{"id":45161571,"url":"https://github.com/aman-cerp/aman-pm","last_synced_at":"2026-02-20T06:02:20.492Z","repository":{"id":335808515,"uuid":"1133479105","full_name":"Aman-CERP/Aman-PM","owner":"Aman-CERP","description":"AI-native project management for developers collaborating with AI coding assistants. 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The current repository is the execution engine and proving ground for the standalone AmanPM platform.\n\n---\n\n## North-Star Vision\n\nAmanPM is designed for a simple operating model:\n\n- You describe what you want declaratively.\n- AmanPM interrogates, challenges, and refines the intent with evidence and reasoning.\n- AmanPM converts intent into requirements, specs, roadmaps, and execution plans.\n- AmanPM delegates implementation to coding agents with strong quality gates.\n- AmanPM continuously learns from outcomes and self-heals its planning and delivery process.\n\n### Positioning\n\nAmanPM is not just another task tracker. It is an **AI-native product execution system** with deep planning + engineering integration.\n\n- Traditional tools: Jira, Monday, Asana, Linear focus on work tracking.\n- AmanPM: adds reasoning, specification, test-first execution, and autonomous adaptation.\n\n### Standalone Goal\n\nAmanPM will eventually run as a standalone system that can:\n\n- Import full project context from Jira, Monday, Asana, Linear, GitHub, and docs systems.\n- Normalize imported data into a single source of truth.\n- Rebuild the execution graph automatically (epics, features, tasks, dependencies, risks).\n- Continue delivery without forcing teams to restart planning from scratch.\n\n---\n\n## Why AmanPM Exists\n\nAI coding assistants are powerful but stateless between sessions unless memory and process are explicit.\n\nWithout persistent operational memory and quality gates, teams face:\n\n- repeated mistakes,\n- inconsistent decisions,\n- drift between goals and implementation,\n- shallow planning,\n- fragile delivery quality.\n\nAmanPM treats project memory, product planning, and engineering quality as one continuous system.\n\n---\n\n## End-to-End Workflow (Declarative-to-Delivery)\n\nThis is the target workflow AmanPM is being built to execute.\n\n### Phase 1: Vision Intake and Clarification\n\n1. **Declarative Vision Submission**\nHuman provides goals, constraints, context, and success intent.\n\n2. **Deep Clarification Loop**\nAmanPM asks targeted questions, offers options, makes recommendations, and explains tradeoffs with reasoning and evidence.\n\n3. **Reasoned Alignment**\nAmanPM can agree, disagree, or challenge assumptions when data suggests a better path.\n\nOutput of Phase 1:\n- refined vision,\n- explicit constraints,\n- decision log,\n- alignment confidence score.\n\n### Phase 2: Product Definition and Approval\n\n4. **Specification Synthesis**\nAmanPM converts aligned intent into:\n- requirements,\n- product specs,\n- roadmap,\n- updated vision document.\n\n5. **Human Review Gate**\nNothing proceeds to execution planning until human approval is captured.\n\nOutput of Phase 2:\n- approved requirement baseline,\n- approved roadmap baseline,\n- approved spec bundle.\n\n### Phase 3: Planning Decomposition\n\n6. **Execution Graph Generation**\nAmanPM decomposes work into:\n- epics,\n- features,\n- tasks,\n- subtasks,\nwith success criteria, acceptance criteria, UAT scenarios, process rules, and checklists.\n\n7. **Delivery Wave and Sprint Planning**\nAmanPM groups all items into waves/sprints with:\n- effort estimates,\n- dependency sequencing,\n- risk flags,\n- project-level execution plan.\n\n8. **Sprint/Wave Plan Authoring**\nFor each sprint/wave, AmanPM generates a dedicated execution packet including scope, targets, quality gates, and exit criteria.\n\nOutput of Phase 3:\n- complete execution graph,\n- multi-wave plan,\n- sprint-level plans ready for implementation.\n\n### Phase 4: Autonomous Engineering Execution\n\n9. **Delegation to Coding Agents**\nAmanPM dispatches sprint plans to coding agents with implementation boundaries and verification requirements.\n\n10. **Test-Driven Delivery Contract**\nImplementation follows TDD by default:\n- unit tests,\n- functional tests,\n- integration tests,\nthen code implementation and validation.\n\n11. **Human Intervention Orchestration**\nWhere external inputs are required (approvals, secrets, third-party configuration, policy decisions), AmanPM pauses proactively and requests exactly what is needed.\n\n12. **Principal Engineer Loop**\nAmanPM's principal-engineer layer writes tests, guides implementation, validates quality, and captures execution telemetry.\n\nOutput of Phase 4:\n- tested implementation,\n- traceable evidence,\n- release-ready artifacts.\n\n### Phase 5: Self-Healing and Continuous Improvement\n\n13. **Learning Capture**\nAmanPM records what worked, what failed, and why.\n\n14. **Process Self-Healing**\nCaptured learnings feed planning heuristics, estimation quality, and decision policies.\n\n15. **Adaptive Reorganization**\nWhen goals or constraints change, AmanPM re-plans with minimal disruption and maintains continuity.\n\nOutput of Phase 5:\n- continuously improving system behavior,\n- tighter forecast accuracy,\n- lower coordination overhead over time.\n\n---\n\n## Human-in-the-Loop Control Model\n\nAmanPM is autonomous by default, not uncontrolled by default.\n\nMandatory approval checkpoints:\n\n- vision alignment approval,\n- spec and roadmap approval,\n- sprint/wave execution approval,\n- release approval for production.\n\nHuman provides direction and final accountability; AmanPM provides planning depth, engineering execution, and operational rigor.\n\n---\n\n## Product Scope AmanPM Intends to Own\n\nAmanPM is being designed to own the full execution surface, not just tickets.\n\n- Product documentation and requirement continuity\n- Planning decomposition and sequencing\n- Test harness ownership and quality enforcement\n- Code quality gates and regression prevention\n- Deployment orchestration and release evidence\n- Post-release telemetry, learnings, and adaptation\n\nThis is why AmanPM functions as PM + Engineering Team in one system.\n\n---\n\n## Current State (Repository Mode Today)\n\nToday AmanPM runs as a repository-native system centered on a durable `.aman-pm/` workspace.\n\n### Core Operating Principles\n\n- If AI cannot remember it, write it to a file.\n- Spec before code.\n- AI proposes, human approves.\n- Link, do not duplicate (single source of truth).\n- Simplify without sacrificing capability or quality.\n\n### Session Workflow (Current)\n\n```\n/aman start -\u003e suggestions -\u003e \"go\" / \"do it\" / \"do 1,3\" -\u003e /aman end\n```\n\n| Command | Purpose |\n|---------|---------|\n| `/aman start` | Load memory, context, suggestions |\n| `/aman` | Show status and next actions |\n| `go` / `do it` | Execute suggested item |\n| `do 1,3,5` | Execute multiple items |\n| `/aman end` | Capture learnings and handoff |\n\n### Sprint Workflow (Current)\n\n```\n/aman groom -\u003e /aman sprint-start -\u003e implementation + validation -\u003e /aman sprint-end\n```\n\n---\n\n## Current Repository Structure\n\n```\n.aman-pm/\n├── context.md\n├── workflow.md\n├── config.yaml\n├── index.yaml\n├── backlog/\n│   └── items/\n├── sprints/\n├── memory-bank/\n├── knowledge/\n├── validation/\n├── decisions/\n├── checklists/\n├── changelog/\n└── sessions/\n```\n\n---\n\n## Intelligence and Analytics Layer\n\nAmanPM includes an analytics layer that turns project data into operational signals for planning and execution decisions:\n\n- command-center status views,\n- probabilistic forecasting,\n- backlog intelligence,\n- data-quality and health monitoring,\n- learning discovery and retrieval.\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://raw.githubusercontent.com/Aman-CERP/Aman-PM/main/screenshots/command-center-overview.png\" target=\"_blank\"\u003e\n    \u003cimg src=\"screenshots/command-center-overview.png\" alt=\"Command Center Overview\" width=\"280\" /\u003e\n  \u003c/a\u003e\n  \u0026nbsp;\n  \u003ca href=\"https://raw.githubusercontent.com/Aman-CERP/Aman-PM/main/screenshots/forecast-projections.png\" target=\"_blank\"\u003e\n    \u003cimg src=\"screenshots/forecast-projections.png\" alt=\"Forecast Projections\" width=\"280\" /\u003e\n  \u003c/a\u003e\n  \u0026nbsp;\n  \u003ca href=\"https://raw.githubusercontent.com/Aman-CERP/Aman-PM/main/screenshots/backlog-overview.png\" target=\"_blank\"\u003e\n    \u003cimg src=\"screenshots/backlog-overview.png\" alt=\"Backlog Overview\" width=\"280\" /\u003e\n  \u003c/a\u003e\n\u003c/p\u003e\n\n---\n\n## Evolution Roadmap\n\n### Stage 0: Repository-Native Engine (Now)\n\n- File-based memory and workflow\n- Sprint and backlog control\n- Quality gates and learnings capture\n\n### Stage 1: Structured Product Intelligence\n\n- Stronger clarification engine\n- Spec synthesis and option reasoning\n- Approval-aware planning\n\n### Stage 2: Multi-Tool Import and Normalization\n\n- Import from Jira, Monday, Asana, Linear, GitHub, docs\n- Dependency and taxonomy normalization\n- Automatic backlog reconstruction\n\n### Stage 3: Autonomous Delivery Orchestration\n\n- Sprint/wave execution packets\n- Agent delegation with checkpoints\n- Test-first implementation governance\n\n### Stage 4: Self-Healing Standalone Platform\n\n- Continuous process learning\n- Adaptive replanning on change\n- Full PM + engineering system with minimal intervention\n\n---\n\n## Who AmanPM Is For\n\nAmanPM is built for founders, product leaders, and domain experts who know exactly what they want to build, but do not want planning and engineering execution to bottleneck on team coordination overhead.\n\nIf you can declare the vision clearly, AmanPM is being built to carry that intent through delivery.\n\n---\n\n## Adoption Guide\n\nFor implementation details and rollout guidance, see [AMANPM-ADOPTION-GUIDE.md](AMANPM-ADOPTION-GUIDE.md).\n\n---\n\n## Status\n\nActive development. Core concepts are production-tested in real project execution while the standalone platform architecture is being built.\n\n---\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faman-cerp%2Faman-pm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faman-cerp%2Faman-pm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faman-cerp%2Faman-pm/lists"}