Tagged #ai-spend
4 {count, plural, one {post} other {posts}}.
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· Paul Lukic
One Model for Six Jobs: Why We Made Per-Task Model Selection Opt-In
Coding agents delegate to sub-agents with wildly different demands, and almost everyone runs all of them on one model. Here is the cost of that, why a shipped default would be worse, and how we built model selection that asks once and always reports what it did.
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· Paul Lukic
Recursive Self-Improvement for Artificial Intelligence Coding Agents: What Is Real, What Is Theory, and What We Shipped
Recursive self-improvement is the idea that an artificial intelligence system improves its own ability to improve. Here is what the theory actually says, why the model-level loop is still theory, and how we built the instruction-level version for coding agents with a human at the gate.
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· Paul Lukic
AI Tool Sprawl: Your Devs Are Drowning in Inefficient Agents
Running five AI coding tools doesn't give you five times the leverage. It gives you five agents grepping the same repo, and a token bill that quietly compounds.
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· Paul Lukic
Build vs. Buy Code Intelligence: The Real ROI
Building in-house code graphs costs $250k+ and 6 months. Adopting Coograph cuts AI spend 80% while freeing engineers to ship product.