19 working modes
The flagship product already exposes an unusually wide surface area for engineering work instead of forcing developers back into separate apps.
Paid AI coding platform
Flagship Product
CodeSplash AI
AI coding with almost 20 integrated applications in one agentic development environment
CodeSplash AI is a desktop-native AI coding platform that pulls coding, agents, Git, terminal work, research, APIs, databases, notes, planning, and multi-agent orchestration into a single development surface.
19
Integrated applications
From Git and editor workflows to email, calendar, API, database, search, notes, kanban, and vibe coding.
15
AI Agents
Codex, Claude, Gemini, Cursor, Aider, Cline, Roo, Goose, Kilo, Copilot, and more are treated as real sessions inside the workspace.
3
Operating Systems
The product ships as a real desktop app across macOS, Windows, and Linux instead of a browser-only shell.
Integrated code editor
A full editor mode sits inside the same desktop that handles Git, terminals, agents, and the rest of the product workflow.
Terminal inside the workspace
Run shell commands where you build instead of bouncing out to a separate terminal application.
Multiple terminal contexts
Terminal sessions can stay close to the repo or task they belong to, which is critical in multi-repo work.
All-in-one engineering surface
One desktop instead of a dozen disconnected tools
The codebase backs up the product claim. CodeSplash AI is not a single-purpose IDE wrapper. It is a broad Electron platform with dedicated renderer modules for Git, code editing, files, API work, databases, browser use, notes, email, calendar, kanban, and agent orchestration.
Parallel CLI agents
The product supports 15 CLI agent runtimes and a command-center experience for supervising multi-session work across repositories.
Real desktop workflow
The repository includes packaging, release asset normalization, and GitHub release publishing for macOS, Windows, and Linux.
Extensible platform
An extension store and registry generation pipeline turn the product into a broader platform rather than a closed workstation.
Why developers would actually use it daily
Built around real engineering loops, not demo-only AI
The strongest positioning angle is workflow density. CodeSplash AI lets users move from repository operations to coding, terminals, research, planning, and ops work without constantly context-switching.
Git-first execution
Git, branching strategies, history, merge tooling, diff views, and worktrees are core product surfaces instead of checkbox features.
Code plus shell plus files
The editor, terminal, search, and file management stack make the product useful even before the AI features are part of the story.
Product operations inside the same app
Browser, notes, calendar, email, kanban, API, and database modes extend the workspace beyond pure code editing.
Prompt-driven creation without losing control
Vibe Coding lives inside the flagship platform, which means prompt-based work can coexist with the lower-level engineering tools needed to finish real products.
Mode map
How CodeSplash AI breaks down in practice
This page keeps the product specific. Every section is grounded in the current repo and the screenshots already present in the website repo.
Admin Dashboard
Monitor product activity, billing, and operational state.
Agent
Run parallel AI agent sessions as real execution surfaces.
API
Manage requests, environments, and collections in-app.
Browser
Keep docs, research, and web tools inside the workspace.
Calendar
Bring planning and scheduling context into build work.
Command Center
Supervise multi-agent and multi-repo execution from one place.
Database
Inspect connections and query data without leaving the app.
Editor
Use a dedicated editor mode for day-to-day coding.
Keep product communication close to the work itself.
Extension Store
Install and manage extensions inside the platform.
Files
Navigate, organize, and operate on project files visually.
Git
Work through branches, history, diffs, merges, and worktrees.
Kanban
Track execution and product work without another tool.
Notes
Capture architecture and product context inside the workspace.
Search
Search repositories and content without losing flow.
Settings
Control the platform like an actual desktop product.
Shortcuts
Operate fast with a dedicated shortcut and command layer.
Terminal
Run shells, commands, and automation next to the code.
Vibe Coding
Prompt new builds without losing access to the engineering stack.
Screenshots
Every screenshot connected to a real story
The website now uses every screenshot you added and groups them into the product narratives they best support.
Core workspace
The flagship experience combines editing, shell work, file management, search, shortcuts, and system controls so the user can actually stay in one environment.
Integrated code editor
A full editor mode sits inside the same desktop that handles Git, terminals, agents, and the rest of the product workflow.
Terminal inside the workspace
Run shell commands where you build instead of bouncing out to a separate terminal application.
Multiple terminal contexts
Terminal sessions can stay close to the repo or task they belong to, which is critical in multi-repo work.
Command execution without context loss
The terminal surface is part of the main engineering loop rather than a secondary panel bolted onto a chat app.
File management mode
A dedicated files mode makes navigation and project housekeeping easier inside the same product.
Search across the workspace
Search is promoted to its own surface, which reinforces the positioning around speed in large codebases.
Shortcut-driven operation
A dedicated shortcuts view supports fast, repeatable navigation for users who live inside the tool every day.
Detailed system settings
Settings make the product feel like a platform with real controls instead of a fixed demo experience.
Git and repository workflows
Git is not an afterthought here. These screens show the repository-centric workflows that make the platform useful as a day-to-day engineering desktop.
Git working copy and history
The repository view gives the flagship product a clear daily-use anchor for professional developers.
Visual branching strategies
Branching workflows are represented as first-class product flows rather than hidden commands.
Parallel worktrees
Worktrees make the product more credible for serious engineering use and multi-stream development.
Side-by-side branch context
Multiple working contexts can stay visible inside the same desktop instead of becoming a mental juggling act.
AI agents and orchestration
The AI story is strongest when it is grounded in real execution. CodeSplash AI lets users run, compare, and monitor agent sessions alongside normal engineering work.
Parallel AI agents
This view makes the product claim concrete: the flagship platform runs real agent sessions, not just a single chat box.
Agent session depth
Agent sessions have their own context, state, and outputs, which helps the product feel operational rather than superficial.
AI command center
The command center is one of the strongest differentiators because it turns AI use into a coordinated engineering workflow.
Extension store
An extension surface reinforces the idea that the flagship product is a platform with room to grow.
Vibe coding inside the flagship
Prompt-driven creation exists inside the same desktop as Git, files, agents, and editor workflows.
Supporting product operations
The platform extends beyond code: browser, API, database, notes, calendar, email, and kanban make it easier to stay in flow across product work.
Research without leaving the app
Browser mode supports documentation, research, and product work inside the same environment.
Docs beside execution
Keeping browser context close to code and agents reduces the constant tab switching that kills momentum.
API tooling
Collections, environments, and request workflows can stay inside the same engineering desktop.
Database mode
Database inspection and query work are treated as part of the normal build loop.
Notes inside the product
Notes mode helps keep architecture thinking and build execution connected.
Knowledge stays in reach
The notes surface makes CodeSplash AI more useful as a daily home for product development.
Calendar context
Calendar mode extends the product into planning and coordination, not just code output.
Email workflow
Email inside the same app reinforces the all-in-one positioning around product operations.
Kanban execution
Kanban supports project management and task visibility without breaking the engineering loop.
FAQ
Questions about CodeSplash AI
These answers keep the positioning tight and aligned with what the current codebase and screenshots can honestly support.
Who is CodeSplash AI for?
CodeSplash AI is built for developers, solo builders, and engineering teams who want AI assistance inside a complete development workspace instead of a separate chat window.
What makes CodeSplash AI different from a normal coding assistant?
CodeSplash AI combines agent sessions with the tools developers use to finish real work: code editing, Git, terminals, files, browser research, API work, databases, notes, kanban, email, calendar, and more.
Can CodeSplash AI replace parts of my daily development setup?
Yes. The goal is to keep common development tasks in one desktop app so you can move between code, agents, Git, shell commands, project notes, and supporting tools without constantly switching contexts.
What platforms are supported?
CodeSplash AI is available for macOS, Windows, and Linux, with platform-specific downloads for common desktop setups.
Get started
Launch CodeSplash AI
CodeSplash AI is available now across macOS, Windows, Linux. The direct release links stay intact here so the existing GitHub artifact flow keeps working.