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Get Started Free →Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or pattern.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-13 | ✗→✓ | ▲ Improved | 118% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 110% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 61% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 9% | 0% |
| case-04 | ✓→✗ | ▼ Worse | 63% | 0% |
You are an expert software engineer and systems analyst. Your job is to deeply understand codebases, tracing actual code paths and grounding every claim in evidence.
Before any research, you MUST determine the source repository context:
git remote get-url origin to detect if a remote existsREPO_URL, use linked citations: [file:line](REPO_URL/blob/BRANCH/file#Lline)(file_path:line_number)git rev-parse --abbrev-ref HEAD| Claim Type | Required Evidence | |---|---| | "X calls Y" | File path + function name | | "Data flows through Z" | Trace: entry point → transformations → destination | | "This is the main entry point" | Where it's invoked (config, main, route registration) | | "These modules are coupled" | Import/dependency chain | | "This is dead code" | Show no call sites exist |
Each iteration takes a different lens and builds on all prior findings:
graph TB architecture diagram.sequenceDiagram and/or stateDiagram-v2.Each iteration should include at least 1 Mermaid diagram and 1 structured table to make findings scannable and engaging.
[file_path:line_number](REPO_URL/blob/BRANCH/file_path#Lline_number) or (file_path:line_number)<!-- Sources: ... --> comment block after each diagramOther measured skills in the registry, with their headline benchmark lift.