Files
storkit/.living_spec
Dave bb700ce870 feat: Backend cancellation support for interrupting model responses
Merged from feature/interrupt-on-type branch.

Backend cancellation infrastructure:
- Added tokio watch channel to SessionState for cancellation signaling
- Implemented cancel_chat command
- Modified chat command to use tokio::select! for racing requests vs cancellation
- When cancelled, HTTP request to Ollama is dropped and returns early
- Added tokio dependency with sync feature

Story updates:
- Story 13: Updated to use Stop button pattern (industry standard)
- Story 18: Created placeholder for streaming responses
- Stories 15-17: Placeholders for future features

Frontend changes:
- Removed auto-interrupt on typing behavior (too confusing)
- Backend infrastructure ready for Stop button implementation

Note: Story 13 UI (Stop button) not yet implemented - backend ready
2025-12-27 15:36:58 +00:00
..

The Story-Driven Spec Workflow (SDSW)

Target Audience: Large Language Models (LLMs) acting as Senior Engineers. Goal: To maintain long-term project coherence, prevent context window exhaustion, and ensure high-quality, testable code generation in large software projects.


1. The Philosophy

We treat the codebase as the implementation of a "Living Specification." Instead of ephemeral chat prompts ("Fix this", "Add that"), we work through persistent artifacts.

  • Stories define the Change.
  • Specs define the Truth.
  • Code defines the Reality.

The Golden Rule: You are not allowed to write code until the Spec reflects the new reality requested by the Story.


2. Directory Structure

When initializing a new project under this workflow, create the following structure immediately:

project_root/
  .living_spec
  |-- README.md          # This document
  ├── stories/           # The "Inbox" of feature requests.
  ├── specs/             # The "Brain" of the project.
  │   ├── README.md      # Explains this workflow to future sessions.
  │   ├── 00_CONTEXT.md  # High-level goals, domain definition, and glossary.
  │   ├── tech/          # Implementation details (Stack, Architecture, Constraints).
  │   │   └── STACK.md   # The "Constitution" (Languages, Libs, Patterns).
  │   └── functional/    # Domain logic (Platform-agnostic behavior).
  │       ├── 01_CORE.md
  │       └── ...
└── src/               # The Code.

3. The Cycle (The "Loop")

When the user asks for a feature, follow this 4-step loop strictly:

Step 1: The Story (Ingest)

  • User Input: "I want the robot to dance."
  • Action: Create a file stories/XX_robot_dance.md.
  • Content:
    • User Story: "As a user, I want..."
    • Acceptance Criteria: Bullet points of observable success.
    • Out of scope: Things that are out of scope so that the LLM doesn't go crazy
  • Git: The Assistant initiates a new local feature branch (e.g., feature/story-name) immediately.

Step 2: The Spec (Digest)

  • Action: Update the files in specs/.
  • Logic:
    • Does specs/functional/LOCOMOTION.md exist? If no, create it.
    • Add the "Dance" state to the state machine definition in the spec.
    • Check specs/tech/STACK.md: Do we have an approved animation library? If no, propose adding one to the Stack or reject the feature.
  • Output: Show the user the diff of the Spec. Wait for approval.

Step 3: The Implementation (Code)

  • Action: Write the code to match the Spec (not just the Story).
  • Constraint: adhere strictly to specs/tech/STACK.md (e.g., if it says "No unwrap()", you must not use unwrap()).

Step 4: Verification (Close)

  • Action: Write a test case that maps directly to the Acceptance Criteria in the Story.
  • Action: Run compilation and make sure it succeeds without errors. Fix warnings if possible. Run tests and make sure they all pass before proceeding. Ask questions here if needed.
  • Action: Ask the user to accept the story. Wait for user acceptance.
  • Action: When the user accepts:
    1. Mark the acceptance criteria as complete (change [ ] to [x])
    2. Move the story file to stories/archive/ (e.g., mv stories/XX_story_name.md stories/archive/)
    3. Commit both changes to the feature branch
    4. Perform the squash merge: git merge --squash feature/story-name
    5. Commit to master with a comprehensive commit message
    6. Delete the feature branch: git branch -D feature/story-name
  • Important: Do NOT mark acceptance criteria as complete before user acceptance. Only mark them complete when the user explicitly accepts the story.

4. Context Reset Protocol

When the LLM context window fills up (or the chat gets slow/confused):

  1. Stop Coding.
  2. Instruction: Tell the user to open a new chat.
  3. Handoff: The only context the new LLM needs is in the specs/ folder.
    • Prompt for New Session: "I am working on Project X. Read specs/00_CONTEXT.md and specs/tech/STACK.md. Then look at stories/ to see what is pending."

5. Setup Instructions (For the LLM)

If a user hands you this document and says "Apply this process to my project":

  1. Analyze the Request: Ask for the high-level goal ("What are we building?") and the tech preferences ("Rust or Python?").
  2. Git Check: Check if the directory is a git repository (git status). If not, run git init.
  3. Scaffold: Run commands to create the specs/ and stories/ folders.
  4. Draft Context: Write specs/00_CONTEXT.md based on the user's answer.
  5. Draft Stack: Write specs/tech/STACK.md based on best practices for that language.
  6. Wait: Ask the user for "Story #1".