Reviewed classification, synthetic code generation, JSONL creation, and validation flow from the beginning based on the Qwen Validation Debugger code analysis document written on July 13.
Identified the following issues during analysis:
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 was parsed by the actual Godot engine, Godot 4‑specific syntax could appear in Godot 3 code and still proceed to the next stage.
It was difficult to guarantee that independently generated version‑specific code would maintain the same functionality, input flow, target, and results.
Insufficient constraints on JSONL response field types and nested structures could produce forms that differ from the existing schema.
When generating negative JSONL, the current code could be included, causing the model to reuse direct evidence from the current code.
If a slot had a different version or lacked direct evidence before the change, the model’s judgment could produce an incorrect yes.
Limited retry handling and structured response constraints were lacking for distinguishing HTTP 429, 502, 503, 504, connection termination, and request timeouts.
Decided that, rather than fixing only partial prompt tweaks, we need to re‑establish the fundamental flow, so we created a new document defining the input, generation, inspection, schema, and judgment order for synthetic data E2E.
Restated the purpose of the Qwen Validation Debugger as verifying E2E with synthetic data before building the actual Retriever and validator.
Separated classification results from synthetic code generation inputs so that the classification model’s description does not get incorrectly 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 dynamically select other test items so the current code is not copied, and added a check after generation to see if the current code’s direct evidence overlaps.
Updated the existing JSONL schema to validate required fields, types, enums, and the presence of additional fields, and moved judgments that can be determined solely from version and direct string evidence to be handled before the model call.
Connected the ideaworldlab.com purchased from Cloudflare to a Vercel project and completed 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 correctly recognized.
Registered with Google, Bing, Naver, and Yandex.
Baidu was excluded from this search‑engine registration round because site registration requires a Chinese phone number and regional information.