Reviewed from the beginning the classification, synthetic code generation, JSONL creation, and validation flow based on the Qwen Validation Debugger analysis document written on July 13.
While analyzing, identified the following issues:
The description of the common/separate classification stage was carried directly into the code‑generation input, allowing incorrect version syntax to be mixed into the factual basis of the next generation stage.
Because we did not verify whether the generated synthetic code could be parsed by the actual Godot engine, Godot‑4‑only syntax could slip into Godot‑3 code and still proceed to the next step.
It was difficult to guarantee that independently generated version‑specific code would maintain the same functionality, input flow, target, and result.
Insufficient restriction of field types and nested structures in JSONL responses could produce shapes that differ from the existing schema.
When generating negative JSONL, the current code could be included, causing the model to reuse the direct evidence of the current code.
If a slot belongs to a different version or lacks pre‑change direct evidence, the model’s judgment could produce an incorrect yes.
Limited retry logic and structured‑response constraints were lacking for distinguishing HTTP 429, 502, 503, 504, connection closures, and request timeouts.
Determined that rather than fixing only parts of the prompts, we need to re‑establish the fundamental flow, so created a new document defining the input, generation, inspection, schema, and judgment order for synthetic data E2E.
Re‑clarified the purpose of the Qwen Validation Debugger: to verify E2E with synthetic data before building the actual Retriever and validator.
Separated classification results from synthetic code‑generation input so that the classification model’s description does not get mixed into Godot 3/4 code generation.
Improved the process so that generated synthetic code is not only handed to Qwen’s self‑judgment but also immediately checked with the actual Godot 3/4 engine using --check-only --script.
Modified negative JSONL generation to avoid copying the current code; instead, it dynamically selects other test items, and after generation checks whether the current code’s direct evidence overlaps.
Updated the existing JSONL schema validation to check required fields, types, enums, and optional fields, and to handle judgments that can be definitively decided from version and direct string evidence before calling the model.
Connected the ideaworldlab.com domain purchased from Cloudflare to the Vercel project, completing DNS verification and HTTPS certificate issuance.
Configured SEO/GEO foundations so that pages parsed from README and docs are automatically reflected in canonical, hreflang, sitemap, robots, Open Graph, and JSON‑LD without manually registering each document.
Registered a dynamic sitemap containing Korean, English, Japanese, Chinese, Portuguese (Brazil), Spanish, French, German, Russian, and x-default in Google Search Console, confirming that 1,074 pages for ideaworldlab.com are recognized correctly.
Registered the site with Google, Bing, Naver, and Yandex.
Baidu requires a Chinese phone number and regional information for site registration, so it was excluded from this round of search‑engine registrations.