SaaS Metrics
Product Positioning & Context
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.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is AskCodi?
AskCodi is a digital product or tool described as: Orchestrate agents at scale while reducing cost
Where did AskCodi originate?
Data for AskCodi was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was AskCodi publicly launched?
The initial public indexing or launch date for AskCodi within our tracked developer communities was recorded on July 23, 2026.
How popular is AskCodi?
AskCodi has achieved measurable traction, logging over 100 traction score and facilitating 10 recorded discussions or engagements.
Which technical categories define AskCodi?
Based on metadata extraction, AskCodi is categorized under topics such as: Mac, Productivity, Artificial Intelligence.
What are some commercial alternatives to AskCodi?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Teable 3.0, which offers overlapping value propositions.
How does the creator describe AskCodi?
The original author or development team describes the product as follows: "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 ..."
Community Voice & Feedback
Congrats on launching a neat product! QQ: the cost story depends on Codi correctly calling a task 'boring' and handing it to a cheap model, and the tasks that look boring but aren't are exactly where cheap models produce plausible-wrong output. How are solving this conundrum if I didn't invent it at all and it exists?
Congrats on the launch guys 🥳! Quick question though I'd usually want to run 2-3 branches on the same repo at once (say a feature, a bugfix, and a refactor in parallel). Does AskCodi isolate that at the branch/worktree level within a single project so they don't conflict, or is the parallelism mainly across separate projects?
Even if we clearly explain the full product vision and guidelines to Codi upfront, how do we ensure the AI agents it runs don't drift off course during execution, especially on longer, multi-step tasks? What mechanisms are in place to keep them aligned with the original intent throughout, not just at the start?
Hey PH 👋 Sachin here, One more thing for anyone coming over from Product Hunt today.The app is free to try for 7 days, no strings. After that it's $60 for the year. Most people spend more than that on AI in a couple of months, and Codi is built to send the cheap work to cheap models, so it usually saves you more than it costs.Two ways you'd genuinely help us:1. Tell us the first moment Codi lost your trust. That's the thing we most want to fix.2. If you juggle more than one project, tell us whether having Codi run them in parallel actually saves you time.We're around all day and will answer every comment. If something breaks, reply here or reach out to us via the web app support and we'll jump on it.
How do balance cost savings without sacrificing output quality?
How did GPT-5.6 change the ambition or scope of what you shipped?
Hi, I'm Shreyans, one of the makers.
I built AskCodi because I got tired of babysitting AI. Every tool I tried turned building software into a second job. Pick the model, paste the context, wire up the agents, then sit there watching a run and hoping it didn't go sideways. I was spending more time operating the tool than shipping with it.
So we made the opposite of that. You hire Codi, an AI CTO that lives on your Mac, and you talk to it the way you'd talk to a real one. You don't manage a fleet of agents. You manage one person, and that person runs the team.
You've probably seen tools that give you a control center for your agents: terminals, panes, worktrees, all of it yours to drive. This is the opposite. I didn't want a bigger cockpit. I wanted to hand the work to someone and step away.
A few things I'm proud of, and would love you to poke holes in.
Before Codi writes a single line, it sits down and learns the project. It asks what you're building, who it's for, and what it should never touch without checking, then drafts a plan from your answers. So it builds the thing you meant, not the literal words you typed.
You never choose a model again. Codi decides task by task. Cheap models for the boring parts, the expensive ones only where they earn it. In our own use, a week of work came out around a dollar, instead of the fifteen-ish it costs to run a frontier model on everything.
And it doesn't need you sitting over it. Codi already knows what's next from talking to you, so it keeps working in your off-hours when tokens are cheaper. You close the laptop, it keeps going, and the calls that are actually yours are waiting in an inbox the next morning. That's really the whole product: a chat and an inbox.
It also isn't one thing at a time. Codi runs sessions in parallel across every project you have, so you can kick off work on three repos before your coffee is ready and let them all move together. It's the closest I've felt to running a studio on my own.
Honest caveat, since I'd rather you hear it from me: it's early. The memory gets sharper the more you use it, and there are rough edges we're still filing down. If you try it, I most want to hear where it annoyed you.
One aside: AskCodi also has an OpenAI-compatible API, if you'd rather build on the orchestration than talk to it. The app is what I'm here to show you today, but the same brains are a call away.
It's on Mac(Windows coming soon), free to start on your own Claude subscription. Ask me anything, I'll be here all day.
I built AskCodi because I got tired of babysitting AI. Every tool I tried turned building software into a second job. Pick the model, paste the context, wire up the agents, then sit there watching a run and hoping it didn't go sideways. I was spending more time operating the tool than shipping with it.
So we made the opposite of that. You hire Codi, an AI CTO that lives on your Mac, and you talk to it the way you'd talk to a real one. You don't manage a fleet of agents. You manage one person, and that person runs the team.
You've probably seen tools that give you a control center for your agents: terminals, panes, worktrees, all of it yours to drive. This is the opposite. I didn't want a bigger cockpit. I wanted to hand the work to someone and step away.
A few things I'm proud of, and would love you to poke holes in.
Before Codi writes a single line, it sits down and learns the project. It asks what you're building, who it's for, and what it should never touch without checking, then drafts a plan from your answers. So it builds the thing you meant, not the literal words you typed.
You never choose a model again. Codi decides task by task. Cheap models for the boring parts, the expensive ones only where they earn it. In our own use, a week of work came out around a dollar, instead of the fifteen-ish it costs to run a frontier model on everything.
And it doesn't need you sitting over it. Codi already knows what's next from talking to you, so it keeps working in your off-hours when tokens are cheaper. You close the laptop, it keeps going, and the calls that are actually yours are waiting in an inbox the next morning. That's really the whole product: a chat and an inbox.
It also isn't one thing at a time. Codi runs sessions in parallel across every project you have, so you can kick off work on three repos before your coffee is ready and let them all move together. It's the closest I've felt to running a studio on my own.
Honest caveat, since I'd rather you hear it from me: it's early. The memory gets sharper the more you use it, and there are rough edges we're still filing down. If you try it, I most want to hear where it annoyed you.
One aside: AskCodi also has an OpenAI-compatible API, if you'd rather build on the orchestration than talk to it. The app is what I'm here to show you today, but the same brains are a call away.
It's on Mac(Windows coming soon), free to start on your own Claude subscription. Ask me anything, I'll be here all day.
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.