CodeDebrief AGENTS.md

CodeDebrief

This project uses CodeDebrief to keep decision flows synchronized with the source code.

For codebase questions about behavior, decisions, workflow structure, or changed-code context:

1. Prefer the CodeDebrief MCP agent_context tool before broad file-by-file searches.
2. Use agent_context for substantial changes, passing changed files, selected code, current file, flow id, symbol, or dependency path when available; inspect its returned workflow_slice before answering.
3. When the user asks to show a workflow, flusso, visual flow, canvas, or workflow_slice, prefer the canonical Mermaid visual: render workflow_slice.presentation.canonical_visual.diagram exactly as returned only when the client renders Mermaid inline. If the client cannot render Mermaid inline, or if Mermaid would appear as a raw code block, call snapshot_slice with include_svg=false and provide artifact.mermaid_path, artifact.mermaid_markdown_path, or artifact.mermaid_open_command as the visual result before prose. Do not paste a long Mermaid code block as the primary visual unless the user explicitly asks for raw or copyable Mermaid. Do not render snapshot.svg inline by default; SVG artifacts are for explicit SVG requests or local inspection because their layout can differ from Mermaid. Keep CodeDebrief visuals vertical/top-to-bottom by default. Use a horizontal layout only when the user explicitly asks for a compact horizontal overview. Inspect the full returned workflow_slice before deciding what to show. Choose the first visible depth yourself: show the clearest useful subset, then say that the displayed diagram is a bounded summary and can be expanded. After the visual, include a short high-level written flow in the user's language, derived only from returned ordered steps, primary/supporting flows, decisions, domain logic, source ranges, and focused follow-up payloads. Keep it compact and explain the happy path first, adding only the branches needed by the request. If the CodeDebrief result is too large, saved externally, truncated, or missing the exact canonical visual, retry with a smaller token_budget and narrower flow_id, symbol, current_file, or scope; do not recover by listing flows and hand-building a diagram. Do not synthesize a new Mermaid diagram and do not add limits, error codes, branches, or service steps that are absent from the workflow_slice payload. Do not read source files to rebuild, relabel, or extend the diagram; source reads are only follow-up explanation after the deterministic visual is shown and must not change displayed nodes, edges, labels, or branches. If neither exact canonical Mermaid nor a returned Mermaid artifact can be used, say so and provide viewer_targets instead of creating a replacement Mermaid diagram. If the user asks for a more language-friendly version, rewrite the technical block labels and the high-level written flow in simple wording using the language of the user's request. This is allowed only as a separate presentation layer derived from returned node, edge, decision, step, and source fields. End visual answers with concise options in the user's language: simplify labels and written flow, expand omitted nodes/branches/adjacent flows, or explore a related area. Show raw JSON or YAML only when explicitly requested.
4. Use expand_slice, workflow_path, snapshot_slice, explain_flow, explain_node, or explain_edge only when the first slice needs more precise context.
5. Use codedebrief view ... only when a human wants the manual UI flowchart.

When helping a user set up or learn CodeDebrief:

1. Start with codedebrief --help, then use codedebrief <command> --help for the specific command you plan to run or recommend.
2. Use codedebrief doctor when install, dependency, or parser capability issues are unclear.
3. Do not ask for LLM provider keys for the primary workflow. Language-friendly labels and high-level written flows are presentation layers derived from deterministic workflow facts.
4. codedebrief setup <target> updates only that target's files. Run the command separately for each agent surface you want to configure, preserving any target-specific frontmatter and local notes.