1. Compute & Algorithmic Efficiency Are Becoming Commodities

We treat the first two axes as inevitable background forces: larger compute budgets and continuous algorithmic improvement are baseline drivers. As the essay states:

“We can put them on a unified scale of growing effective compute… 3× is 0.5 OOMs… 100× is 2 OOMs.”

Compute prices will fall, algorithmic efficiency will compound, and effective compute will grow in successive orders-of-magnitude (OOM) steps. Local Code assumes these curves persist, compressing the cost of cognition for software creation.

2. The Real Arbitrage Is Unhobbling Gains

The third axis “unhobbling” is where the real multiplier lies. As the essay notes:

“By default, models learn a lot of amazing raw capabilities, but they are hobbled… RLHF, chain-of-thought, tools, and scaffolding unlock significant latent capabilities.”

This is the frontier. Chain-of-thought prompting (CoT), parse-by-parse reasoning, RLHF for long-horizon behaviors, tool-use scaffolds, desktop agents, and broader agentic browser work all represent large latent multipliers without requiring brand-new models. The shift from “chatbot” to “agent” is precisely such an unhobbling leap.

3. Local Code Captures the Unhobbling Layer

Most AI dev-tools chase incremental UX improvements or model wrappers. Local Code instead is designed to weaponize latent capability at the system-level: chain-of-thought execution, tool-driven reasoning, persistent memory, parallel agents, system-level situational awareness, and full-stack control loops. While compute and algorithms improve, Local Code sits above and multiplies them. We are not waiting for the next generational model: we exploit what’s already latent.

4. Strategic Mandate

By 2027 we can expect stacked OOMs across all three axes—compute, algorithmic efficiency, and unhobbling. The platform that channels those OOMs into real autonomy becomes the dominant compounding engine for software creation. Local Code intends to be that engine—the IDE where compute curves, algorithmic efficiency, and unhobbling effects converge into maximal automation. This is how we build a tool that makes individual developers 10×, 100×, eventually 1000× more economically productive.

5. Founder Context

As recognized early, the leverage is not in writing code faster; it’s in orchestrating machine cognition and tool-use at scale. Local Code operationalizes that philosophy. We build for world-defining impact: tools building tools for compounding output. Our goal: launch to the public by early December 2025, reach our target user base, and turn Local Code into the core automation stack for the next generation of productive computer use.