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AutoAppDev 🚀

Python Backend Frontend Database Status i18n Pipeline Docs Automation API State Machine Control Flow GitHub stars GitHub forks GitHub issues


Reusable scripts + guides for building apps step-by-step from screenshots/markdown with Codex as a non-interactive tool.

🎯 Mission: Make app-development pipelines deterministic, resumable, and artifact-driven.

🧩 Design principle: Plan -> Work -> Verify -> Summary -> Commit/Push.


🎛️ Project Signals

Signal Current Direction
Runtime model Tornado backend + static PWA controller
Pipeline execution Deterministic and resumable (start/pause/resume/stop)
Persistence strategy PostgreSQL-first with compatibility fallback behavior
Documentation flow Canonical root README + automated i18n/ variants

🔗 Quick Navigation

Need Go to
First local run ⚡ Quick Start
Env and required variables ⚙️ Configuration
API surface 📡 API Snapshot
Runtime/debug playbooks 🧭 Operational Runbooks
README/i18n generation rules 🌐 README & i18n Workflow
Troubleshooting matrix 🔧 Troubleshooting

Self-Dev Status (Auto-Updated)

  • Updated: 2026-02-16T00:27:20Z
  • Phase commit: Selfdev: 52 pwa_action_palette_dynamic_and_editable_blocks summary
  • Progress: 51 / 55 tasks done
  • Codex session: 019c6056-f33a-7f31-b08f-0ca40c365351
  • Philosophy: Plan -> Work -> Verify -> Summary -> Commit/Push (linear, resumable)

This section is updated by scripts/auto-autoappdev-development.sh. Do not edit content between the markers.

🗂️ Table of Contents

🧭 Repository Snapshot

Focus Current setup
Core loop Plan → Work → Debug → Fix → Summary → Commit/Push
Runtime model Tornado backend + static PWA controller
State machine start / pause / resume / stop
Persistence PostgreSQL-first with JSON fallback compatibility
Documentation Canonical README.md plus multilingual i18n/ outputs

🚀 Overview

AutoAppDev is a controller project for long-running, resumable app-development pipelines. It combines:

  1. A Tornado backend API with PostgreSQL-backed persistence (plus local JSON fallback behavior in storage code).
  2. A Scratch-like static PWA controller UI.
  3. Scripts and docs for pipeline authoring, deterministic code generation, self-development loops, and README automation.

The project is optimized for predictable agent execution with strict sequencing and artifact-oriented workflow history.

🎨 Why this repo exists

Theme What it means in practice
Determinism Canonical pipeline IR + parser/import/codegen workflows designed for repeatability
Resumability Explicit lifecycle state machine (start/pause/resume/stop) for long-running runs
Operability Runtime logs, inbox/outbox channels, and script-driven verification loops
Documentation-first Contracts/specs/examples live in docs/, with automated multilingual README flow

🧭 Philosophy

AutoAppDev treats agents as tools and keeps work stable via a strict, resumable loop:

  1. Plan
  2. Implement
  3. Debug/verify (with timeouts)
  4. Fix
  5. Summarize + log
  6. Commit + push

The controller app aims to embody the same concepts as Scratch-like blocks/actions (including a common update_readme action) so each workspace stays current and reproducible.

🔁 Lifecycle state intent

State transition Operational intent
start Begin a pipeline from stopped/ready state
pause Halt long-running execution safely without losing context
resume Continue from saved runtime state/artifacts
stop End execution and return to a non-running state

✨ Features

  • Resumable pipeline lifecycle control: start, pause, resume, stop.
  • Script library APIs for AAPS pipeline scripts (.aaps) and canonical IR (autoappdev_ir v1).
  • Deterministic parser/import pipeline:
    • Parse formatted AAPS scripts.
    • Import annotated shell via # AAPS: comments.
    • Optional Codex-assisted parse fallback (AUTOAPPDEV_ENABLE_LLM_PARSE=1).
  • Action registry with built-ins + editable/custom actions (clone/edit flow for readonly built-ins).
  • Scratch-like PWA blocks and runtime-loaded action palette (GET /api/actions).
  • Runtime messaging channels:
    • Inbox (/api/inbox) for operator -> pipeline guidance.
    • Outbox (/api/outbox) including file-queue ingestion from runtime/outbox.
  • Incremental log streaming from backend and pipeline logs (/api/logs, /api/logs/tail).
  • Deterministic runner codegen from canonical IR (scripts/pipeline_codegen/generate_runner_from_ir.py).
  • Self-dev driver for iterative repository evolution (scripts/auto-autoappdev-development.sh).
  • README automation pipeline with multilingual generation scaffolding under i18n/.

📌 At A Glance

Area Details
Core runtime Tornado backend + static PWA frontend
Persistence PostgreSQL-first with compatibility behavior in backend/storage.py
Pipeline model Canonical IR (autoappdev_ir v1) and AAPS script format
Control flow Start / Pause / Resume / Stop lifecycle
Dev mode Resumable self-dev loop + deterministic script/codegen workflows
README/i18n Automated README pipeline with i18n/ scaffolding

🏗️ Architecture

Operator / Developer
        |
        v
   PWA (static files, pwa/)
        |
        | HTTP JSON API
        v
Tornado backend (backend/app.py)
        |
        +--> Postgres (DATABASE_URL)
        +--> runtime/ (logs, outbox, llm_parse artifacts)
        +--> scripts/ (pipeline runner + codegen helpers)

Backend responsibilities

  • Expose controller APIs for scripts, actions, plan, pipeline lifecycle, logs, inbox/outbox, workspace config.
  • Validate and persist pipeline script assets.
  • Coordinate pipeline execution state and status transitions.
  • Provide deterministic fallback behavior when DB pool is unavailable.

Frontend responsibilities

  • Render Scratch-like block UI and pipeline editing flow.
  • Load action palette dynamically from backend registry.
  • Drive lifecycle controls and monitor status/logs/messages.

📚 Contents

Reference map for the most commonly used docs, scripts, and examples:

  • docs/auto-development-guide.md: Bilingual (EN/ZH) philosophy and requirements for a long-running, resumable auto-development agent.
  • docs/ORDERING_RATIONALE.md: Example rationale for sequencing screenshot-driven steps.
  • docs/controller-mvp-scope.md: Controller MVP scope (screens + minimal APIs).
  • docs/end-to-end-demo-checklist.md: Deterministic manual end-to-end demo checklist (backend + PWA happy path).
  • docs/env.md: Environment variables (.env) conventions.
  • docs/api-contracts.md: API request/response contracts for the controller.
  • docs/pipeline-formatted-script-spec.md: Standard pipeline script format (AAPS) and canonical IR schema (TASK -> STEP -> ACTION).
  • docs/pipeline-runner-codegen.md: Deterministic generator for runnable bash pipeline runners from canonical IR.
  • docs/common-actions.md: Common action contracts/specs (includes update_readme).
  • docs/workspace-layout.md: Standard workspace folders + contracts (materials/interactions/outputs/docs/references/scripts/tools/logs/auto-apps).
  • scripts/run_autoappdev_tmux.sh: Start the AutoAppDev app (backend + PWA) in tmux.
  • scripts/run_autoappdev_selfdev_tmux.sh: Start the AutoAppDev self-dev driver in tmux.
  • scripts/app-auto-development.sh: Linear pipeline driver (plan -> backend -> PWA -> Android -> iOS -> review -> summary) with resume/state support.
  • scripts/generate_screenshot_docs.sh: Screenshot -> markdown description generator (Codex-driven).
  • scripts/setup_autoappdev_env.sh: Main conda env bootstrap script for local runs.
  • scripts/setup_backend_env.sh: Backend env helper script.
  • examples/ralph-wiggum-example.sh: Example Codex CLI automation helper.

🗂️ Project Structure

AutoAppDev/
├── README.md
├── .env.example
├── .github/
│   └── FUNDING.yml
├── backend/
│   ├── app.py
│   ├── storage.py
│   ├── schema.sql
│   ├── apply_schema.py
│   ├── db_smoketest.py
│   ├── action_registry.py
│   ├── builtin_actions.py
│   ├── update_readme_action.py
│   ├── pipeline_parser.py
│   ├── pipeline_shell_import.py
│   ├── llm_assisted_parse.py
│   ├── workspace_config.py
│   ├── requirements.txt
│   └── README.md
├── pwa/
│   ├── index.html
│   ├── app.js
│   ├── i18n.js
│   ├── api-client.js
│   ├── styles.css
│   ├── service-worker.js
│   ├── manifest.json
│   └── README.md
├── docs/
├── scripts/
│   └── pipeline_codegen/
├── prompt_tools/
├── examples/
├── references/
├── i18n/
└── .auto-readme-work/

✅ Prerequisites

  • OS with bash.
  • Python 3.11+.
  • Conda (conda) for the provided setup scripts.
  • tmux for one-command backend+PWA or self-dev sessions.
  • PostgreSQL reachable by DATABASE_URL.
  • Optional: codex CLI for Codex-powered flows (self-dev, parse-llm fallback, auto-readme pipeline).

Quick requirement matrix:

Component Required Purpose
bash Yes Script execution
Python 3.11+ Yes Backend + codegen tooling
Conda Yes (recommended flow) Environment bootstrap scripts
PostgreSQL Yes (preferred mode) Primary persistence via DATABASE_URL
tmux Recommended Managed backend/PWA and self-dev sessions
codex CLI Optional LLM-assisted parse and README/self-dev automation

🧩 Compatibility & Assumptions

Topic Current expectation
Local OS Linux/macOS shells are the primary target (bash scripts)
Python runtime 3.11 (managed by scripts/setup_autoappdev_env.sh)
Persistence mode PostgreSQL is preferred and treated as canonical
Fallback behavior backend/storage.py includes JSON compatibility fallback for degraded scenarios
Network model Localhost split-port development (backend + static PWA)
Agent tooling codex CLI is optional unless using LLM-assisted parse or self-dev automation

Assumptions used in this README:

  • You run commands from repository root unless a section says otherwise.
  • .env is configured before starting backend services.
  • conda and tmux are available for the recommended one-command workflows.

🛠️ Installation

1) Clone and enter repo

git clone [email protected]:lachlanchen/AutoAppDev.git
cd AutoAppDev

2) Configure environment

cp .env.example .env

Edit .env and set at least:

  • SECRET_KEY
  • DATABASE_URL
  • AUTOAPPDEV_HOST and AUTOAPPDEV_PORT (or PORT)

3) Create/update backend environment

./scripts/setup_autoappdev_env.sh

4) Apply database schema

conda run -n autoappdev python -m backend.apply_schema

5) Optional: database smoke test

conda run -n autoappdev python -m backend.db_smoketest

⚡ Quick Start

# from repo root
cp .env.example .env
./scripts/setup_autoappdev_env.sh
conda run -n autoappdev python -m backend.apply_schema
./scripts/run_autoappdev_tmux.sh --restart

Then open:

  • PWA: http://127.0.0.1:5173/
  • Backend API base: http://127.0.0.1:8788
  • Health check: http://127.0.0.1:8788/api/health

Smoke-check with one command:

curl -sS http://127.0.0.1:8788/api/health | python3 -m json.tool

Quick endpoint map:

Surface URL
PWA UI http://127.0.0.1:5173/
Backend API http://127.0.0.1:8788
Health endpoint http://127.0.0.1:8788/api/health

⚙️ Configuration

Primary file: .env (see docs/env.md and .env.example).

Important variables

Variable Purpose
SECRET_KEY Required by convention
AUTOAPPDEV_HOST, AUTOAPPDEV_PORT, PORT Backend bind settings
DATABASE_URL PostgreSQL DSN (preferred)
AUTOAPPDEV_RUNTIME_DIR Override runtime dir (default ./runtime)
AUTOAPPDEV_PIPELINE_CWD, AUTOAPPDEV_PIPELINE_SCRIPT Default pipeline run target
AUTOAPPDEV_ENABLE_LLM_PARSE=1 Enable /api/scripts/parse-llm
AUTOAPPDEV_CODEX_MODEL, AUTOAPPDEV_CODEX_REASONING, AUTOAPPDEV_CODEX_SKIP_GIT_CHECK Codex defaults for actions/endpoints
AI_API_BASE_URL, AI_API_KEY Reserved for future integrations

Validate .env quickly:

bash -lc 'set -euo pipefail; test -f .env; set -a; source .env; set +a; \
python3 - <<"PY"\
import os, sys\
req = ["SECRET_KEY", "DATABASE_URL"]\
missing = [k for k in req if not os.getenv(k)]\
port_ok = bool(os.getenv("AUTOAPPDEV_PORT") or os.getenv("PORT"))\
if not port_ok: missing.append("AUTOAPPDEV_PORT or PORT")\
if missing:\
  print("Missing env:", ", ".join(missing))\
  sys.exit(1)\
print("OK: env looks set")\
PY'

▶️ Usage

Mode Command Notes
Start backend + PWA (recommended) ./scripts/run_autoappdev_tmux.sh --restart Backend http://127.0.0.1:8788, PWA http://127.0.0.1:5173/
Start backend only conda run -n autoappdev python -m backend.app Uses .env bind + DB settings
Start PWA static server only cd pwa && python3 -m http.server 5173 --bind 127.0.0.1 Useful for frontend-only checks
Run self-dev driver in tmux ./scripts/run_autoappdev_selfdev_tmux.sh --restart Resumable self-development loop

Common script options

  • ./scripts/run_autoappdev_tmux.sh --help
  • ./scripts/run_autoappdev_tmux.sh --backend-port 8790 --pwa-port 5174
  • ./scripts/run_autoappdev_tmux.sh --detached
  • ./scripts/run_autoappdev_selfdev_tmux.sh --help
  • ./scripts/run_autoappdev_selfdev_tmux.sh --start-at 14 --reasoning xhigh

Parse and store scripts

  • Parse AAPS via API: POST /api/scripts/parse
  • Import annotated shell: POST /api/scripts/import-shell
  • Optional LLM parse: POST /api/scripts/parse-llm (requires AUTOAPPDEV_ENABLE_LLM_PARSE=1)

Pipeline control APIs

  • GET /api/pipeline
  • GET /api/pipeline/status
  • POST /api/pipeline/start
  • POST /api/pipeline/pause
  • POST /api/pipeline/resume
  • POST /api/pipeline/stop

Other frequently used APIs

  • Health/version/config: /api/health, /api/version, /api/config
  • Plan/scripts: /api/plan, /api/scripts, /api/scripts/<id>
  • Actions: /api/actions, /api/actions/<id>, /api/actions/<id>/clone, /api/actions/update-readme
  • Messaging: /api/chat, /api/inbox, /api/outbox
  • Logs: /api/logs, /api/logs/tail

See docs/api-contracts.md for request/response shapes.

🧭 Operational Runbooks

Runbook: bring up the full local stack

cp .env.example .env
./scripts/setup_autoappdev_env.sh
conda run -n autoappdev python -m backend.apply_schema
./scripts/run_autoappdev_tmux.sh --restart

Validation checkpoints:

  • curl -sS http://127.0.0.1:8788/api/health | python3 -m json.tool
  • Open http://127.0.0.1:5173/ and confirm the UI can load /api/config.
  • Optional: open /api/version and verify expected backend metadata is returned.

Runbook: backend-only debugging

conda run -n autoappdev python -m backend.app
curl -sS http://127.0.0.1:8788/api/version
curl -sS http://127.0.0.1:8788/api/pipeline/status | python3 -m json.tool

Runbook: deterministic codegen smoke

python3 scripts/pipeline_codegen/generate_runner_from_ir.py \
  --in examples/pipeline_ir_codegen_demo_v0.json \
  --out /tmp/autoappdev_runner.sh

bash -n /tmp/autoappdev_runner.sh
scripts/pipeline_codegen/smoke_codegen.sh
scripts/pipeline_codegen/smoke_placeholders.sh
scripts/pipeline_codegen/smoke_conditional_steps.sh
scripts/pipeline_codegen/smoke_meta_round_v0.sh

📡 API Snapshot

Core API groups at a glance:

Category Endpoints
Health + runtime info GET /api/health, GET /api/version, GET /api/config, POST /api/config
Plan model GET /api/plan, POST /api/plan
Scripts GET/POST /api/scripts, GET/PUT/DELETE /api/scripts/<id>, POST /api/scripts/parse, POST /api/scripts/import-shell, POST /api/scripts/parse-llm
Action registry GET/POST /api/actions, GET/PUT/DELETE /api/actions/<id>, POST /api/actions/<id>/clone, POST /api/actions/update-readme
Pipeline runtime GET /api/pipeline, GET /api/pipeline/status, POST /api/pipeline/start, POST /api/pipeline/pause, POST /api/pipeline/resume, POST /api/pipeline/stop
Messaging + logs GET/POST /api/chat, GET/POST /api/inbox, GET/POST /api/outbox, GET/POST /api/logs, GET /api/logs/tail
Workspace settings GET/POST /api/workspaces/<name>/config

🧪 Examples

AAPS example

AUTOAPPDEV_PIPELINE 1

TASK  {"id":"t1","title":"Happy path demo"}
STEP  {"id":"s1","title":"Plan","block":"plan"}
ACTION {"id":"a1","kind":"note","params":{"text":"Read context and outline steps."}}

Full examples:

  • examples/pipeline_formatted_script_v1.aaps
  • examples/pipeline_ir_v1.json
  • examples/pipeline_shell_annotated_v0.sh
  • examples/pipeline_ir_codegen_demo_v0.json

Deterministic runner generation

python3 scripts/pipeline_codegen/generate_runner_from_ir.py \
  --in examples/pipeline_ir_codegen_demo_v0.json \
  --out /tmp/autoappdev_runner.sh

bash -n /tmp/autoappdev_runner.sh
scripts/pipeline_codegen/smoke_codegen.sh

Deterministic demo pipeline

export AUTOAPPDEV_PIPELINE_SCRIPT=scripts/pipeline_demo.sh
conda run -n autoappdev python -m backend.app

Then use the PWA Start/Pause/Resume/Stop controls and inspect /api/logs.

Import from annotated shell

curl -sS -X POST http://127.0.0.1:8788/api/scripts/import-shell \
  -H 'Content-Type: application/json' \
  -d @- <<'JSON'
{
  "shell_text": "#!/usr/bin/env bash\n# AAPS: AUTOAPPDEV_PIPELINE 1\n# AAPS:\n# AAPS: TASK {\"id\":\"t1\",\"title\":\"Demo\"}\n# AAPS: STEP {\"id\":\"s1\",\"title\":\"Plan\",\"block\":\"plan\"}\n# AAPS: ACTION {\"id\":\"a1\",\"kind\":\"noop\"}\n"
}
JSON

🧱 Development Notes

  • The backend is Tornado-based and designed for local dev ergonomics (including permissive CORS for localhost split ports).
  • Storage is PostgreSQL-first with compatibility behavior in backend/storage.py.
  • PWA block keys and script STEP.block values are intentionally aligned (plan, work, debug, fix, summary, commit_push).
  • Built-in actions are readonly; clone before editing.
  • update_readme action is path-safety constrained to workspace README targets under auto-apps/<workspace>/README.md.
  • There are historical path/name references in some docs/scripts (HeyCyan, LightMind) inherited from project evolution. Current repo canonical path is this repository root.
  • The root i18n/ directory exists. Language README files are expected there in multilingual runs.

Working model and state files

  • Runtime defaults to ./runtime unless overridden by AUTOAPPDEV_RUNTIME_DIR.
  • Self-dev automation state/history is tracked under references/selfdev/.
  • README pipeline artifacts are recorded under .auto-readme-work/<timestamp>/.

Testing posture (current)

  • Repository includes smoke checks and deterministic demo scripts.
  • A full top-level automated test suite/CI manifest is not currently defined in root metadata.
  • Assumption: validation is primarily script-driven for now (scripts/pipeline_codegen/smoke_*.sh, backend.db_smoketest, end-to-end checklist).

🔐 Safety Notes

  • update_readme action is intentionally constrained to workspace README targets (auto-apps/<workspace>/README.md) with path traversal protections.
  • Action registry validation enforces normalized action spec fields and bounded values for supported reasoning levels.
  • Repository scripts assume trusted local execution; review script bodies before running in shared or production-adjacent environments.
  • .env may hold sensitive values (DATABASE_URL, API keys). Keep .env uncommitted and use environment-specific secret management outside local dev.

🔧 Troubleshooting

Symptom What to check
tmux not found Install tmux or run backend/PWA manually.
Backend fails on startup due to missing env Recheck .env against .env.example and docs/env.md.
Database errors (connection/auth/schema) Verify DATABASE_URL; re-run conda run -n autoappdev python -m backend.apply_schema; optional connectivity check: conda run -n autoappdev python -m backend.db_smoketest.
PWA loads but cannot call API Ensure backend is listening on expected host/port; regenerate pwa/config.local.js by re-running ./scripts/run_autoappdev_tmux.sh.
Pipeline Start returns invalid transition Check current pipeline status first; start from stopped state.
No log updates in UI Confirm runtime/logs/pipeline.log is being written; use /api/logs and /api/logs/tail directly to isolate UI vs backend issues.
LLM parse endpoint returns disabled Set AUTOAPPDEV_ENABLE_LLM_PARSE=1 and restart backend.
conda run -n autoappdev ... fails Re-run ./scripts/setup_autoappdev_env.sh; confirm conda env autoappdev exists (conda env list).
Wrong API target in frontend Confirm pwa/config.local.js exists and points to active backend host/port.

For a deterministic manual verification path, use docs/end-to-end-demo-checklist.md.

🌐 README & i18n Workflow

  • Root README is the canonical source used by the README automation pipeline.
  • Multilingual variants are expected under i18n/.
  • i18n directory status: ✅ present in this repository.
  • Current language set in this repository:
    • i18n/README.ar.md
    • i18n/README.de.md
    • i18n/README.es.md
    • i18n/README.fr.md
    • i18n/README.ja.md
    • i18n/README.ko.md
    • i18n/README.ru.md
    • i18n/README.vi.md
    • i18n/README.zh-Hans.md
    • i18n/README.zh-Hant.md
  • Language navigation should stay as a single line at the top of each README variant (no duplicated language bars).
  • README pipeline entrypoint: prompt_tools/auto-readme-pipeline.sh.

i18n generation constraints (strict)

  • Always process multilingual generation when updating canonical README content.
  • Generate/update language files one-by-one (sequentially), not in bulk ambiguous batches.
  • Keep exactly one language-options navigation line at the top of each variant.
  • Do not duplicate language bars within the same file.
  • Preserve canonical command snippets, links, API paths, and badge intent across translations.

Suggested one-by-one generation order:

  1. i18n/README.ar.md
  2. i18n/README.de.md
  3. i18n/README.es.md
  4. i18n/README.fr.md
  5. i18n/README.ja.md
  6. i18n/README.ko.md
  7. i18n/README.ru.md
  8. i18n/README.vi.md
  9. i18n/README.zh-Hans.md
  10. i18n/README.zh-Hant.md

Language coverage table:

Language File
Arabic i18n/README.ar.md

Observed workspace note:

  • i18n/README.zh-Hant.md.tmp may appear as a temporary translation artifact; keep final canonical files as README.<lang>.md.

📘 Readme Generation Context

  • Pipeline run timestamp: 20260301_095119
  • Trigger: ./README.md first complete draft generation (canonical-base incremental update)
  • Input user prompt: Use current README as canonical base. No reduction: only increment and improve. Preserve existing content, links, badges, commands, and details. Always process multilingual generation (do not skip): ensure i18n exists and generate/update language files one-by-one with a single language-options line at the top and no duplicates.
  • Goal: generate a complete, beautiful README draft with required sections and support information
  • Source snapshot used:
    • ./.auto-readme-work/20260301_095119/pipeline-context.md
    • ./.auto-readme-work/20260301_095119/repo-structure-analysis.md
  • This file was generated from repository contents and preserved as a canonical draft entry point.

❓ FAQ

Is PostgreSQL mandatory?

Preferred and expected for normal operation. The storage layer contains fallback compatibility behavior, but production-like usage should assume PostgreSQL is available via DATABASE_URL.

Why both AUTOAPPDEV_PORT and PORT?

AUTOAPPDEV_PORT is project-specific. PORT exists as a deployment-friendly alias. Keep them aligned unless you intentionally override behavior in your launch path.

Where should I start if I only want to inspect APIs?

Run backend-only (conda run -n autoappdev python -m backend.app) and use /api/health, /api/version, /api/config, then script/action endpoints listed in docs/api-contracts.md.

Are multilingual READMEs generated automatically?

Yes. The repository includes prompt_tools/auto-readme-pipeline.sh, and language variants are maintained under i18n/ with one language-navigation line at the top of each variant.

🗺️ Roadmap

  • Complete remaining self-dev tasks beyond current 51 / 55 status.
  • Expand workspace/materials/context tooling and stronger safe-path contracts.
  • Continue improving action palette UX and editable action workflows.
  • Deepen multilingual README/UI support across i18n/ and runtime language switching.
  • Strengthen smoke/integration checks and CI coverage (currently script-driven smoke checks are present; no full CI manifest is documented at root).
  • Continue hardening parser/import/codegen determinism around AAPS v1 and canonical IR.

🤝 Contributing

Contributions are welcome via issues and pull requests.

Suggested workflow:

  1. Fork and create a feature branch.
  2. Keep changes focused and reproducible.
  3. Prefer deterministic scripts/tests where possible.
  4. Update docs when behavior/contracts change (docs/*, API contracts, examples).
  5. Open a PR with context, validation steps, and any runtime assumptions.

Repository remotes currently include:

  • origin: [email protected]:lachlanchen/AutoAppDev.git
  • Additional remotes may be present in local clones for related repositories (example found in this workspace: novel).

❤️ Support

Donate PayPal Stripe
Donate PayPal Stripe

📄 License

License

No root LICENSE file was detected in this repository snapshot.

Assumption note:

  • Until a license file is added, treat usage/redistribution terms as unspecified and confirm with the maintainer.

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