CodeForge

Build apps, preview locally, and fix errors automatically.

CodeForge is a mobile-first AI coding agent for founders, freelancers, and small teams who want to turn website or app ideas into working projects faster. Users can upload a zip, describe a project, and let the agent generate code, run builds, inspect terminal errors, and preview the app on localhost or a device-friendly preview. It is designed to reduce the gap between an idea and a runnable prototype by combining model routing, project memory, and automated fix loops in one Android app.

Business Goals

Reach 10,000 registered users within 6 months of launch with at least 20% weekly active usage.
Convert 8% of free users to paid within 90 days of first project creation.
Keep month-2 retention above 35% for users who create at least one project.
Achieve sub-3 minute average time from project import to first runnable preview for supported templates.
Maintain customer support tickets below 5 per 100 active users per month by shipping strong error recovery and onboarding.

User Goals

Generate a working website or app codebase from a plain-language request.
Upload a zip or folder structure and have the agent continue from the existing project.
See build and runtime errors explained in plain language and auto-fixed when possible.
Preview the app locally without leaving the workflow.
Manage projects with separate memory, delete old context, and start a new chat instantly.

Non-Goals

Not a full replacement for professional software engineering review in production systems.
Not a cloud deployment or hosting platform in the first release.
Not intended to support every language, framework, or mobile target on day one.
Not a general-purpose chat app without coding, build, or preview actions.

Solo Founder Aamir, 31 - Aamir has product ideas but limited engineering time. He needs to create demos fast, test them on localhost, and iterate without switching between many tools.

Solo Founder Aamir, 31

As a solo founder, I want to describe my app in plain language, so that I can get a usable prototype without writing code myself.
As a solo founder, I want the agent to fix build errors automatically, so that I can keep momentum when something breaks.
As a solo founder, I want to preview changes locally, so that I can validate the UI before sharing it with investors.

Freelance Developer Sara, 27 - Sara already codes but wants an assistant that can scaffold projects, understand imported zip folders, and handle repetitive fixes across multiple client projects.

Freelance Developer Sara, 27

As a freelance developer, I want to upload an existing project zip, so that I can continue work from a client handoff quickly.
As a freelance developer, I want project-specific memory, so that each client’s context stays isolated.
As a freelance developer, I want terminal output surfaced in the app, so that I can inspect and control the build loop from my phone.

Agency Tech Lead Imran, 38 - Imran manages small client prototypes and needs a reliable workflow for experimentation, model selection, and safe context management.

Agency Tech Lead Imran, 38

As a tech lead, I want to choose between Grok, Gemini, and OpenRouter-backed models, so that I can balance cost, quality, and speed per task.
As a tech lead, I want to delete project memory and start a new chat, so that stale context does not contaminate new requests.
As a tech lead, I want stable build logs and preview links, so that I can review work remotely with the team.

Project Creation and Import · High priority

Users can start from scratch or import an existing codebase as a zip or folder-like upload so the agent can analyze, modify, and build the project.
Support new project creation with a project name, target platform, and short prompt.
Accept zip files up to 500 MB and extract them securely into a sandboxed workspace.
Detect common project types such as Next.js, React Native, Flutter, Vite, and Node-based apps.
Show import validation errors when the archive is corrupted, too large, password-protected, or missing a package manifest.
Preserve file structure and changes across chat turns within the same project workspace.

AI Build and Fix Agent · High priority

The agent generates code, runs build commands, reads errors, and applies fixes in a loop until the project becomes runnable or the user stops it.
Run a configurable command chain such as install, lint, build, and start.
Parse compiler, runtime, and dependency errors from terminal output.
Generate targeted code edits rather than rewriting the whole project unless explicitly requested.
Stop after a bounded number of fix attempts, then surface the failure reason and next recommended action.
Log every agent action so users can inspect what changed and why.

Localhost Preview and Terminal · High priority

Users can inspect terminal output and open a local preview of the running app directly inside the product.
Display a live terminal stream with search, copy, and error highlighting.
Expose localhost preview in an embedded web view or device-compatible preview tunnel.
Support restart, stop, and rerun controls for the dev server.
Show clear status states for installing, building, running, failed, and waiting for input.
Handle port conflicts by suggesting or auto-selecting an alternate available port.

Project Memory and Chat Management · Medium priority

Each project keeps isolated context, with easy controls to reset chat history or clear memory when needed.
Store project-specific summaries, code decisions, and user preferences separately per workspace.
Provide a New Chat action that starts a fresh conversation without deleting the codebase.
Provide a Delete Memory action that removes saved context for the selected project.
Let users pin important instructions such as coding style or framework preferences.
Warn users before destructive memory deletion and explain what will be removed.

Model Routing and Settings · Medium priority

Users can select from supported AI providers and route tasks to the best model for coding, debugging, or planning.
Support Grok AI, Gemini AI, and OpenRouter as selectable providers in settings.
Allow API key entry and validation for each provider.
Provide a default model strategy per task type such as planning, code generation, and error fixing.
Show estimated token usage or cost indicators when available.
Fallback to another provider when the selected model fails or rate limits are hit, if configured by the user.

First-Time Setup and Project Launch

Install the Android app and sign in or continue as guest for limited mode.
Connect at least one AI provider key in Settings or choose the free starter mode if available.
Tap Create New Project or Import Zip to begin.
Enter a short goal, select target stack, and confirm build preferences.
Receive the first scaffolded code draft and build attempt within 3 minutes for supported templates.
Open the local preview or terminal view and continue iterating from the same project.

1. Create or Import Project

The user starts from a blank idea or uploads an existing zip. The app validates the archive, identifies the stack, and prepares an isolated workspace.
Reject corrupted archives and clearly explain the issue.
If required files are missing, suggest the closest supported stack or ask for confirmation.
Show project size, detected framework, and estimated initial build time before starting.

2. Plan the Build

The agent translates the user request into a short implementation plan and asks for confirmation when scope is unclear.
Summarize pages, screens, dependencies, and commands before editing code.
Ask clarifying questions only when the request blocks execution.
Allow users to edit the plan or proceed automatically.

3. Generate and Patch Code

The agent writes code across relevant files, keeping changes scoped and traceable.
Make incremental file edits with visible diffs.
Prefer existing patterns in the imported project.
If the task touches unsupported files or missing dependencies, surface a precise warning instead of guessing.

4. Build, Read Errors, Fix Loop

The app runs terminal commands, detects failures, and automatically attempts fixes until success or stop conditions are reached.
Capture build logs and map errors back to source files when possible.
Apply fixes for common issues such as missing imports, type errors, and dependency mismatches.
Stop after 3 automated fix attempts and present a concise resolution summary.

5. Preview and Share

Once the build passes, the user opens localhost preview, reviews the output, and shares the project state with others.
Open a preview link or embedded browser view.
Allow restarting the dev server from the same screen.
Persist the latest successful build state so users can return later.

Power User and Edge Case Features

Provider routing rules that choose Grok, Gemini, or OpenRouter based on task type and cost.
Project snapshots and rollback before risky multi-file edits.
Multi-project workspace with isolated memory, logs, and previews.
Export project changes as a zip or patch file.
Manual terminal command mode for advanced users who want full control.
Graceful handling of offline or rate-limited provider states with queued retries.

Mobile-First Build Workspace

Three-pane mobile layout optimized for chat, files, and terminal with bottom sheet behavior on small screens.
High-contrast error states and readable code diffs with accessible font sizing.
Fast project switching with visible workspace badges and memory status indicators.
Touch-friendly controls for New Chat, Delete Memory, Preview, and Stop Build.
Performance target of showing first workspace state within 2 seconds on mid-range Android devices.

Aamir has an idea for a simple booking app but no time to set up a dev environment on his laptop. He opens CodeForge on Android, creates a project, chooses Gemini for scaffolding, and gets a working starter app plus a live terminal in minutes.

When the build fails on a missing dependency, CodeForge reads the error, patches the code, reruns the command, and shows the preview on localhost. Aamir checks the UI, makes one small prompt change, and exports the project state to share with his developer partner.

Instead of losing half a day to setup and debugging, Aamir moves from idea to runnable prototype in one session. The business value is faster iteration, fewer abandoned prototypes, and a product that keeps users inside a single workflow from prompt to preview.},

User-Centric Metrics

At least 70% of new users reach first runnable preview within 15 minutes.
At least 60% of imported projects successfully complete initial analysis on first attempt.
Average automated fix success rate of 45% for common build errors in supported stacks.
User satisfaction score of 4.3 out of 5 or higher on successful build sessions.
Less than 10% of active users report confusion about where to find terminal, preview, or memory controls.

Business Metrics

Free-to-paid conversion reaches 8% within 90 days of first project.
Monthly retention for active builders stays above 35%.
At least 25% of users create a second project within 30 days.
Organic referral rate reaches 15% through shareable preview demos.
Average revenue per paid user increases month over month after provider routing and usage limits ship.

Technical Metrics

99.5% monthly uptime for project workspace and preview services.
Median terminal log update latency under 1 second.
Build orchestration succeeds or fails with a clear final state within 20 minutes for supported project sizes.
No high-severity secrets exposure incidents and encrypted storage for all API keys.

Tracking Plan

Track project_created with stack type, source as new or zip import, and time to first action.
Track zip_uploaded with file size, validation result, and detected framework.
Track build_started with command sequence, provider selected, and workspace id.
Track build_error_detected with error class, file path, and command that failed.
Track auto_fix_applied with edit count, model used, and whether the next build passed.
Track preview_opened with device type, session duration, and success status.
Track memory_deleted and new_chat_started to measure workspace reset behavior.

Technical Needs

React Native for Android app delivery with a shared component architecture for future iOS expansion.
Backend API using Node.js with TypeScript and a queue-based job runner for builds and fix loops.
Workspace sandboxing using Docker containers or isolated ephemeral runners for code execution.
File extraction and project analysis service with secure archive scanning and path traversal protection.
PostgreSQL for projects, chats, settings, and audit records.
Object storage such as S3 or compatible storage for zip uploads, build artifacts, and logs.
Realtime updates through WebSockets or Server-Sent Events for terminal stream and build status.

Integration Points

Grok AI API for code generation and reasoning.
Google Gemini API for planning, code synthesis, and fix suggestions.
OpenRouter API for model routing across multiple providers.
Google Sign-In or email auth for user account access.
Stripe for subscriptions and usage-based billing if monetization is enabled.

Data Storage & Privacy

Store provider API keys encrypted at rest using a managed KMS.
Separate project workspaces logically and never mix memory across projects.
Support user-requested deletion of project memory, uploaded zips, logs, and artifacts.
Minimize retention of source archives and allow configurable auto-expiry after successful build.
Document GDPR and CCPA data handling, including export and deletion requests.

Scalability & Performance

Use asynchronous jobs for builds so app UI stays responsive on slow devices.
Cache detected project metadata and last build state to reduce repeat analysis time.
Limit concurrent builds per user and per workspace to protect backend capacity.
Stream logs incrementally instead of waiting for full command completion.

Potential Challenges

Build commands can be flaky across frameworks; mitigate with stack detection, templated command presets, and retries.
Auto-fixing can create bad code changes; mitigate with scoped diffs, rollback snapshots, and attempt limits.
Mobile devices have limited screen space; mitigate with a bottom-sheet terminal, compact file navigator, and clear status chips.
Provider cost can spike with long sessions; mitigate with token budgeting, task-specific model routing, and usage alerts.
Importing untrusted zips is risky; mitigate with archive scanning, sandboxed execution, and restricted filesystem access.

Team & resourcing - Small team - 2 mobile/backend engineers, 1 product designer, part-time PM, and shared QA support.

Phase 1: MVP Workspace · Weeks 1–4

Android app shell with sign-in and settings
Create new project flow
Zip import and archive validation
Basic chat-driven code generation
Project list with isolated memory

Phase 2: Build and Preview Loop · Weeks 5–8

Backend build runner with sandboxed execution
Terminal log streaming in-app
Automated error detection and fix loop
Localhost preview access
Stop, restart, and rerun controls

Phase 3: Provider Routing and Memory Controls · Weeks 9–12

Grok, Gemini, and OpenRouter integrations
Per-project memory summaries
New chat and delete memory actions
Usage tracking and cost visibility
Better stack detection for common web and mobile templates

Phase 4: Reliability and Launch Hardening · Weeks 13–16

Rollback snapshots and safer diffs
Performance tuning for large imports
Analytics dashboards and event tracking
Security review for archive handling and key storage
Public beta release on Android

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build CodeForge, a mobile-first Android app for AI-assisted coding, build automation, and local preview.

Product summary:
Users can create a new project or import an existing project as a zip file, then chat with an AI coding agent to generate, modify, build, and fix the codebase automatically. The app must show a live terminal stream, run build commands, detect errors, attempt automatic fixes, and expose a localhost preview inside the app. Each project must have isolated memory, a New Chat action, and a Delete Memory action. In Settings, users can connect and switch between Grok AI, Google Gemini, and OpenRouter as model providers.

Primary screens and flows:
1. Auth / onboarding screen with provider key setup
2. Project list screen with create new project, import zip, and recent workspaces
3. Project workspace screen with chat, file tree, terminal, preview, and build status
4. Settings screen for model providers, API keys, default routing, and privacy controls
5. Memory management screen for per-project context, new chat, and delete memory confirmation

Core functionality:
Support new project creation from a prompt, detect common frameworks like Next.js, React, Vite, Node, Flutter, and React Native, and store each project in an isolated workspace. Accept zip uploads, validate archive size and security, extract them safely, and analyze the project structure. Run build commands through a backend job runner in a sandboxed container, stream logs in real time, parse errors, and apply targeted code fixes in an edit loop with a max of 3 attempts. Show localhost preview in an embedded web view or tunneled preview link. Keep project-specific memory separate and allow users to clear it without deleting files.

Data model:
User, ProviderConfig, Project, ProjectMemory, ChatMessage, FileChange, BuildJob, BuildLogChunk, PreviewSession, and AuditEvent. Include timestamps, status fields, provider selection, workspace path references, and deletion flags.

Tech stack:
Use React Native with TypeScript for the Android app, Node.js with TypeScript for the backend API, PostgreSQL for persistence, Redis for job queues and realtime coordination, Docker sandbox runners for build execution, and WebSockets or SSE for live terminal and build updates. Use secure encrypted storage for API keys and S3-compatible storage for uploaded zips and artifacts.

Implementation requirements:
Use a clean modular architecture, strong error handling, and accessible mobile UI. Make the app feel fast on mid-range Android devices. Include empty states, loading states, error states, and success states for every major screen. Implement clear confirmation dialogs for destructive actions like Delete Memory. Provide sample seed data and mock provider adapters so the app runs in local development without real API keys. Build the MVP first, then add provider routing, rollback snapshots, and usage analytics.

Business Idea

Mujhe Khud ka AI coder agent banana hai jo website app ka code Khud likhe aur Build kare error aane par khud usko fix kare Tarminal bhi hona Chahiye Aor Localhost pe preview dikhaye Aor Zip file Folder accept kare Build kare Project wise memory Delete Batan New chat Icon ... Seting ke under Free Modals Ai 🧠 Brains Integration "Grok AI" "Gemini AI" "Open router" Google Ai Studio se Banana hai Step by step process Batao Android app

Design by The Resonance | Powered by GPC – The AI Transformation Company

TL;DR

Goals