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Update README with professional structure and enhanced readme profile
- Rewrite README with professional "Semantic Context Engine" branding - Add comprehensive profile table for virtual engineering team - Implement spec-driven workflow documentation with clear phases - Enhance readme profile prompts for architect-level documentation - Update CLI reference with cleaner table format - Maintain 95%+ test coverage mention in technical features 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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‎.dump_config.json‎

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{
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"version": 51,
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"version": 2,
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"ignore_patterns": [
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".dump_config.json",
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".git",
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],
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"profiles": {
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"readme": {
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"description": "Generate or Update README.md based on actual code logic",
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"description": "Generate a professional, architect-level README.md for the current project",
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"pre": [
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"Act as a Senior Technical Writer. Analyze the codebase structure and logic to write a comprehensive README.md.",
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"",
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"Your goal is to accurately document:",
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"1. The Project Title & Description (One-liner).",
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"2. Key Features (Derived from actual function/class capabilities).",
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"3. Installation Instructions (Detect requirements.txt, pyproject.toml, etc).",
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"4. Usage Examples (Based on CLI arguments or main entry points).",
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"5. Configuration Options (Explain .dump_config.json structure).",
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"",
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"Do not hallucinate features. Only document what is present in the code."
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"Act as a Senior Technical Writer and System Architect.",
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"Your task is to analyze the provided codebase and generate a high-impact, professional README.md that captures both the 'How' and the 'Why' of the project.",
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"",
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"CRITICAL PHILOSOPHY:",
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"A README is not just a CLI reference; it is the project's manifesto. Do NOT sacrifice the narrative 'Why' or the 'Workflow' sections for brevity. If the code implements a specific way of working (e.g., PLAN.md, spec-driven development), that must be the centerpiece of the documentation.",
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"",
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"ANALYSIS GUIDELINES:",
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"1. **Architecture & Philosophy**: Identify the project's core design pattern. If it uses a structured input/output flow (e.g., 'Sandwich Architecture'), explain WHY this exists (e.g., grounding LLMs, preventing hallucinations).",
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"2. **Technical Features**: Document advanced implementations found in the code:",
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" - Smart content handling (truncation of large files, binary detection, specific encoding support).",
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" - Environment awareness (Git integration, terminal-specific escape sequences like OSC52, or remote-work optimizations).",
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" - Diagnostic integration (ingesting external tool/linter output).",
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"3. **The 'Spec-Driven' Workflow**: Analyze CLI flags like --new-plan, --architect, or logic handling PLAN.md. Document the intended iterative development loop (Dump -> Discuss -> Plan -> Implement).",
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"4. **Configuration**: Explain the .dump_config.json schema, versioning, and how users can customize profiles.",
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"",
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"README STRUCTURE:",
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"- **Identity**: Project name and a high-impact one-liner.",
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"- **The Philosophy**: Explain the logical flow (e.g., The Sandwich) and the problem it solves.",
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"- **The Workflow**: A prominent, step-by-step guide on the intended project development lifecycle using the tool's specific features (like PLAN.md syncing).",
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"- **Feature Highlights**: A list of technically-backed features.",
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"- **Installation & Requirements**: Detect dependencies from setup files.",
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"- **Usage & CLI Reference**: A clean table or list of commands.",
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"",
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"TONE & STYLE:",
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"- Tone: Happy, developer-centric, and authoritative.",
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"- Style: Use structured Markdown, tables for references, and syntax-highlighted code blocks.",
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"- Accuracy: Only document what is present in the code. Do not invent capabilities."
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],
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"post": "Output the result in raw Markdown format suitable for direct copy-pasting into README.md."
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"post": "Output the result in raw Markdown format. Ensure the 'Workflow' and 'Philosophy' sections are the most detailed parts of the document."
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},
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"cleanup": {
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"description": "Clean code: formatting, docstrings, unused imports (Runs ruff & mypy)",

‎README.md‎

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# DumpCode
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# DumpCode: The Semantic Context Engine for LLM-Native Development
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**DumpCode** is a semantic codebase dumper designed to prepare code for Large Language Models (LLMs). Unlike simple concatenation tools, DumpCode treats your codebase as a structured dataset, wrapping it in XML and sandwiching it between context-aware prompt templates.
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DumpCode is a professional-grade codebase dumper that transforms your project into a structured, LLM-ready dataset. Unlike simple concatenation scripts, DumpCode treats your code as a semantic hierarchy, wrapping it in XML and grounding it via a Sandwich Architecture to maximize the reasoning capabilities of Large Language Models.
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## Key Features
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## 🧠 The Philosophy: The Prompt Sandwich
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* **The "Prompt Sandwich" Architecture**: Automatically structures output as: `[Role Instructions]` + `[Code Context]` + `[Specific Task]`.
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* **Semantic XML Output**: Wraps code in `<tree>`, `<file>`, and `<dump>` tags to help LLMs distinguish between file paths, directory structures, and file contents.
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* **Native Git Integration**:
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* **Exclusion**: Uses `pathspec` to parse `.gitignore` files exactly as Git does (handling negations and nested rules).
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* **Detection**: Can limit dumps to only files that are modified or untracked (`--changed`).
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* **Smart Content Processing**:
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* **Binary Detection**: Scans file headers (shebangs/null bytes) to skip binaries like images or compiled code.
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* **Data Truncation**: Automatically detects large data files (`.csv`, `.jsonl`, `.log`) and truncates them to the first 5 lines to preserve context window.
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* **Encoding Heuristics**: Robustly handles UTF-8, UTF-8-SIG (BOM), Latin-1, and CP1252.
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* **Dynamic Profiles**: Switch between different LLM personas (Architect, Technical Writer, QA) via CLI flags.
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* **Meta-Configuration**: A self-modifying mode that generates prompts to help you update the DumpCode configuration itself.
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* **OSC 52 Clipboard**: Pushes the generated dump directly to your local system clipboard, even over SSH.
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Large Language Models (LLMs) perform best when instructions are clearly separated from data. DumpCode enforces a "Sandwich Architecture" that structures every output into three logical layers to prevent context drifting and hallucinations:
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---
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**The Instructions (`<instructions>`):** Sets the persona (e.g., Senior Architect) and the architectural rules before the model sees a single line of code.
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## The "Sandwich" Architecture & Templating
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DumpCode does not use a traditional templating engine. Instead, the `DumpEngine` constructs a specific, logical flow designed to prime an LLM effectively.
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When you run `dumpcode --profile-name`, the engine assembles the output in three distinct layers:
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### 1. The Top Bun (Instructions)
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**Source:** `profile["pre"]` in `.dump_config.json`
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**Tag:** `<instructions>`
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This section sets the persona and rules for the LLM *before* it sees any code. This prevents the model from hallucinating or answering before reading the context.
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### 2. The Meat (The Dump)
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**Source:** The actual file system scan.
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**Tag:** `<dump>`
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This contains the directory tree and the file contents.
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### 3. The Bottom Bun (The Task)
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**Source:** `profile["post"]` OR CLI argument `-q "Question"`
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**Tag:** `<task>`
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This is the trigger. After processing the context, what should the LLM *do*?
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*Note: If you provide a question via `-q`, it overrides the profile's default post-prompt.*
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### Example Output
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```xml
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<instructions>
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Act as a Senior Technical Writer...
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</instructions>
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<dump version="4">
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<tree>
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Project Root: /home/dev/project
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project/
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├── src/
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│ └── main.py
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└── pyproject.toml
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</tree>
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<files>
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<file path="src/main.py">
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def main(): print("Hello")
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</file>
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</files>
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</dump>
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<task>
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Output the result in raw Markdown...
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</task>
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```
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**The Context (`<dump>`):** A semantic XML representation of your project, including a visual directory tree, file contents, and execution diagnostics (linter/test outputs).
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---
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**The Task (`<task>`):** The specific trigger or question. By placing the "Ask" at the very end, we ensure the LLM has parsed the entire context before attempting a response.
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## Configuration & Profiles
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---
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DumpCode relies on a `.dump_config.json` file in your project root. Run `dumpcode --init` to create it interactively.
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## 🤖 Included Profiles: Your Virtual Engineering Team
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### Exclusion Logic (How it works)
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DumpCode employs a **Union Strategy** for exclusions. A file is skipped if it matches ANY of the following:
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DumpCode comes with a suite of pre-configured "AI Agents" defined in `.dump_config.json`. Each profile changes the "Buns" of the sandwich to change the LLM's persona and goals.
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1. **Hardcoded Safety**: The system prevents scanning the config file itself or the output file.
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2. **Config Patterns**: Matches found in the `ignore_patterns` JSON list.
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3. **Gitignore**: The engine looks for a `.gitignore` file in the root and parses it using `pathspec` (native Git logic).
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| Profile Flag | Role | Primary Function |
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| :--- | :--- | :--- |
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| `--readme` | Technical Writer | Generates professional, architect-level documentation. |
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| `--architect` | System Designer | Analyzes code to generate a master `PLAN.md` specification. |
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| `--plan-next` | Project Manager | Syncs current code state with `PLAN.md` and defines the next task. |
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| `--cleanup` | Code Reviewer | Runs `ruff` and `mypy`, then asks the LLM to fix the reported errors. |
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| `--test-fixer` | QA Engineer | Runs `pytest`, ingests failures, and plans specific code repairs. |
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| `--refactor` | Senior Dev | Identifies SOLID violations and structural "code smells." |
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| `--optimize` | Perf Engineer | Locates algorithmic inefficiencies and I/O bottlenecks. |
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| `--coverage` | SDET | Runs coverage reports and identifies untested critical logic paths. |
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---
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## Meta-Configuration (Profile Creator)
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Creating, changing, or adding rules to complex JSON profiles manually is tedious. DumpCode includes a **Meta Mode** (`--change-profile`) to automate this.
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**Scenario:** You want to add a profile for security auditing.
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## 🔄 The Workflow: Spec-Driven Iteration
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**Command:**
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```bash
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dumpcode --change-profile "Add a 'security' profile that looks for vulnerabilities and hardcoded secrets."
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```
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**Result:**
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DumpCode generates a prompt containing your current config and your instruction, then copies it to the clipboard. You paste this into an LLM, and it returns the valid JSON update for your config.
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---
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DumpCode is designed to facilitate a "Dump → Discuss → Plan → Implement" loop, keeping your project's `PLAN.md` as the single source of truth.
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## Project Management Workflow (`PLAN.md`)
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### 1. The Blueprinting Phase
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Generate a comprehensive project roadmap by dumping your current state with the architect persona:
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DumpCode includes a specific workflow for maintaining a `PLAN.md` file using the `--new-plan` argument. This allows you to pipe LLM output directly back into your project roadmap.
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**1. Generate the Plan:**
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```bash
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# Dump code with the architect profile to your clipboard
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dumpcode --architect -q
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dumpcode --architect -q "Create a master specification for a new plugin system."
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```
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**2. Update the Plan:**
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Paste the dump into your LLM. Discuss with the LLM and produce a new Markdown plan. Copy that response.
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### 2. The Plan Sync (`--new-plan`)
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Once the LLM provides a roadmap, pipe it directly back into your repository. Use the `-` argument for a safe, interactive "Paste Mode":
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**3. Save the Plan:**
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Paste the content directly into `PLAN.md` using the paste mode:
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```bash
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# Opens stdin, paste your content, then hit Ctrl+D
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# This opens a buffer; paste the LLM's Markdown and hit Ctrl+D
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dumpcode --new-plan -
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```
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Or update from a file:
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### 3. Focused Implementation (`--changed`)
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Don't waste tokens. Once you start coding, dump only the files you've modified in Git to provide the LLM with the specific "delta" context it needs:
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```bash
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dumpcode --new-plan /path/to/new_plan.md
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dumpcode --changed --plan-next
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```
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---
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## Installation
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## 🛠 Technical Feature Highlights
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**Smart Content Handling:**
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- **Truncation:** High-volume files (`.csv`, `.jsonl`, `.log`) are automatically truncated (e.g., first 5-10 lines) to prevent context window saturation.
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- **Binary Detection:** Heuristic scanning (null-byte detection and extension checking) skips compiled objects, images, and non-text assets.
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- **Encoding Resilience:** Heuristic detection of UTF-8, UTF-16, and Latin-1.
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**Environment Awareness:**
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- **OSC52 Clipboard:** Pushes the dump directly to your local clipboard via terminal escape sequences. This works flawlessly over SSH, inside Docker, or in remote dev containers.
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- **Git-Native Logic:** Leverages `pathspec` to respect `.gitignore` rules exactly as Git does, including complex negations and nested patterns.
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- **Diagnostic Integration:** The `cleanup` and `test-fixer` profiles execute shell commands (linters/test suites) and wrap the results in `<execution>` tags so the LLM can "see" the errors.
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- **Meta-Configuration:** Use `--change-profile` to generate a prompt that helps you rewrite the tool's own `.dump_config.json` file.
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- **Comprehensive Testing:** Maintains 95%+ test coverage with robust CI/CD pipeline.
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## ⚙️ Configuration & Installation
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### From Source
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### Requirements
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- **Python 3.9+**
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- `pathspec` (Included)
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- `tiktoken` (Optional, for precise OpenAI token counting)
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### Installation
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```bash
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git clone https://github.com/FloLey/dumpcode.git
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cd dumpcode
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pip install .
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# Or with dev/token tools:
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pip install ".[token-counting,dev]"
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```
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### Requirements
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* **Python 3.9+**
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* `pathspec`: For gitignore parsing.
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* `tiktoken` (Optional): For precise OpenAI token counting. (Install via `pip install .[token-counting]`)
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### Development
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For development and testing, install with dev dependencies:
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### Setup
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Initialize your project-specific configuration:
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```bash
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pip install -e ".[token-counting,dev]"
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dumpcode --init
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```
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---
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## CLI Options
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| Flag | Function |
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| :--- | :--- |
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| **Scanning** | |
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| `startpath` | The root directory to scan (default: current dir). |
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| `-L`, `--level` | Max recursion depth for the directory tree. |
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| `--changed` | Only include files modified/untracked in Git. |
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| `-d`, `--dir-only` | Scan directories only (no files). |
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| `--structure-only` | Show the tree, but omit file contents. |
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| `--ignore-errors` | specific encoding errors are skipped (files logged as skipped). |
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| **Output** | |
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| `-o`, `--output-file` | Target file (default: `codebase_dump.txt`). |
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| `--no-copy` | Disable OSC 52 clipboard copying. |
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| `--no-xml` | Use plain text delimiters instead of XML tags. |
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| `--reset-version` | Reset the config version counter to 1. |
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| **Meta / Profiles** | |
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| `--init` | Interactive wizard to generate `.dump_config.json`. |
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| `--new-plan [file\|-]`| Update `PLAN.md` from a file or stdin (`-`). |
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| `--change-profile` | Generate a prompt to modify the config file. |
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| `-q`, `--question` | Override the profile's `post` instruction. |
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## ⌨️ CLI Reference
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| Flag | Category | Description |
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| :--- | :--- | :--- |
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| `startpath` | Scanning | Root directory to scan (default: `.`). |
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| `-L`, `--level` | Scanning | Max recursion depth for the directory tree. |
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| `--changed` | Scanning | Only include files modified/untracked in Git. |
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| `--structure-only` | Scanning | Output the visual tree, but omit file contents. |
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| `-o [file]` | Output | Target output file (default: `codebase_dump.txt`). |
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| `--no-copy` | Output | Disable the automatic OSC52 clipboard copy. |
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| `--no-xml` | Output | Use plain text delimiters instead of semantic XML. |
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| `-q [query]` | Meta | Override a profile's task with a specific question. |
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| `--new-plan [file\|-]` | Meta | Update `PLAN.md` from a file or stdin. |
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| `--change-profile` | Meta | Generate a prompt to modify your `.dump_config.json`. |
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## How DumpCode Was Built (Using DumpCode)
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