AICodeKing examines Octen as a search tool for coding agents. Its skills distinguish focused searches from extracting known documentation pages and broader research. The walkthrough emphasizes finding documentation for the dependency version in use rather than accepting a plausible answer from memory.
The installation exercise confirms that Codex discovers the core skills, not that authenticated search works end to end. Documentation notes were manually handed to the agent for two deliberately seeded bugs, so the results do not measure a percentage improvement caused by the live integration.
One repair moves a Python timeout handler outside the context that converts cancellation into a timeout exception. The other enables SQLite foreign-key enforcement before starting a transaction. All six unchanged checks pass after the repairs, including cases that preserve unrelated exceptions and valid relationships.
The public search demo also produces misleading extra advice and an incorrect explanation despite returning relevant documentation. AICodeKing recommends reading the decisive passage, making a minimal edit and exercising the behavior with tests.
Local design-helper regression tests pass, but the live design endpoint is not tested. Pricing and benchmark comparisons are described as advertised or reported figures, not a demonstrated tenfold increase in coding capability. Real version-specific tasks and total task cost remain the proposed test of value.
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