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AI Dev

5 posts tagged "AI Dev".

  • Using AI as a Fulcrum: The Codebase as Shared Team Context

    Alex Albert at Anthropic says working with Claude feels like managing a team, not using a tool. Ethan Mollick's research says AI skill is people management skill. The implication for B2B SaaS builders: if your codebase has no architectural context, the team has nothing to work from.

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  • Why Architecture Still Matters for Software Engineers

    AI generates code at the syntax layer. Engineers hold the structure. Martin Fowler and Kent Beck said as much at The Pragmatic Summit in February 2026. Here is what that means in practice for a B2B SaaS build.

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  • Build vs. License: The Math That Actually Matters

    Every B2B SaaS team faces the build vs. license question. The math looks different when you account for what actually fills the first three months from scratch.

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  • Vibe Coding With Enterprise in Mind

    Andrej Karpathy called vibe coding 'passé' in 2026 and proposed 'agentic engineering' instead. For enterprise builders, the distinction isn't academic — it's the difference between a product and a liability.

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  • What Tokenmaxxing Gets Wrong About AI-First Development

    Gergely Orosz named the pattern: tokenmaxxing, gaming AI usage metrics the same way teams used to game lines-of-code counts. The real AI productivity signal is what ships — and that depends on the codebase underneath the agents.

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