Pull request review
Today
The pull request waits for a senior reviewer to be available.
With the UPX AI Agent
The agent reviews on open and calls in a human only for what requires an architecture decision.
UPX AI Agent · Developer
AI agent, built to run inside your pipeline
Reviews pull requests, triages scanner findings and bumps dependency versions inside the repo and pipeline you already use. You define what it does on its own, and revoke it whenever you want.
+1,400 integrations available
One agent. Different operations.
Connect your company systems and define what the agent can consult, decide and execute. See examples of processes that can be automated.
Vulnerability triage
Today
The scanner produces hundreds of findings with no indication of what is exploitable.
With the UPX AI Agent
The agent separates the exploitable from the noise and describes the execution path.
Dependency update
Today
The bump sits still because no one knows what it breaks.
With the UPX AI Agent
The agent bumps the version on a branch, runs the tests and reports what failed.
Incident investigation
Today
The investigation starts by piecing together logs, alerts and deploy history by hand.
With the UPX AI Agent
The agent builds the timeline and correlates it with the last change shipped.
Integrations
Connected to the tools your team already uses
The agent reads data and runs tasks in the systems already in place, within the scope your company defines.
Your repository is a critical asset, and access to it is treated as such
Code does not become training
Your repository is not used to train models, nor shared across customers.
No production access
Secrets, credentials and customer data are out of scope. The agent works in a development environment.
Isolation
A dedicated environment per customer, with segregated network and credentials.
Auditable trail
Every read, suggestion and commit is logged, with author and approver identified.
Least privilege
A token per task and per repository, with permissions limited to what that flow requires.
Retention
You define how long context and history are stored, and delete them whenever you want.
Interface
It works where your team already is.
No new portal to learn. You ask, follow along and approve in the app that is already open. Scope, limits and audit trail are the same in every interface.
Telegram
Questions and approvals from your phone, with answers in natural language. Useful for people who decide away from their desk.
Slack and Teams
The agent replies in the team's thread, flags what needs attention and takes approvals in one click.
Discord
For teams that already operate there. Commands, alerts and approvals inside the squad's channel.
Web console
Where you configure the rules, set the autonomy level per task, review the audit trail and browse the full history.
Switching interfaces does not switch the rules. Same scope, same limits, same log in all of them.
Security by default
The limits don't change with the level.
UPX treats every access to real systems as a privileged credential. You change the autonomy; isolation, traceability, safeguards, and scope remain in force across all four levels.
Start free. Scale when you need more.
Choose the plan that matches the pace of your operation.
Team
US$ 100/ month
One shared AI employee for your entire team.
Click to see all available plans.
Everything on the platform, plus:
- Create up to 1 AI agent.
- 40,000 shared credits per month; increase them as your usage grows
- Shared across your entire workspace
- Unused credits roll over to the next month
- Add credits on demand when a major project comes up
- Automatic top-ups with a monthly spend cap
*The 7-day free trial is available exclusively on the US$ 100 plan. All other plans start with immediate subscription.
Frequently asked questions
Common questions about the Developer Agent
What engineering teams usually ask before putting an agent to work.
Who has access to what the agent processes?
Access is restricted to the UPX operations teams assigned to your contract, with an audit log of every access. UPX runs its own SOC, with no outsourcing. Whoever accesses your operation is accountable for it.Who operates the Secure AI Agent after deployment?
Operation is run by UPX's own SOC, 24/7, under the Managed Operation model. Nothing is handed off to third parties. Whoever operates is accountable.Does the agent act on its own or is there human oversight?
You define the level of autonomy. The agent can execute actions within the agreed limits, and higher-impact actions go through validation by the operations team before execution.How do I set the limits of what the agent can and cannot do?
Limits are defined in the agent's configuration: which actions it executes, which require validation and which are out of scope. These limits are operating rules, not suggestions.Can I audit the agent's decisions and actions?
Yes. Every action the agent takes is logged, with an audit trail available for review. You have visibility into what was executed, when and under which criteria.How is it different from a generic AI assistant?
A generic assistant answers questions. The Secure AI Agent operates inside your infrastructure, under defined security rules, with UPX's own SOC behind it. The difference is not the AI model, it is who operates and answers for it: over 20 years in critical infrastructure, with security as the rule, not a module.Do I need to know how to code?
In self-managed, no: setup is done through the interface. In managed, development and integrations are handled by UPX.Who defines what the agent can do?
The company, always. Tasks, access, limits and human approval points are set in the agent's design, by you in the interface, or with UPX guidance in the managed model.Do I need to replace the systems the company already uses?
No. The agent works on the systems that are already part of the operation, subject to the feasibility of each integration.Which tools can be connected?
The available integrations are the same in both models. In self-managed, you connect through the interface. In managed, UPX assesses feasibility and executes the integrations defined in scope.How soon can it start operating?
In self-managed, it depends on how long your team takes to connect the tools and configure the rules. In managed, the timeline is defined after the diagnostic, based on scope, integrations and the level of customization.Can I build my own skills?
Yes. You can combine your own skills with those in the UPX library. In managed, UPX also develops skills specific to the project.How will we know it worked?
The metrics are defined before go-live and compared against the initial scenario: execution capacity, time spent on the process and quality of the result. In the managed model, this definition is part of the diagnostic.Who operates the agent after it goes to production?
Configuration, rules and usage stay under the company's control in both models. In managed, UPX monitors performance and refines the agent according to usage and the limits set.What if the agent stops working?
UPX maintains the platform infrastructure and acts on technical outages. Configuration, rules and usage remain under the customer's control.Can we start with a single agent?
Yes, and that is the recommendation. Start with a process of clear impact and expand from the result.How many agents can I have?
As many as you need. Each agent is contracted individually and operates in its own environment.
Companies that trust UPX
Ready to put your agents to work?
Start free for 7 days* and see how an agent can operate within your company’s rules.
Start free for 7 days**Credit card required for activation. Free trial available exclusively on the US$100 plan.