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progx

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And how much token and time you use to solve a problem? The price alone doesn't mean anything.

Example DeepSeek-V4-Pro (high) needs 10 times more token then GPT 5.5 (medium) and can compete only with the price.

The real price saver are the cache prices, the ting, that nearly nobody has on their radar.

Deno Desktop 1 month ago

Opt into the bundled Chromium (CEF) backend when you need identical rendering across macOS, Windows, and Linux.

Sound more like Electrobun

That is what the AI said:

1. Classic Coding (Traditional Development) In the classic model, developers are the primary authors of every line.

    Production Volume: A senior developer typically writes between 10,000 and 20,000 lines of code (LOC) per year.
    Workflow: Manual logic construction, syntax memorization, and human-led debugging using tools like VS Code or JetBrains IDEs.
    Focus: Writing the implementation details. Success is measured by the quality and maintainability of the hand-written code. 
2. AI-Supported Coding (The Modern Workflow) AI tools like GitHub Copilot and Cursor act as a "pair programmer," shifting the human role to a reviewer and architect.
    Production Volume: Developers using full AI integration have seen a 14x increase in code output (e.g., from ~24k lines to over 810k lines in a single year).
    Work Distribution: Major tech leaders like AWS report that AI now generates up to 75% of their production code.
    The New Bottleneck: Developers now spend roughly 70% of their time reviewing AI-generated code rather than writing it.

I think realistic 5x to 10x is possible. 50.000 - 200.000 LOC per YEAR !!!! Would it be good code? We will see.