The AI Native Dev - from Copilot today to AI Native Software Development tomorrow Claude, TypingMind, AMP & MCP Servers: The Future Dev
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Nov 3, 2025 In this conversation, Alan Pope, Senior Developer Advocate at Tessl, dives into the intriguing world of Model Context Protocols (MCPs). He discusses how MCPs provide AI agents with structured access to development environments while ensuring human oversight. Alan emphasizes the trend towards spec-driven development, moving away from 'vibe coding'. He also highlights the risks of outdated MCPs, recommends entry points for using AI agents, and showcases how personal knowledge bases can help generate authentic content. Tune in for insights on navigating the future of AI in software development!
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Specs Turn Ideas Into Implementations
- Alan Pope found LLMs accelerated turning his ideas into working software without traditional dev training.
- Specs let him describe intended behavior so models can implement technical details reliably.
Upload Your Writing For Authentic Voice
- Upload personal writing and docs to agent knowledge bases to match your authentic tone and style.
- Use TypingMind's knowledge feature to generate content that closely resembles your voice.
Let Agents Write Directly To Disk
- Give agents controlled access to local folders so they can write files directly instead of copy-pasting code.
- Combine File System MCP with GitHub MCP to create and publish repos from the agent's session.