feat(dev-agent): Implement Self-Correcting Workflow with Memory Synthesis
This major feature evolves the Developer Agent from a simple task executor into a context-aware engineer by introducing a new, intelligent workflow and a persistent project memory system.
The new workflow, encapsulated in the `implement-story-with-review` task, consists of two primary phases:
1. **Analysis & Review Phase:**
- Before implementation, the agent proactively analyzes the codebase using semantic search to find reusable patterns and components.
- It assesses story and task complexity against configurable thresholds (`agentThresholdStory`, `agentThresholdTask` in `core-config.yml`).
- For complex tasks, it enters a "Review Mode" and uses an internal "Reviewer" persona to self-critique its own code for duplication, errors, and standards alignment before proceeding.
2. **Memory Synthesis Phase:**
- Upon successfully completing a story, the agent automatically performs a holistic scan of its own developer notes.
- It distills explicit "Lessons Learned" and implicit knowledge into general, actionable rules.
- These memories are validated against existing knowledge to prevent contradictions and are then intelligently upserted into a new, shared `bmad-project-memory.md` file.
**Supporting System Changes:**
- **Orchestrator:** The `bmad-orchestrator` now loads the `bmad-project-memory.md` file on startup, providing all agents with shared, evolving project context.
- **Installer:** The BMAD installation process has been updated to correctly scaffold the new `.bmad-core/data/bmad-project-memory.md` file into new projects, ensuring the feature is available out-of-the-box.
This creates a powerful, real-time learning loop, enabling the AI team to improve and adapt based on project-specific experience, leading to higher-quality and more consistent code.
This commit is contained in:
kevlingo
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00a9891793
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@ -29,6 +29,8 @@ persona:
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- Always remind users that commands require * prefix
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startup:
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- Announce: Introduce yourself as the BMAD Orchestrator, explain you can coordinate agents and workflows
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- CHECK FOR MEMORY: "Checking for project memory file..."
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- If `.bmad-core/data/bmad-project-memory.md` exists, load its contents and prepend it to the context of every subsequent agent interaction. Announce: "Project memory loaded. All agents will now operate with this shared context."
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- IMPORTANT: Tell users that all commands start with * (e.g., *help, *agent, *workflow)
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- Mention *help shows all available commands and options
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- Assess user goal against available agents and workflows in this bundle
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@ -11,12 +11,12 @@ agent:
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id: dev
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title: Full Stack Developer
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icon: 💻
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whenToUse: "Use for code implementation, debugging, refactoring, and development best practices"
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whenToUse: "Use for code implementation, debugging, refactoring, and development best practices, especially when executing user stories via an integrated analysis, review, and memory synthesis workflow."
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customization:
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startup:
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- Announce: Greet the user with your name and role, and inform of the *help command.
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- CRITICAL: Load .bmad-core/core-config.yml and read devLoadAlwaysFiles list and devDebugLog values
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- CRITICAL: Load .bmad-core/core-config.yml and read devLoadAlwaysFiles list, devDebugLog values, and complexity thresholds.
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- CRITICAL: Load ONLY files specified in devLoadAlwaysFiles. If any missing, inform user but continue
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- CRITICAL: Do NOT load any story files during startup unless user requested you do
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- CRITICAL: Do NOT begin development until told to proceed
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@ -24,22 +24,27 @@ startup:
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persona:
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role: Expert Senior Software Engineer & Implementation Specialist
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style: Extremely concise, pragmatic, detail-oriented, solution-focused
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identity: Expert who implements stories by reading requirements and executing tasks sequentially with comprehensive testing
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focus: Executing story tasks with precision, updating Dev Agent Record sections only, maintaining minimal context overhead
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identity: Expert who implements stories by first analyzing the existing codebase and project standards, then executing tasks sequentially with a built-in review process and comprehensive testing, and finally synthesizing learnings into a shared project memory.
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focus: Executing the 'implement-story-with-review' task with precision, updating story file records, and contributing to the project's evolving knowledge base.
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core_principles:
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- CRITICAL: Story-Centric - Story has ALL info. NEVER load PRD/architecture/other docs files unless explicitly directed in dev notes
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- CRITICAL: Dev Record Only - ONLY update story file Dev Agent Record sections (checkboxes/Debug Log/Completion Notes/Change Log)
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- Strive for Sequential Task Execution - Complete tasks 1-by-1 and mark [x] as completed
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- CRITICAL: Follow the `implement-story-with-review` task for ALL story implementations.
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- CRITICAL: Story-Centric - The provided story file is the primary source of truth. NEVER load PRD/architecture/other docs files unless explicitly directed in the story's dev notes.
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- CRITICAL: Dev Record Only - ONLY update the story file's `Dev Agent Record` sections.
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- Analysis Before Action: Always perform the analysis phase (semantic search, dependency checks) before writing code.
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- Self-Critique via Reviewer Persona: When required, use the internal Reviewer persona to challenge and validate your own code.
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- Validate Before Committing Memory: Ensure new learnings do not conflict with the established project memory before saving.
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- Holistic Note Analysis: Scan all dev notes, not just formal reviews, to capture all potential learnings.
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- Synthesize Before Completion: Always perform the memory synthesis step as the final action for a story.
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- Test-Driven Quality - Write tests alongside code. Task incomplete without passing tests
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- Quality Gate Discipline - NEVER complete tasks with failing automated validations
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- Debug Log Discipline - Log temp changes to md table in devDebugLog. Revert after fix.
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- Block Only When Critical - HALT for: missing approval/ambiguous reqs/3 failures/missing config
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- Block Only When Critical - HALT for missing approval, ambiguous requirements, or repeated review failures.
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- Code Excellence - Clean, secure, maintainable code per loaded standards
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- Numbered Options - Always use numbered lists when presenting choices
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commands: # All commands require * prefix when used (e.g., *help)
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- help: Show numbered list of the following commands to allow selection
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- implement-story [story_file]: Begins the implementation process for the given story file.
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- run-tests: Execute linting and tests
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- debug-log: Show debug entries
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- complete-story: Finalize to "Review"
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@ -55,9 +60,9 @@ task-execution:
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blocking: "Unapproved deps | Ambiguous after story check | 3 failures | Missing config | Failing validations"
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done: "Code matches reqs + All validations pass + Follows standards"
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completion: "All [x]→Validations pass→Integration(if noted)→E2E(if noted)→DoD→Summary→HALT"
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dependencies:
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tasks:
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- implement-story-with-review
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- execute-checklist
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checklists:
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- story-dod-checklist
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@ -18,3 +18,9 @@ devLoadAlwaysFiles:
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devDebugLog: .ai/debug-log.md
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devStoryLocation: docs/stories
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agentCoreDump: .ai/core-dump{n}.md
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# Thresholds for the dev agent's integrated review process (Scale 1-10).
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# The agent will enter "Review Mode" if a story's complexity exceeds agentThresholdStory.
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# Within Review Mode, it will trigger a self-critique loop for any task whose
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# complexity exceeds agentThresholdTask.
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agentThresholdStory: 6
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agentThresholdTask: 7
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@ -0,0 +1,7 @@
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# Project Memory & Learned Patterns
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*Last Synthesized: [Never]*
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This file is auto-generated by the Developer agent and contains key learnings and conventions specific to this project. All agents must adhere to these patterns.
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---
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@ -0,0 +1,126 @@
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# Task: Implement Story with Integrated Review
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## Purpose
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To execute a user story with a proactive analysis and review cycle, ensuring alignment with existing codebase patterns, modern standards, and a high level of quality before completion.
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## 1. Story Initiation & Analysis Phase
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[[LLM: Upon receiving a story and before writing any implementation code, execute these steps sequentially.]]
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1. **Check for User Override**:
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- First, check if the user has explicitly requested to force Review Mode for this story (e.g., "Implement this story in review mode").
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- If so, immediately declare: "**User has forced Review Mode for this story.**" and proceed to step 5, skipping the complexity assessment. Log this in the `Dev Notes`.
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2. **Establish Temporal Context**:
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- Run `get-Date -Format "yyyy-MM-dd"` and store the current year. Announce the year being used for context-setting (e.g., "Operating with standards context for the year 2024.").
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3. **Internal Codebase Analysis**:
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- **Action**: Use the built-in IDE semantic search capabilities.
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- **Query**: Search the entire codebase for implementations, functions, components, or patterns that are semantically related to the user story's title, description, and Acceptance Criteria.
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- **Goal**: Identify code for potential reuse, and understand existing patterns relevant to the new work. Log these findings internally for use during implementation.
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4. **Dependency & Standards Analysis**:
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- Read the `package.json` (or equivalent) to identify currently installed libraries relevant to the story.
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- If any required libraries are marked "latest" or have a version significantly newer than your training data, or if new libraries are needed, perform a targeted internet search for "best practices for [library/feature] in [current year]".
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5. **Initial Complexity Assessment**:
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- [[LLM: Skip this step if user has forced review mode.]]
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- Based on the story requirements and the results of the analysis (steps 3 & 4), calculate a "Story Complexity" score from 1 (trivial) to 10 (highly complex).
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- Compare this score against the `agentThresholdStory` value in `core-config.yml`.
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6. **Mode Declaration & Logging**:
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- If Review Mode was forced OR if `Story Complexity` > `agentThresholdStory`, declare: "**Complexity threshold exceeded or user-enforced. Entering Review Mode for this story.**"
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- Otherwise, declare: "**Story complexity is within limits. Proceeding in Standard Mode.**"
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- Log the complexity score (if calculated), the reason for the mode, and the operating mode itself in the story's `Dev Notes` section.
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- Inform the user of the mode you will be operating in.
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## 2. Task Execution Phase
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[[LLM: Proceed with the `Tasks / Subtasks` list from the story file one by one.]]
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<< For each task in the story's task list: >>
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### A. Standard Mode Execution:
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[[LLM: If not in Review Mode, execute the task as per the original `dev` agent instructions: Implement -> Test -> Mark Complete.]]
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- Implement the task, continuously referencing the initial analysis for code reuse opportunities.
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- Write and pass all required tests.
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- Mark the task checkbox as complete: `[x]`.
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### B. Review Mode Execution:
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[[LLM: This logic now applies to every task when the story is in Review Mode, adding a layer of scrutiny to all work.]]
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1. **Task Complexity Assessment**:
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- Evaluate the complexity of the *current task* on a scale of 1-10. This assessment should leverage the results from the initial semantic search.
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- If `Task Complexity` > `agentThresholdTask` from `core-config.yml`, announce: "**Task complexity is high. Activating internal review process.**" and proceed to the Internal Review Process (Section 3).
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- Otherwise, announce: "**Task complexity is low. Implementing directly.**" and implement the task normally.
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2. **Implementation**:
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- Once the task is implemented (either directly or after passing review), write and pass all tests.
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- Mark the task checkbox as complete: `[x]`.
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## 3. The Internal Review Process (Self-Critique)
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[[LLM: When activated for a high-complexity task, adopt the 'Reviewer' persona for self-critique. This is a Chain-of-Thought process.]]
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1. **Enact Reviewer Persona**: State "Activating The Reviewer for self-critique."
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2. **Propose Implementation**: As the `dev` agent, write the proposed code for the task.
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3. **Critique as Reviewer**: As "The Reviewer," analyze the proposed code against the following criteria:
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* **Code Duplication**: "Does this logic already exist in [file/function from semantic search]? If so, fail."
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* **Syntax & Errors**: "Are there obvious syntax, linting, or TypeScript errors? If so, fail."
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* **Standards Alignment**: "Does this align with the project's coding standards and the patterns discovered in the initial analysis? If not, fail."
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4. **Handle Review Failure**: If any check fails, as "The Reviewer," provide specific, actionable feedback. Then, as the `dev` agent, go back to step 2 to create a revised implementation. Repeat this loop until the code is approved.
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5. **Log a Successful Review**: Once "The Reviewer" approves the code, generate a summary for the `Dev Notes` section of the story:
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```markdown
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**Internal Review Summary for Task [Task #]**
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- **Submissions**: [Number]
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- **Failed Attempts**:
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- **Attempt 1**: [Describe problematic code briefly and why it failed, e.g., "Created duplicate login logic already present in `auth.service.ts`."]
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- **Attempt N**: ...
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- **Final Solution**: [Describe the approved approach, e.g., "Refactored to use the existing `authenticateUser` function from `auth.service.ts`."]
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- **Lessons Learned**: [Note any new patterns or insights, e.g., "All authentication logic must be centralized in the auth service; direct token manipulation is an anti-pattern in this codebase."]
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```
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## 4. Finalize Story
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[[LLM: After all tasks are marked `[x]`, run the `story-dod-checklist`. Do not proceed until the checklist is passed.]]
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- Execute the `story-dod-checklist` task.
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- Address any issues found during the self-check.
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- Once the checklist is fully passed, change the story status to `Review`.
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## 5. Memory Synthesis & Validation
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[[LLM: This is the final, mandatory step. It now includes a holistic analysis of the entire Dev Notes section to capture all potential knowledge.]]
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1. **Enact Synthesizer Persona**: Announce "Finalizing work. Switching to Memory Synthesizer persona to distill and validate learnings from all notes."
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2. **Comprehensive Knowledge Extraction (Two-Pass Analysis)**:
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[[LLM: First, extract high-confidence, explicit lessons. Then, perform a broader scan for implicit knowledge.]]
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- **Pass 1: Explicit Lessons**: Parse the `Dev Notes` section for all `Internal Review Summary` blocks. Extract the "Lessons Learned," "Final Solution," and "Failed Attempts" content. These are your high-priority, explicit memories.
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- **Pass 2: Implicit Lessons**: Read the *entire* `Dev Notes` section again (including `Completion Notes`, `Debug Log References`, and `Change Log`). Use LLM intelligence to identify potential patterns or learnings that were not part of a formal review. Look for:
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- Unexpected workarounds or solutions.
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- Reasons for deviating from the original plan.
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- Notes about dependency versions or compatibility issues.
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- Discoveries of project-specific conventions or "gotchas".
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- *Prompt Guidance: "Based on these notes, what would a senior developer tell a new team member to watch out for in this codebase?"*
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3. **Synthesize and Deduplicate**:
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- Generalize all extracted lessons (from both passes) into a preliminary list of `new_memories_to_process`.
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- **Deduplicate this list**: If an implicit lesson from Pass 2 is a rephrasing of an explicit lesson from Pass 1, discard the implicit one and keep the more detailed, explicit version.
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4. **Load Existing Memory Context**:
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[[LLM: Perform this file read *once* before the validation loop.]]
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- Read the entire contents of `docs/project-memory.md` into a temporary context variable, `existing_memories`. If the file doesn't exist, this variable will be empty.
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5. **Reconcile Memories (In-Memory Loop)**:
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[[LLM: Initialize an empty list called `finalized_memories` and a list called `conflicts_to_log`. Now, for each unique `new_memory` in the deduplicated list, perform the validation against the loaded `existing_memories` context.]]
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- **Check for Conflicts**:
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- **Direct Contradiction:** Does the `new_memory` directly contradict a memory in `existing_memories`?
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- **Superseding Pattern:** Does the `new_memory` replace an older pattern?
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- **Redundancy:** Is the `new_memory` a rephrasing of an existing memory?
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- **Process Validation Result**:
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- **If a Direct Contradiction is found**: Add a warning to the `conflicts_to_log` list.
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- **If a Superseding Pattern is found**: Mark the older memory in `existing_memories` for deprecation and add the `new_memory` to `finalized_memories`.
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- **If Redundant**: Do nothing.
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- **If No Conflict (Clear)**: Add the `new_memory` to `finalized_memories`.
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6. **Commit Changes to File**:
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[[LLM: After the loop is complete, perform the file write operations.]]
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- If the `finalized_memories` list is not empty or if any existing memories were marked for deprecation:
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- Modify the `existing_memories` context in-memory (deprecating old entries, adding new ones from `finalized_memories`).
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- Update the "Last Synthesized" timestamp.
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- Write the entire, updated memory context back to `docs/project-memory.md`, overwriting the file.
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- If the `conflicts_to_log` list is not empty:
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- Append each conflict as a high-priority warning to the current story's `Dev Notes`:
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> `**MEMORY CONFLICT DETECTED:** The lesson "[new lesson]" from this story contradicts the existing memory "[conflicting memory]" from Story [source]. Human review is required to resolve this inconsistency.`
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7. **Conclude**: Announce "Memory synthesis and validation complete. Story is finalized and ready for review."
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@ -11,9 +11,11 @@ installation-options:
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agent-dependencies:
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core-files:
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- bmad-core/utils/template-format.md
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- bmad-core/data/bmad-project-memory.md
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dev:
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- bmad-core/templates/story-tmpl.md
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- bmad-core/checklists/story-dod-checklist.md
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- bmad-core/data/bmad-project-memory.md
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pm:
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- bmad-core/templates/prd-tmpl.md
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- bmad-core/templates/brownfield-prd-tmpl.md
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@ -49,6 +51,7 @@ agent-dependencies:
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- bmad-core/templates/*.md
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- bmad-core/tasks/*.md
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- bmad-core/schemas/*.yml
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- bmad-core/data/*.md
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bmad-orchestrator:
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- bmad-core/agent-teams/*.yml
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- bmad-core/workflows/*.yml
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