Port
17 Case Studies
A Port Case Study
dLocal, a global FinTech company that processes payments for major corporations, faced a significant challenge with scattered and outdated information across its engineering systems. This context problem created bottlenecks as engineers spent excessive time onboarding and stitching together data, a issue CTO Alberto Almeida knew would be exacerbated by the introduction of AI agents. They partnered with Port and its Agentic SDLC Platform to establish a single source of truth.
The solution involved deploying the Port platform as a foundational harness to unify all engineering context. On top of this, dLocal built an AI agent called dCoder. With Port providing the necessary context and guardrails, dCoder autonomously handles tickets from reading to deployment. The results for dLocal were substantial, including a 45% autonomous ticket resolution rate, a 50% reduction in lead time, and a 20% increase in developer productivity for teams using the agent.