrid collaboration, letting agents take controlled actions inside local environments while surfacing every change for review
• the era of “vibe coding” is fading, with developers moving towards intentional, spec-driven prompting for precise results
• outdated or abandoned MCPs are turning into hidden liabilities
• how developers are uploading personal knowledge bases to let AI generate content that matches their authentic tone and style
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.
Register now to AI Native DevCon - ainativedev.io/devcon
Connect with us here:
1. Alan Pope- https://www.linkedin.com/in/alan-pope-uk/
2. Simon Maple- https://www.linkedin.com/in/simonmaple/
3. Tessl- https://www.linkedin.com/company/tesslio/
Join the AI Native Dev Community on Discord: https://tessl.co/4ghikjh
Ask us questions: [email protected]
Kapitel
1. Trailer (00:00:00)
2. Introduction (00:00:50)
3. Prompting for LLM-Generated Code (00:03:48)
4. Top AI Dev Tools & Sharing Tips (00:06:03)
5. Rise of Web-Based AI Coders (00:09:19)
6. Using Knowledge Bases for AI Content (00:11:26)
7. Terminal AI Agents & Prompting Tips (00:19:26)
8. Popular MCPs & Hidden Risks (00:30:27)
9. Automating Content via YouTube MCP (00:37:01)
10. Securing Code with Gripe MCP (00:41:31)
11. Future of Spec-Driven AI Collaboration (00:48:01)
79 Episoden
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