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AI-Ready Flutter template with built-in DB console, API inspector, state viewer, log viewer, and AI debug snapshots. Build observable apps that AI can debug with full context.

Changelog #

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

0.2.0 - 2026-04-17 #

Added — "Diagnose with AI" (the killer moment) #

  • New src/ai/ module wiring a bring-your-own-key LLM call directly into the snapshot preview:
    • FFAiProvider enum — anthropic (Claude Messages API) + openai (Chat Completions, also works with Azure OpenAI / Ollama proxies via the baseUrl override).
    • FFAiConfig — immutable config with effectiveModel / effectiveBaseUrl fallbacks. toJsonSansKey() guarantees the API key is never serialised alongside snapshots.
    • FFAiClient.forConfig(config) factory dispatching to the right provider implementation; tests inject a mock Dio.
    • FFAnthropicClient + FFOpenAiClient — concrete impls, both handle non-2xx responses as FFAiException (with status code + raw provider body for easier debugging).
    • FFAiSettingsStoreSharedPreferences-backed persistence under the flutterforge.ai.* namespace.
    • FFAiPrompt — opinionated system prompt + user-prompt builder that embeds the snapshot JSON and the problem statement.
  • New UI:
    • AiSettingsScreen — provider picker, key/model/base-URL inputs, show/hide toggle, clear-key action.
    • DiagnoseResultScreen — fires the diagnosis, shows a spinner, renders the response as selectable text with FFAiResponse metadata chips (provider, model, token counts, finish reason), retry button, settings shortcut.
    • Snapshot preview screen now has a "Diagnose with AI" primary button (plus a settings gear in the app bar); the old "Copy AI prompt" stays as a secondary action so the manual workflow remains available.
  • Tests: FFAiConfig behaviour, FFAnthropicClient happy path + auth-error path (mocked Dio), FFAiProviderX defaults.

Changed #

  • Version bumped 0.1.20.2.0 (new public API surface).
  • Barrel re-exports the new ai/ modules and the two new screens.

0.1.2 - 2026-04-17 #

Added #

  • FlutterForgeAI.generateSnapshot(problem: '…') — thin top-level facade over FFSnapshotGenerator.generate(...). Both continue to work; prefer the facade at call sites that already reference FlutterForgeAI.

Changed #

  • README: new "What's actually in the box" capability table right after the 30-second workflow, so reviewers can see the shipped feature set (DevDashboard / snapshot / interceptor / masking / etc.) without scrolling. Roadmap section rewritten with an honest shipped/next split — CLI marked ✅, cloud parked, "Diagnose with AI" flagged as the real next move.
  • ECOSYSTEM.md: status table now labels the VS Code extension as v0.2 in-repo (not just a scaffold), the CLI with its current limits, and the cloud as "parked post-v1".

0.1.1 - 2026-04-17 #

Changed #

  • Docs: README rewritten with sharper one-line positioning, a 30-second workflow diagram, a comparison table vs Alice / Talker / pretty_dio_logger, explicit dependency vs dev_dependency guidance, and a screenshot slot reference list.
  • Docs: Added doc/WORKFLOW.md — step-by-step recording script and asset-layout guide for the doc/images/ screenshots + hero GIF.
  • Version bumped so the published pub.dev page picks up the new README.

Fixed #

  • FFSensitiveDataMasker.maskUrlUri.replace URL-encodes the *** mask as %2A%2A%2A; the masker now decodes it back so the devtools UI shows token=*** instead of token=%2A%2A%2A.

0.1.0 - 2026-04-17 #

Added #

  • Database console with table browser, row viewer, and raw SQL runner via FFDbHelper.
  • Optional sqflite_dev web workbench enabler (no-ops if the dev package is absent).
  • In-app API Inspector (FFApiStore) powered by a Dio interceptor with cURL export.
  • Riverpod state viewer (FFStateObserver) tracking provider adds, updates, disposals, and failures.
  • Log viewer (FFLogger + FFLogStore) with level filtering, search, and full stack traces.
  • AI Debug Snapshot generator (FFSnapshotGenerator) capturing DB schema, API calls, state, logs, device, and app info as structured JSON for pasting to AI assistants.
  • Clipboard / share / save-to-file actions for snapshots.
  • Floating access buttons (DevTools FAB + AI FAB), draggable bubble overlay, shake-to-open (mobile), and Alt+F12 keyboard shortcut (desktop).
  • Automatic sensitive-data masking for headers, body keys, and URL query params.
  • Release-mode safety: every devtool, snapshot generator, and trigger is automatically disabled when kReleaseMode is true.
  • Cross-platform support: Android, iOS, macOS, Windows, Linux, Web.
  • 80%+ unit-test coverage across ring buffer, masker, logger, API interceptor, snapshot generator, and prompt formatter.
  • Fully working example app demonstrating CRUD, real HTTP calls, Riverpod state, error capture, and snapshot generation.
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AI-Ready Flutter template with built-in DB console, API inspector, state viewer, log viewer, and AI debug snapshots. Build observable apps that AI can debug with full context.

Repository (GitHub)
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Topics

#debugging #devtools #ai #inspector #logging

License

MIT (license)

Dependencies

device_info_plus, dio, flutter, flutter_dotenv, flutter_riverpod, logger, package_info_plus, path, pretty_dio_logger, sensors_plus, share_plus, shared_preferences, sqflite

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