What would a language look like if it were designed for the agent, not for the human typist?
That question turned into X07 (https://t.co/rZrqIz82t2).
What I wanted the language to do differently
I did not want to bolt an "AI mode" onto a normal language.
I wanted the core workflow to assume:
- structured source instead of fragile text edits
- explicit capability boundaries instead of hidden side effects
- deterministic replay instead of flaky debugging
- machine-readable diagnostics instead of prose-only error messages
- local budgets instead of unbounded execution
That is why X07's canonical source form is x07AST JSON, why worlds are explicit in the world model, and why the repair loop is built into the normal toolchain path.
https://t.co/cYlZlVjUQB
@sama I still see the gpt-5.2(xhigh) is much better than gpt-5.4(xhigh) on difficult complex programming tasks. But gpt-5.4(xhigh) is much faster. Will we get a new model that combines the best from both of them soon?
x07 - the compiled language that humans trust and coding agents love to work with for faster and safer software development: https://t.co/lS2MfkVJNa, https://t.co/iffd176aWI.