AskCodi orchestrates AI coding, two ways. Talk to Codi, an AI CTO in the Mac app that runs a team of agents and picks the right model for every job. Or call the same orchestration as an OpenAI-compatible API. Bring your own key.
Key features
🤖 BYOK: Claude Code, Codex CLI, and more
🧠 An AI CTO that plans, delegates, and ships
💸 Auto model routing, low cost by default
🗂️ Remembers your whole codebase
🔌 OpenAI-compatible API for any LLM
📊 Analytics and cost controls
This is the 4th launch from AskCodi. View more
AskCodi
Launched this week
Tell Codi what you want to build. It writes the plan, runs AI agents in parallel across all your projects, and picks the cheapest model that can do each task, so you ship more and spend less. When you add a project it writes the charter and task list itself, and only pulls you in when a decision needs you, through one inbox.
Free Options
Launch Team / Built With
AskCodi
@ankita_singh27 We have a few things built in that improve output quality while reducing cost. Codi acts as both a supervisor and reviewer for the other agents, and it also routes each task to the most cost-effective model using our routing algorithm. The routing doesn't rely only on benchmark scores - it also considers recent model performance and task difficulty. So instead of defaulting to Fable or GPT-5.6 Sol for everything, it'll often choose models like GLM 5.2, Kimi K3, or MiniMax M3 when they're sufficient. Across our benchmark suite, we've seen roughly 50% lower inference costs with only about a 0.5% drop in task completion.
Pluno
Interesting - how did you build the model routing?
AskCodi
@korbinian_abstreiter It is a combination of LLM Routing + benchmarks + public dataset of model performance over time. We keep experimenting and this adaptive routing is currently showing the best performance.
@shreyans_assistiv I tried new version, What happens if I update the feature board while the agent is running on the task?
AskCodi
@ankita_singh27 Codi adapts, checks if any task are dependent on the change and updates them accordingly. It acts as a true supervisor.
@shreyans_assistiv congrats on the launch. Which models do you find are being used most often?
AskCodi
@adam_maceachern1 Kimi K3, GLM 5.2 and Sonnet 5 as the more effective worker models. Fable or Sol for supervisor. The system is absolutely killing it :) Thank you for your support!!
Swytchcode
Thats a nice concept. How do you handle cases where you may need to use multiple models?
AskCodi
@chilarai Codi when sets up Agents for a task, thats where our auto routing comes into play so always the best model for that task. I hope I am understanding your question correctly. What case do you see for needs multiple models. Would love to understand, thank you
This is sweet, congratulations on the launch. “I didn’t want a bigger cockpit” is probably the best way to explain this. A lot of AI coding tools still make the user responsible for managing the machinery. The part I’d want to test is where Codi draws the line between moving ahead and stopping for approval. On a real project, that judgement matters more than model selection. How does it handle changes that look small technically but carry business risk, like touching billing, auth, production data, or a core workflow? That feels like the point where an AI CTO either earns trust or creates more work.
Bond
interesting!! where's the name from?
AskCodi
@teaganyuen Its actually a 4 year old brand name, it changed from AskJarvis. We always envisioned Codi as a CTO, now it is technically possible.