Secure AI Agent · Development
AI applied to
engineering work
A specialist configured to investigate errors, review changes, and prepare documentation within the rules, permissions, and repositories defined by your company.
Companies that trust UPX
Capabilities
What the Development Agent
can do
Main areas of work for the Development AI Agent in your operation.
Error investigation
Read error messages, logs, and context to point out likely causes.
Change review
Analyze pull requests and flag inconsistencies before human review.
Documentation
Turn code and project decisions into up-to-date documentation.
Technical tickets
Convert reports into complete tickets, with context and priority.
Repository queries
Answer questions about the code based on what is in version control.
Follow-up
Track open items and keep owners informed about progress.
Skills
Capabilities that compose the specialist
Skills add specific capabilities to the Secure AI Agent according to the processes it needs to execute.
- Error investigation
- Reads error messages, logs, and context to point out likely causes.
- Pull request review
- Analyzes changes and flags inconsistencies before review.
- Documentation generation
- Turns code and project decisions into up-to-date documentation.
How it worksFrom report to fix,
From report to fix,
with review at every step
Connect your repositories, define what the agent can do, and let investigation and preparation happen within your team's limits.
- Connect repositories and tools
- The agent works where the team already commits.Connect repositories, issue trackers, and monitoring so the Secure AI Agent has access only to what it needs to execute each task.
- Ask for the work
- Talk to the agent in natural language.Request an investigation, a review, or documentation through the available channels. The agent understands the context, applies the configured skills, and follows the rules defined by the team.
- The agent prepares. The team approves.
- From request to delivery, with control.The agent queries the code, investigates, and prepares the material within the defined permissions. Merge, deploy, and technical decisions stay with the responsible team.
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02
03
Integrations
Connected to the tools that are part of your engineering
The Development AI Agent can query the code and run tasks in the systems your team already uses.
Flow
What goes in,
what the agent does, and what comes out
From the raw report to a diagnosis, following your team's rules and permissions.
Inputs
- Error reportIssue
- Execution logTXT
- ChangesDIFF
Processing
Secure AI Agent
Processing the task
- Read
- Correlate
- Investigaterunning
- Prepare
Skill appliedRules checked
Output
Completed
Diagnosis prepared
- Likely cause identified
- Relevant snippets cited
- Ticket ready for review
Control
You define how far the Agent can act
Different actions can operate with different autonomy levels, always within your team's rules.
- 1
Query
Reads the code and answers with the reference.
- 2
Prepare
Organizes the diagnosis and suggests paths.
- 3
Request review
Waits for validation from the module owner.
- 4
Execute
Performs the action within the defined limits.
Levels are configured per type of action, according to each company's policy. Production merges and deploys always stay under human approval.
Get started
Put a Secure AI Agent to work.
Start on the platform or choose the plan that fits the pace of your operation.
Security and compliance
Security that can be verified.
Certifications and attestations
UPX maintains SOC 2 Type II and ISO 27001, with independent audit over its information security controls.
Privacy and regulation
- LGPD
- Operations follow Brazil's Law 13.709/2018. In AI Agent contracts, UPX acts as data processor; the legal basis remains with your company.
- Zero Data Retention
- A product policy, not a certification: with compatible providers and configurations, processed content is not retained after execution.
- Retention and deletion
- The retention policy is defined by contract. Once the contract ends, data is deleted within the agreed period.
Frequently asked questions
Common questions about the Development Agent
What engineering teams usually ask before putting an agent to work.
Does the agent merge or deploy on its own?
Not by default. Higher-impact actions, such as merging to the main branch or deploying, stay under human approval. You define per task what it executes directly and what requires sign-off from an authorized person.Is our code used to train models?
No. Content processed by Secure AI Agents is not used to train UPX models or third-party models.Does it connect to our repository?
Yes. The agent works in the systems your team already uses, such as GitHub, GitLab, Bitbucket, Jira, Linear, and monitoring tools. Permissions define which repositories it can read and where it can execute actions.Does it write code instead of the team?
The agent prepares the first version and flags inconsistencies, but review and technical decisions stay with the team. The goal is to reduce reading and triage work, not to replace the judgment of whoever maintains the system.How does it handle credentials and secrets?
The agent operates with the permissions granted during setup and does not reach anything outside that scope. Secrets stay in the vaults and systems where they already live, without being copied into the agent's context.Can we audit what the agent did?
Yes. Every action is logged: what was queried, what was proposed, when, in which system, and under which permission. The history stays available for review and auditing.How long does it take to go live?
It depends on the systems involved and your team's rules. The starting point is mapping the routines that consume most time and configuring the agent for those, expanding the scope as results come in.
Secure AI Agent
Bring a Secure AI Agent to your engineering
Talk to our specialists and see how to adapt this AI Agent to your processes, systems, and needs.