Native macOS app
iCoderAgent is a real Mac app — not an Electron wrapper or a web page in a frame. It launches fast, feels at home on macOS, and runs entirely on your machine.
Because it's native, the agent works directly with your local filesystem, shell, and tools — no cloud workspace, no sync delay, no uploading your repo anywhere.
Bring your own key (BYOK)
Plug in your own API key from Anthropic (Claude), OpenAI (GPT), xAI (Grok), and other providers. You pay the model maker directly — no token markup, no middle-man, no lock-in.
Switch providers or models anytime, and keep full control of spend from your provider's own dashboard. New to API keys? Our guide walks you through every vendor →
Official vendor guides: Anthropic · OpenAI · xAI · Gemini · GitHub Models · Groq · Azure · OpenRouter · DeepSeek · Moonshot · Hugging Face
Real developer tools
The agent doesn't just talk about code — it does the work with the same tools you'd use:
- Reads, writes, and edits files in your project
- Runs shell commands and sees their output
- Works with git — status, diffs, commits, branches
- Queries databases and inspects results
Multi-agent pipelines
Big tasks don't fit one prompt. iCoderAgent breaks work into plan → build → review loops, spawning sub-agents that each own a piece and report back.
The result: larger changes stay reliable, and you can watch each stage instead of hoping one giant answer got everything right.
Plan mode
Ask for a plan before anything changes. In plan mode the agent is read-only — it explores your codebase, traces the real flow, and proposes an approach you can approve, adjust, or reject before a single file is touched.
Native UI design canvas
Drop in a mockup or describe a screen, and iCoderAgent turns it into a real, editable native interface — actual views and code, not a static image.
Preview the result live, tweak it, and keep iterating with the agent until it matches what you had in mind.
Skills
Teach the agent repeatable workflows — your deploy steps, your review checklist, your project conventions — and invoke them on demand. Skills make the agent work the way your team works, instead of reinventing the process every session.
MCP servers & plugins
Extend the agent with Model Context Protocol servers and plugins — connect external tools, data sources, and services so the agent can reach beyond your repo when the task needs it.
Diagrams
Ask for an architecture sketch, a flow chart, or a sequence diagram and get one generated from your actual code — useful for onboarding, docs, and thinking through a change before making it.
Typed answers, without the model
Some questions are a choice, a score, or a true/false — not an essay. Add a TypeSafe key and those go to Jev, a decision model that answers with a probability, a ranked set of options, or a score against your own rubric. Your model key isn't touched.
jev is python is dynamically typedjev pick swift|kotlin|dart :: which is native on iOS?jev rate low|medium|high :: how risky is a force push?
It also handles three of the agent's own decisions — which specialist role fits a subtask, whether a command is about to destroy something, and whether finished work actually works. Metered separately, so you can see what it costs against what it saves. How it works →
Have it scan its own work
Every file the agent writes is checked as it goes — a key left in a config file, a query built by string formatting, a password sent to a log. It is told immediately and fixes it, at no cost and with nothing to set up. For known CVEs and deeper analysis, connect Snyk as an MCP server.
agent scan this project for vulnerabilitiesagent check my dependencies for known CVEs
The built-in checks need nothing; Snyk runs through your paired laptop on a free account. How it works →
You approve the risky stuff
Deletes always ask first — no setting bypasses it. File access stays inside the project folder you choose, and plan mode is read-only.
The agent is powerful, but you hold the keys to anything destructive. How the security model works →
Your machine, your data
Your code, prompts, and API keys stay on your Mac. Conversations go only to the AI provider you chose, with your key — iCoderAgent has no servers reading your work, no telemetry on your code, and nothing to leak.
It's a tool, not a data pipeline. Read exactly what data goes where →
Pairs with iCoderAgent for iOS
The same agent lives on iPhone and iPad, running real Python on-device — and it can pair with your Mac for remote work. Start on the couch, finish at the desk. See the iOS app →