Agents write, review, and merge.
Task intake, environment, plan, code, PR, CI, merge—with budgeted agents and human review at the handoff point you choose. About 3,000 merged PRs a month from about eight engineers.
Solutions · Engineering Platform
Ship features and infrastructure with agents that write, review, and merge
Platform teams get a governed runtime where agents build applications, run workflows, and maintain infrastructure—while engineers review and own the code.
About 3,000 merged PRs a month. About eight engineers. A PR in staging every four minutes.
- Athena's Python library for PowerPoint
- athena-openpyxl
- athena-python-docx
- React SDK
- Public API with budgets
- Micro-VM sandboxes
- Deploy from Git
- Export to your GitHub
The challenge
Platform teams wait quarters to ship
The platform team knows what to build. Procurement takes a quarter. Security review takes another. The environment takes a ticket. By the time the sandbox exists, the model that justified it is two generations old.
Meanwhile every business unit is quietly building its own thing on whatever it could expense.
Give builders a governed place to ship. Then get out of the way.
How it works
Build, promote, deploy, and own the code
Build on a Computer. Boot from an Environment template with prewarmed sandboxes. Files, code, a database, a browser, a web server. Agents do most of the typing; you review the diff.
Promote to an Application. Immutable versions, staging URL, promote and roll back, custom domain, SSO-group access. Inside, the agent runs as each signed-in user.
Deploy from Git. Package agents, workflows, and applications; redeploy across workspaces from a repository. No click-ops.
Own it. Export the repo to your own GitHub at any time. Your builders, your code, our runtime.
Example workflow
Example workflow: Agent writes, reviews, and merges feature
Use cases
How engineering teams use Athena
Retrospectives at scale.
An agent read every PR from three months and proposed speed and security improvements. All implemented, tested, and pruned within days. Then: "find every place we have the same pattern and fix those too."
Self-healing infrastructure inside the customer's cluster.
Kubernetes monitoring and remediation with a PR at the end. Right-sizing took one service from 46 GB to 3 to 5 GB. Just-in-time, double-logged access replaced standing credentials.
Standardized use-case packages across offices.
Agents, workflows, and applications packaged and redeployed from Git across workspaces. Built for a global professional services firm's audit rollout.
SDKs that are drop-in.
from pptx import Presentation, from openpyxl import Workbook, from docx import Document. Same API; every mutation flushes to a live Studio with attribution. A React SDK embeds Athena in your product. A public API runs a workflow with a hard budget from one POST.
Testing as a real customer.
After an agent generated a connector, five browser sessions spun up with credentials to create a real account and test as a customer would.
Open source, credited.
Collaboration is built on Yjs. Agents file upstream issues for what they wish the library had; partner companies' agents implement them. We say who we build on.
What customers say
“I send that to the programmer and he said, alright. I read your file. I copied the section of the code because he has the right interface, and it works. Wow. Just like magic.”
“There's one thing that this platform did, which I've never seen any other platform do... it always keeps my continuity as I'm moving around... it automatically knows where all my documents are, knows where everything is, and knows where I was.”
“The developer platform that Athena comes up with [...] basically unlocks the next level engineering productivity.”
“We were able to replicate that in, like, five minutes, I think, which is pretty telling.”
“Probably nothing beats Athena in terms of its quality of output. Or thoroughness.”
“It's good to understand the capability of the platform. That how far, and how quickly you guys can get these things going [...] that has been impressive overall.”
“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”
“Use the Athena platform probably closer to the concept and how it was designed, like, with the spaces architecture where you've got a set of primitives and capabilities, and you bring together the right set of capabilities to solve a task.”
“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”
“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”
Verbatim from customer calls. Customers anonymized.
Platform
Engineering & Platform on one platform
Agents for the ad hoc: "why is this pod restarting." Workflows (Agent Operating Procedures) for the recurring: nightly smoke tests, dependency updates, access reviews. Applications for the many: the internal tools you would have built in a sprint, shipped in an afternoon.
Governance
Isolation, attribution, budgets, and deployment options
Micro-VM isolation, snapshots per message, computer mode for who may use terminals.
Every SDK and API action attributed to the key's owner; reversible.
Run budgets enforced at the runtime; fail-closed ledger.
Deploy in your cloud (AWS, GCP, Azure), on-prem, air-gapped, or GovCloud via Palladium.
What to plan for
The SDK is still expanding. Expect to file feature requests; we read them and often ship fixes the same day.
FAQ
What can AI agents do for engineering?
Write, review, and merge code, investigate incidents, maintain infrastructure, and keep documentation current.
Do engineers stay in control?
Yes. You decide which steps need a person, and every run is logged and attributable.
Can agents touch production?
Only through approved, time-bounded access that is logged.
Where should we start?
With a backlog of maintenance work the team keeps deferring.
One platform underneath
AGS · Athena Governance System
Records every change by a person or an agent, rolls back one contributor's edits without losing anyone else's, and keeps the model, instructions, and sources behind each agent action.
Palladium · deployment
How the platform is deployed: Athena's managed cloud, your cloud on AWS, GCP, or Azure, on-prem, air-gapped, or GovCloud. Same platform in every option.
How it fits together
Build, Work, and Data on top; 150+ connectors and every surface in and out; one map of the whole platform.
Related
Related products and stories
Athena Library
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