AskCodi
AskCodi · Coding
AskCodi is an AI development platform that scopes and builds software through an AI agency, a desktop agent app, and one OpenAI-compatible gateway for major models.
About AskCodi
What Is AskCodi
AskCodi is an AI development platform for people who need software built and then kept running. You describe the business problem in plain language. The agency, called Codi, writes a scope, builds the work in a GitHub repository you own, puts it live, and stays on the account to fix what breaks.
The company started in 2022 as an AI coding assistant. Suggestions were useful, yet every hard decision still landed back on the person who asked. The product was rebuilt around finished work. Three pieces now sit under one account: the Agency, a desktop app that runs agents on your own machine, and an AI Gateway that gives one endpoint for models from Anthropic, OpenAI, Google and xAI.
The limits are worth knowing before you start. The agency model is new, so long-term reliability on a messy production codebase is not yet proven in public. Usage is metered in tokens, which means a heavy month can burn credit faster than you expect. The desktop app covers Apple Silicon Macs and 64-bit Windows, and Linux builds are not out yet.
Getting Started
- Create a free workspace at app.askcodi.com. No card is required, and the free plan opens with 1,000,000 tokens a month.
- Describe what the business needs in a sentence or two. The agency replies with a written scope that names what version one includes and what it leaves out.
- Approve the scope. Work moves to a board showing tasks in progress, deliveries waiting on your sign-off, and runs still going.
- Review the delivery. Every run leaves a receipt with what changed, which checks passed, what it cost, and why it stopped.
- For model access alone, create a workspace key and point your client at api.askcodi.com/v1. If you want the agents locally, install the desktop app and connect a repository.
Product Information
A quick look at AskCodi's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Non-technical founders
- Developers who want one key
- Small agencies and freelancers
Tasks
- Shipping version one of a product
- Switching model providers
- Error triage and upkeep
Scenarios
- Starting a business from an idea
- Adding an assistant to your own product
- Running a codebase you already have
Key features
A Written Scope Before Any Code
Every engagement starts with a document that names what version one includes, what it leaves out, and which check proves the work is finished. That scope is agreed before a line is written, so the risk of spending a quarter on the wrong thing drops. You can read the brief and reject it before any credit is spent on building.
One OpenAI-Compatible Endpoint for Every Model
The gateway speaks the OpenAI API, so an existing client keeps working after you swap two values: the base URL and the key. Model choice happens in the request as a provider model id such as anthropic/claude-sonnet-4.5, which makes it a multi-model API rather than a reseller of one vendor. An editor that expects AI code generation only needs the new base URL and key. Streaming, tool calling, image input and audio transcription all run through the same shape, and differences between providers are translated on AskCodi's side.
Hard Spend Caps and Automatic Fallback
Caps are set per key and per project, and work stops at the cap instead of at the invoice. If you configure a fallback list, the next model answers when a provider has a bad hour. Without a list, the provider error comes back as it is, which is easier to debug than a silent substitution.
A Desktop App That Runs Agents Locally
AskCodi Desktop is an AI desktop coding agent that works against the toolchain installed on your machine, not a sandbox copy of it. Each specialist gets its own git worktree from the same parent commit, so four agents can build at once without touching your checkout. Projects, runs and history live in a local database, and the repository stays on disk. The app is free and opens without a plan.
Approval Gates on Money and Irreversible Moves
Money decisions, scope changes, destructive commands and going live all return to you first. The agency runs unsupervised only inside a supervised pilot you approved, and anything outside those boundaries comes back for a decision. For anyone letting an agent near a production repository, this boundary is the feature that makes the rest usable.
Receipts, Boards and Retainer Plays
Each scheduled wake leaves a receipt: what changed, what proved it, what it cost, and why it stopped. A board shows what needs you, what is working and what is done, with the conversation beside the work. Standing plays cover recurring jobs such as error triage, support grouping and documentation upkeep, and a written update lands every Monday.
Pros and cons
Pros
- One workspace key reaches Anthropic, OpenAI, Google, xAI and open-weight models, so billing and revocation happen in one place.
- The free plan gives 1,000,000 tokens a month with no card, enough to test the workflow against a real repository.
- Every paid plan returns its full price as token credit at $1.25 per million tokens, with no platform fee held back.
- Deliverables live in a GitHub repository you own, so leaving costs the subscription and nothing else.
- The desktop app is free and keeps the repository on your disk, with only the context a step needs leaving the machine.
Cons
- The agency is a 2026 product, so reliability on messy production code is not backed by years of public track record.
- Token metering ties cost to how much the agents run, and a busy month needs a spend cap or close watching.
- The desktop app covers Apple Silicon Macs and 64-bit Windows, so Linux users wait or fall back to the web app.
- Editor integrations mean entering a base URL and key yourself, since there is no single plugin that installs AskCodi into every IDE.
Frequently asked questions
AskCodi is an AI development platform built around an agency that scopes, builds, deploys and maintains software for you. A desktop app runs the same agents on your own machine, and an AI Gateway exposes the model layer as one OpenAI-compatible API.
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