A programming agent that runs anywhere, from local dev to CI
Exponent is a highly capable AI agent that collaborates on any software engineering task from exploration to deployment. Early users have been using Exponent to debug Docker, write SQL queries, automate incident response, and much more.
I'm Sashank, and we're excited to launch Exponent, a highly capable AI programming agent that collaborates on software engineering tasks in any environment.
After building and using many AI coding tools, we repeatedly found the same problems and limitations:
They are restricted to a single surface like an IDE, even though engineering work happens in many places
Behavior is opaque and you can't tell what they are doing and where they are going wrong
They go off the rails and are difficult to steer
We built Exponent to be the AI programming agent that we would want to use by focusing exclusively on a collaborative, agent-first experience:
It feels great to collaborate with, and is also powerful enough to complete work end-to-end, striking a balance between it being independent but asking you for help when it needs it
It runs anywhere: I can use Exponent to debug an issue in my local development environment, while another instance of Exponent can run within a Github actions pipeline which auto-fixes my type check errors, without needing any other tooling.
It has a clean, intuitive interface which shows me exactly what the agent is doing instead of obfuscating it
We first got some attention after collaborating with OpenAI on one of their API features last year, and we're ready to open to a wider audience.
You might like Exponent too if you want to improve at collaborating with AI instead of just being a passenger, if you want a consistent experience across environments, or if you use prosumer software like Raycast or Linear.
If you're not sure where to begin, pick the next task off of your to-do list, take a look at our docs here, or try a task you've been unsatisfied using other tools for.
Start using Exponent, the collaborative AI programming agent here: https://exponent.run/.
And if you’re on an engineering team that is being practical about adopting AI tooling to move faster, you’ll probably be interested in Exponent for Teams: https://www.exponent.run/teams
About Exponent on Product Hunt
“A programming agent that runs anywhere, from local dev to CI”
Exponent launched on Product Hunt on April 2nd, 2025 and earned 328 upvotes and 14 comments, placing #6 on the daily leaderboard. Exponent is a highly capable AI agent that collaborates on any software engineering task from exploration to deployment. Early users have been using Exponent to debug Docker, write SQL queries, automate incident response, and much more.
On the analytics side, Exponent competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Exponent performed against the three products that launched closest to it on the same day.
Who hunted Exponent?
Exponent was hunted by Rajiv Ayyangar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Hey Product Hunt!
I'm Sashank, and we're excited to launch Exponent, a highly capable AI programming agent that collaborates on software engineering tasks in any environment.
After building and using many AI coding tools, we repeatedly found the same problems and limitations:
They are restricted to a single surface like an IDE, even though engineering work happens in many places
Behavior is opaque and you can't tell what they are doing and where they are going wrong
They go off the rails and are difficult to steer
We built Exponent to be the AI programming agent that we would want to use by focusing exclusively on a collaborative, agent-first experience:
It feels great to collaborate with, and is also powerful enough to complete work end-to-end, striking a balance between it being independent but asking you for help when it needs it
It runs anywhere: I can use Exponent to debug an issue in my local development environment, while another instance of Exponent can run within a Github actions pipeline which auto-fixes my type check errors, without needing any other tooling.
It has a clean, intuitive interface which shows me exactly what the agent is doing instead of obfuscating it
We first got some attention after collaborating with OpenAI on one of their API features last year, and we're ready to open to a wider audience.
You might like Exponent too if you want to improve at collaborating with AI instead of just being a passenger, if you want a consistent experience across environments, or if you use prosumer software like Raycast or Linear.
If you're not sure where to begin, pick the next task off of your to-do list, take a look at our docs here, or try a task you've been unsatisfied using other tools for.
Start using Exponent, the collaborative AI programming agent here: https://exponent.run/.
And if you’re on an engineering team that is being practical about adopting AI tooling to move faster, you’ll probably be interested in Exponent for Teams: https://www.exponent.run/teams