Vibecode Netflix
track this build5 steps, step by step0%You can absolutely build a Netflix, the software part is the easy part. A video catalog, transcoding pipeline, adaptive streaming player, watch progress, and profiles is a genuinely fun weekend of work, and self-hosted media servers already prove it. What you cannot build is the thing you were actually paying for: thousands of hours of licensed content plus originals you legally cannot obtain. A media server pointed at an empty disk is a very nice empty shelf. The honest DIY move is Jellyfin or a hand-rolled version of it over media you already own, which changes what the product is rather than replacing it.
You are building a lean indie version of Netflix. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # Netflix indie build ## Goal Build the smallest trustworthy replacement for the core Netflix workflow for one developer or a tiny team. ## Scope A self-hosted streaming site that scans a local media folder, pulls metadata and artwork, and plays it back in the browser with per-profile resume. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - The entire catalog: licensed films, TV, and originals you cannot legally acquire - Global CDN delivery that does not stutter on hotel wifi - Native apps on every TV, console, phone, and streaming stick - Downloads with DRM, offline playback, and multi-device sync that just works - Recommendations built on hundreds of millions of viewing histories If those capabilities are essential, use Netflix instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build a self-hosted personal media streaming server and web player. Single project, runs on my own machine, no accounts service, no cloud, no telemetry. Stack, no substitutions: - Node.js with TypeScript, Fastify for the API - SQLite via better-sqlite3 for the library database - React with Vite for the frontend, plain CSS, no component library - ffmpeg and ffprobe invoked as child processes - hls.js in the browser for playback What it does: 1. Reads MEDIA_ROOT from .env and recursively scans it for video files (mp4, mkv, avi, mov). Parses filenames into title, year, and optional season/episode. 2. Runs ffprobe on each file to record duration, resolution, codecs, and audio tracks. 3. Optionally enriches each title with metadata and poster art from the TMDB API using TMDB_API_KEY from .env. If the key is missing, skip enrichment gracefully and show a generated placeholder poster. 4. Serves a library browse UI: poster grid, search, filter by movie vs series, series drilldown to seasons and episodes. 5. Plays video at /watch/:id. If the source is browser-friendly h264/aac, stream it directly with HTTP range support. Otherwise transcode on the fly to HLS with ffmpeg, segmenting into a cache directory, and serve the playlist to hls.js. Reuse cached segments on repeat plays. 6. Tracks watch progress per profile. Local profiles are just names in SQLite, no passwords, no auth provider. Resume where you left off, mark watched at 90 percent, and show a Continue Watching row. 7. Extracts embedded subtitle tracks with ffmpeg, converts to WebVTT, and exposes them as selectable tracks in the player. 8. A CLI command "npm run scan" for rescanning, plus a watcher that picks up new files while running. Explicitly out of scope: any content acquisition, downloading, scraping, or DRM. No native mobile or TV apps. No recommendation engine beyond a recently-added row. No multi-user auth or public internet exposure; bind to localhost by default and document that exposing it is my problem. Deliver a README with setup steps, a .env.example listing MEDIA_ROOT, TMDB_API_KEY, PORT, and TRANSCODE_CACHE_DIR, and seed the database on first run. Keep the whole thing runnable with npm install then npm run dev. ## Required capabilities - Media files you actually have the right to store - A machine with disk space and enough CPU or a GPU for transcoding - ffmpeg installed - A metadata API key, for example TMDB - Bandwidth if you want to stream outside your own network ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a lean indie version of Netflix. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== README.md ===== # Netflix indie build ## Goal Build the smallest trustworthy replacement for the core Netflix workflow for one developer or a tiny team. ## Scope A self-hosted streaming site that scans a local media folder, pulls metadata and artwork, and plays it back in the browser with per-profile resume. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - The entire catalog: licensed films, TV, and originals you cannot legally acquire - Global CDN delivery that does not stutter on hotel wifi - Native apps on every TV, console, phone, and streaming stick - Downloads with DRM, offline playback, and multi-device sync that just works - Recommendations built on hundreds of millions of viewing histories If those capabilities are essential, use Netflix instead of pretending the gap is solved. ===== AGENTS.md ===== # Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs". ===== BUILD_PLAN.md ===== # Build plan ## Original build brief Build a self-hosted personal media streaming server and web player. Single project, runs on my own machine, no accounts service, no cloud, no telemetry. Stack, no substitutions: - Node.js with TypeScript, Fastify for the API - SQLite via better-sqlite3 for the library database - React with Vite for the frontend, plain CSS, no component library - ffmpeg and ffprobe invoked as child processes - hls.js in the browser for playback What it does: 1. Reads MEDIA_ROOT from .env and recursively scans it for video files (mp4, mkv, avi, mov). Parses filenames into title, year, and optional season/episode. 2. Runs ffprobe on each file to record duration, resolution, codecs, and audio tracks. 3. Optionally enriches each title with metadata and poster art from the TMDB API using TMDB_API_KEY from .env. If the key is missing, skip enrichment gracefully and show a generated placeholder poster. 4. Serves a library browse UI: poster grid, search, filter by movie vs series, series drilldown to seasons and episodes. 5. Plays video at /watch/:id. If the source is browser-friendly h264/aac, stream it directly with HTTP range support. Otherwise transcode on the fly to HLS with ffmpeg, segmenting into a cache directory, and serve the playlist to hls.js. Reuse cached segments on repeat plays. 6. Tracks watch progress per profile. Local profiles are just names in SQLite, no passwords, no auth provider. Resume where you left off, mark watched at 90 percent, and show a Continue Watching row. 7. Extracts embedded subtitle tracks with ffmpeg, converts to WebVTT, and exposes them as selectable tracks in the player. 8. A CLI command "npm run scan" for rescanning, plus a watcher that picks up new files while running. Explicitly out of scope: any content acquisition, downloading, scraping, or DRM. No native mobile or TV apps. No recommendation engine beyond a recently-added row. No multi-user auth or public internet exposure; bind to localhost by default and document that exposing it is my problem. Deliver a README with setup steps, a .env.example listing MEDIA_ROOT, TMDB_API_KEY, PORT, and TRANSCODE_CACHE_DIR, and seed the database on first run. Keep the whole thing runnable with npm install then npm run dev. ## Required capabilities - Media files you actually have the right to store - A machine with disk space and enough CPU or a GPU for transcoding - ffmpeg installed - A metadata API key, for example TMDB - Bandwidth if you want to stream outside your own network ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden. ===== .env.example ===== # Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
You are building a production product version of Netflix. Create the following project files first, then implement the application by following them. Keep the files updated as decisions change. Do not collapse this into a single README or prompt. ===== PRODUCT.md ===== # Netflix product brief ## Problem You can absolutely build a Netflix, the software part is the easy part. A video catalog, transcoding pipeline, adaptive streaming player, watch progress, and profiles is a genuinely fun weekend of work, and self-hosted media servers already prove it. What you cannot build is the thing you were actually paying for: thousands of hours of licensed content plus originals you legally cannot obtain. A media server pointed at an empty disk is a very nice empty shelf. The honest DIY move is Jellyfin or a hand-rolled version of it over media you already own, which changes what the product is rather than replacing it. ## Product outcome A self-hosted streaming site that scans a local media folder, pulls metadata and artwork, and plays it back in the browser with per-profile resume. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - Media files you actually have the right to store - A machine with disk space and enough CPU or a GPU for transcoding - ffmpeg installed - A metadata API key, for example TMDB - Bandwidth if you want to stream outside your own network ## Explicit non-goals for v1 - The entire catalog: licensed films, TV, and originals you cannot legally acquire - Global CDN delivery that does not stutter on hotel wifi - Native apps on every TV, console, phone, and streaming stick - Downloads with DRM, offline playback, and multi-device sync that just works - Recommendations built on hundreds of millions of viewing histories ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees. ===== ARCHITECTURE.md ===== # Architecture ## Starting brief Build a self-hosted personal media streaming server and web player. Single project, runs on my own machine, no accounts service, no cloud, no telemetry. Stack, no substitutions: - Node.js with TypeScript, Fastify for the API - SQLite via better-sqlite3 for the library database - React with Vite for the frontend, plain CSS, no component library - ffmpeg and ffprobe invoked as child processes - hls.js in the browser for playback What it does: 1. Reads MEDIA_ROOT from .env and recursively scans it for video files (mp4, mkv, avi, mov). Parses filenames into title, year, and optional season/episode. 2. Runs ffprobe on each file to record duration, resolution, codecs, and audio tracks. 3. Optionally enriches each title with metadata and poster art from the TMDB API using TMDB_API_KEY from .env. If the key is missing, skip enrichment gracefully and show a generated placeholder poster. 4. Serves a library browse UI: poster grid, search, filter by movie vs series, series drilldown to seasons and episodes. 5. Plays video at /watch/:id. If the source is browser-friendly h264/aac, stream it directly with HTTP range support. Otherwise transcode on the fly to HLS with ffmpeg, segmenting into a cache directory, and serve the playlist to hls.js. Reuse cached segments on repeat plays. 6. Tracks watch progress per profile. Local profiles are just names in SQLite, no passwords, no auth provider. Resume where you left off, mark watched at 90 percent, and show a Continue Watching row. 7. Extracts embedded subtitle tracks with ffmpeg, converts to WebVTT, and exposes them as selectable tracks in the player. 8. A CLI command "npm run scan" for rescanning, plus a watcher that picks up new files while running. Explicitly out of scope: any content acquisition, downloading, scraping, or DRM. No native mobile or TV apps. No recommendation engine beyond a recently-added row. No multi-user auth or public internet exposure; bind to localhost by default and document that exposing it is my problem. Deliver a README with setup steps, a .env.example listing MEDIA_ROOT, TMDB_API_KEY, PORT, and TRANSCODE_CACHE_DIR, and seed the database on first run. Keep the whole thing runnable with npm install then npm run dev. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it. ===== AGENTS.md ===== # Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone. ===== MILESTONES.md ===== # Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations. ===== OPERATIONS.md ===== # Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted Netflix capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
# Netflix indie build ## Goal Build the smallest trustworthy replacement for the core Netflix workflow for one developer or a tiny team. ## Scope A self-hosted streaming site that scans a local media folder, pulls metadata and artwork, and plays it back in the browser with per-profile resume. ## Quick start 1. Install the documented dependencies. 2. Copy `.env.example` to `.env`. 3. Run the development command chosen during implementation. 4. Complete the acceptance checks in `BUILD_PLAN.md`. ## Honest limits This build deliberately does not replace: - The entire catalog: licensed films, TV, and originals you cannot legally acquire - Global CDN delivery that does not stutter on hotel wifi - Native apps on every TV, console, phone, and streaming stick - Downloads with DRM, offline playback, and multi-device sync that just works - Recommendations built on hundreds of millions of viewing histories If those capabilities are essential, use Netflix instead of pretending the gap is solved.
# Agent instructions - Optimize for a working, understandable weekend build. - Prefer the fewest moving parts that satisfy the brief. - Do not invent cryptography, security guarantees, APIs, or compliance claims. - Keep secrets out of source control and logs. - Add focused tests for destructive, security-sensitive, and data-loss paths. - Run the project checks before declaring the build complete. - Record any deliberate shortcut in the README under "Tradeoffs".
# Build plan ## Original build brief Build a self-hosted personal media streaming server and web player. Single project, runs on my own machine, no accounts service, no cloud, no telemetry. Stack, no substitutions: - Node.js with TypeScript, Fastify for the API - SQLite via better-sqlite3 for the library database - React with Vite for the frontend, plain CSS, no component library - ffmpeg and ffprobe invoked as child processes - hls.js in the browser for playback What it does: 1. Reads MEDIA_ROOT from .env and recursively scans it for video files (mp4, mkv, avi, mov). Parses filenames into title, year, and optional season/episode. 2. Runs ffprobe on each file to record duration, resolution, codecs, and audio tracks. 3. Optionally enriches each title with metadata and poster art from the TMDB API using TMDB_API_KEY from .env. If the key is missing, skip enrichment gracefully and show a generated placeholder poster. 4. Serves a library browse UI: poster grid, search, filter by movie vs series, series drilldown to seasons and episodes. 5. Plays video at /watch/:id. If the source is browser-friendly h264/aac, stream it directly with HTTP range support. Otherwise transcode on the fly to HLS with ffmpeg, segmenting into a cache directory, and serve the playlist to hls.js. Reuse cached segments on repeat plays. 6. Tracks watch progress per profile. Local profiles are just names in SQLite, no passwords, no auth provider. Resume where you left off, mark watched at 90 percent, and show a Continue Watching row. 7. Extracts embedded subtitle tracks with ffmpeg, converts to WebVTT, and exposes them as selectable tracks in the player. 8. A CLI command "npm run scan" for rescanning, plus a watcher that picks up new files while running. Explicitly out of scope: any content acquisition, downloading, scraping, or DRM. No native mobile or TV apps. No recommendation engine beyond a recently-added row. No multi-user auth or public internet exposure; bind to localhost by default and document that exposing it is my problem. Deliver a README with setup steps, a .env.example listing MEDIA_ROOT, TMDB_API_KEY, PORT, and TRANSCODE_CACHE_DIR, and seed the database on first run. Keep the whole thing runnable with npm install then npm run dev. ## Required capabilities - Media files you actually have the right to store - A machine with disk space and enough CPU or a GPU for transcoding - ffmpeg installed - A metadata API key, for example TMDB - Bandwidth if you want to stream outside your own network ## Delivery order 1. Scaffold the smallest runnable application and document its commands. 2. Implement the primary data model and core workflow. 3. Add validation, safe failure states, and persistence. 4. Cover the critical path with automated tests. 5. Exercise a clean install from the README and fix every missing step. ## Done when - A new user can go from clone to first successful workflow using only the README. - The core workflow works without paid infrastructure unless the brief requires it. - Tests cover the highest-risk behavior. - Known limitations are explicit rather than hidden.
# Copy to .env and document every variable when it is introduced. # Never put real credentials in this file. APP_ENV=development # Add only values required by the selected implementation.
# Netflix product brief ## Problem You can absolutely build a Netflix, the software part is the easy part. A video catalog, transcoding pipeline, adaptive streaming player, watch progress, and profiles is a genuinely fun weekend of work, and self-hosted media servers already prove it. What you cannot build is the thing you were actually paying for: thousands of hours of licensed content plus originals you legally cannot obtain. A media server pointed at an empty disk is a very nice empty shelf. The honest DIY move is Jellyfin or a hand-rolled version of it over media you already own, which changes what the product is rather than replacing it. ## Product outcome A self-hosted streaming site that scans a local media folder, pulls metadata and artwork, and plays it back in the browser with per-profile resume. ## Target user A serious builder who needs a maintainable product foundation rather than a one-off demo. ## Required capabilities - Media files you actually have the right to store - A machine with disk space and enough CPU or a GPU for transcoding - ffmpeg installed - A metadata API key, for example TMDB - Bandwidth if you want to stream outside your own network ## Explicit non-goals for v1 - The entire catalog: licensed films, TV, and originals you cannot legally acquire - Global CDN delivery that does not stutter on hotel wifi - Native apps on every TV, console, phone, and streaming stick - Downloads with DRM, offline playback, and multi-device sync that just works - Recommendations built on hundreds of millions of viewing histories ## Success criteria - The primary workflow is measurable end to end. - Setup is reproducible in a clean environment. - Failure, recovery, and support paths are documented. - Product claims match what the implementation actually guarantees.
# Architecture ## Starting brief Build a self-hosted personal media streaming server and web player. Single project, runs on my own machine, no accounts service, no cloud, no telemetry. Stack, no substitutions: - Node.js with TypeScript, Fastify for the API - SQLite via better-sqlite3 for the library database - React with Vite for the frontend, plain CSS, no component library - ffmpeg and ffprobe invoked as child processes - hls.js in the browser for playback What it does: 1. Reads MEDIA_ROOT from .env and recursively scans it for video files (mp4, mkv, avi, mov). Parses filenames into title, year, and optional season/episode. 2. Runs ffprobe on each file to record duration, resolution, codecs, and audio tracks. 3. Optionally enriches each title with metadata and poster art from the TMDB API using TMDB_API_KEY from .env. If the key is missing, skip enrichment gracefully and show a generated placeholder poster. 4. Serves a library browse UI: poster grid, search, filter by movie vs series, series drilldown to seasons and episodes. 5. Plays video at /watch/:id. If the source is browser-friendly h264/aac, stream it directly with HTTP range support. Otherwise transcode on the fly to HLS with ffmpeg, segmenting into a cache directory, and serve the playlist to hls.js. Reuse cached segments on repeat plays. 6. Tracks watch progress per profile. Local profiles are just names in SQLite, no passwords, no auth provider. Resume where you left off, mark watched at 90 percent, and show a Continue Watching row. 7. Extracts embedded subtitle tracks with ffmpeg, converts to WebVTT, and exposes them as selectable tracks in the player. 8. A CLI command "npm run scan" for rescanning, plus a watcher that picks up new files while running. Explicitly out of scope: any content acquisition, downloading, scraping, or DRM. No native mobile or TV apps. No recommendation engine beyond a recently-added row. No multi-user auth or public internet exposure; bind to localhost by default and document that exposing it is my problem. Deliver a README with setup steps, a .env.example listing MEDIA_ROOT, TMDB_API_KEY, PORT, and TRANSCODE_CACHE_DIR, and seed the database on first run. Keep the whole thing runnable with npm install then npm run dev. ## Boundaries Separate the product into replaceable modules for interface, application logic, persistence, external integrations, and operational concerns. Keep domain logic independent from delivery frameworks and vendors. ## Production baseline - Configuration: validated at startup with safe local defaults where possible. - Security: least privilege, input validation, secret redaction, rate limits on abuse-prone paths, and no invented security primitives. - Data: explicit schema and migrations, transactional writes where integrity matters, backup and restore instructions. - Integrations: adapters around third-party providers, idempotent webhook or job processing, bounded retries, and timeouts. - Observability: structured logs with request or operation IDs, an error-tracking hook, and health/readiness checks where a server exists. - Quality: unit tests for domain rules, integration tests at module boundaries, and one end-to-end critical-path test. ## Decision records For each major dependency, document why it was chosen, its failure mode, and how it can be replaced. Do not introduce infrastructure until a requirement justifies it.
# Agent instructions - Read `PRODUCT.md` and `ARCHITECTURE.md` before changing code. - Implement milestone by milestone; keep each change reviewable and leave the application runnable. - Treat authentication, payments, encryption, imports, webhooks, and destructive actions as high-risk boundaries when present. - Never invent cryptography or silently weaken a requirement to make a test pass. - Use provider interfaces for external services and deterministic fakes in tests. - Add migrations and rollback or recovery notes for persistent data changes. - Log useful operational context without credentials, tokens, passwords, or personal data. - Update documentation and run all checks before completing a milestone.
# Delivery milestones ## M0 — Decisions and scaffold - Confirm the runtime, persistence model, threat boundaries, and deployment target. - Create a reproducible local environment and continuous checks. ## M1 — Core workflow - Implement the smallest end-to-end product path with validation and tests. - Keep integrations behind interfaces. ## M2 — Trust layer - Add secure failure behavior, recovery paths, audit-relevant events, and data safeguards. - Test abuse cases and destructive operations. ## M3 — Operability - Add structured logs, error reporting hooks, health signals, backup/restore documentation, and deployment configuration. ## M4 — Release gate - Run a clean-install test, critical-path end-to-end test, dependency review, and documented rollback exercise. - Compare the shipped behavior with `PRODUCT.md` and publish remaining limitations.
# Operations ## Before release - Validate configuration and secrets at startup. - Define backup, restore, and rollback procedures and test them. - Document logs, error tracking, health signals, and alert ownership. - Set dependency update and vulnerability review expectations. ## Incident checklist 1. Contain the issue without destroying evidence or user data. 2. Record the timeline and affected scope. 3. Rotate exposed secrets and revoke compromised sessions or credentials. 4. Restore from a verified source when needed. 5. Document the root cause, remediation, and regression test. ## Launch constraint Do not market omitted Netflix capabilities as implemented. The v1 non-goals in `PRODUCT.md` remain user-visible limitations until they are deliberately delivered.
$ choose a build depth, inspect the files, then open the complete pack in your agent · this prompt is generated from the build plan · improve it via PR
Nobody subscribes for the UI, they subscribe for the shelf. Netflix spends billions a year producing and licensing things you cannot buy, torrent legally, or approximate, and then delivers them at a bitrate that holds up on a TV over a mediocre connection through apps that already exist on the hardware in your living room. A self-hosted player solves playback, which was never the bottleneck. The moment your build needs content, you are either buying discs, buying digital copies, or committing crimes, and none of those are cheaper or more convenient than the subscription.
xThe entire catalog: licensed films, TV, and originals you cannot legally acquire
xGlobal CDN delivery that does not stutter on hotel wifi
xNative apps on every TV, console, phone, and streaming stick
xDownloads with DRM, offline playback, and multi-device sync that just works
xRecommendations built on hundreds of millions of viewing histories
Nothing worth pointing at. That's why the prompt exists.
Vibecode Netflix
Not really. Netflix's value is not the code: The moat is content rights, plus a CDN that makes 4K feel like a local file. See the honest breakdown above.
How much does Netflix cost?
Netflix costs about $19.99/month (Standard (ad-free), checked 2026-08-18), which is $239.88 per year.
What do I lose by replacing Netflix?
Honestly: The entire catalog: licensed films, TV, and originals you cannot legally acquire; Global CDN delivery that does not stutter on hotel wifi; Native apps on every TV, console, phone, and streaming stick; Downloads with DRM, offline playback, and multi-device sync that just works; Recommendations built on hundreds of millions of viewing histories. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to Netflix?
No mature open-source alternative worth pointing at, which is exactly why the one-shot prompt on this page exists.