AI Automation Increased Work Instead of Free Time
AI tools accelerated each task, but the endless cycle of prompting, testing and new releases made it harder to stop working.
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AI can accelerate software prototypes, but cryptographic code exposes why expert developers must still control the design and review every decision. AI lets one person turn a product idea into a testable prototype before recruiting a team or committing substantial capital.
With Pete Winn, Yo and Andy David
7 ideas developed from this conversation
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AI can accelerate software prototypes, but cryptographic code exposes why expert developers must still control the design and review every decision. AI lets one person turn a product idea into a testable prototype before recruiting a team or committing substantial capital.
Ideas from Episode 62
AI Coding Tools Need Cryptographic Guardrails
AI can accelerate software prototypes, but cryptographic code exposes why expert developers must still control the design and review every decision.
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AI Compresses Product Iteration From Weeks to Minutes
Coding agents can accelerate a familiar cycle of design, delegation and testing, but the faster cadence makes active oversight more important.
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AI Makes MVP Experiments Faster and Cheaper
AI lets one person turn a product idea into a testable prototype before recruiting a team or committing substantial capital.
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AI Writes Examples, Not Core Library Code
Library author Lighthazard uses AI to expand the supporting material around his work while keeping the code he cares about under his own control.
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Smaller AI Models Work Better on Narrow Tasks
Dividing software work into bounded jobs can make cheaper models a practical alternative to a single request sent to the largest available model.
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Wingman Turns Natural Language Into Agent Workflows
Pete built Wingman to turn a plain-language description of a process into an editable pipeline of code, specialised agents and loops.
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