> For the complete documentation index, see [llms.txt](https://stackpi-intelligent.gitbook.io/stackpi-intelligent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://stackpi-intelligent.gitbook.io/stackpi-intelligent/alpha-codium/technical-q-and-a.md).

# Technical Q\&A

**Prompt vs. Flow Engineering**

**Q:** How much time was spent on "prompt engineering" compared to "flow engineering"?

**A:** Approximately 95% of the effort was dedicated to high-level design and flow engineering.

**Data Leakage Prevention**

**Q:** How is data leakage avoided?

**A:** The test set includes problems from after September 2021, aligning with GPT-4's data cutoff, ensuring no leakage specifically for GPT-4.

**Language Agnosticism**

**Q:** Is AlphaCodium limited to specific programming languages?

**A:** No, the flow is language agnostic and can be applied to any language.

**Context Window Management**

**Q:** How is the context window managed?

**A:** Models with an 8192 token context window were used. Larger contexts may lead to some information being ignored.

**Iteration on Code vs. Tests**

**Q:** Why iterate only on generated code and not on the AI-generated tests?

**A:** For code problems in CodeContests, iterating on code is more beneficial than on tests, which are simple input-output pairs.