Agentic Software Development
At Valerian, we pioneered Agentic Software Development — a paradigm where autonomous AI agents write, test, deploy, secure, and ticket software features with minimal human intervention, even while engineers sleep. By embedding engineering guardrails, automated quality assurance, and integrated deployment pipelines, we reduced traditional development cycles by an order of magnitude without sacrificing quality or security. This case study demonstrates how Valerian replicated an enterprise application that had taken 13 years to build and delivered it in just a few months.
Guardrails and Governance
To keep the AI agents safe, productive, and aligned with enterprise needs, Valerian embedded strong governance guardrails into the system. These included policy-based coding standards, security constraints, and automated drift detection mechanisms that corrected or rolled back deviations from approved designs. If an agent produced code that violated security or architectural rules, the system automatically intervened, allowing the client to trust autonomy without losing control.
Automated Testing and Security
Every feature generated by the AI agents triggered an end-to-end automated testing pipeline that included unit tests, integration tests, regression tests, and security validations. Coverage metrics and failure signals were continuously monitored, eliminating manual QA bottlenecks while maintaining rigorous reliability standards. Security scanning, dependency analysis, and least-privilege cloud configurations were applied automatically before any deployment reached production.
Deployment and Operations
All agent-generated code flowed through fully automated CI/CD pipelines that handled container builds, cloud provisioning, and progressive deployment strategies such as canary and blue/green releases. Built-in observability provided real-time visibility into performance, reliability, and anomalies once the system was live. Every AI action was also synchronized with the client’s ticketing system, automatically generating work items, status updates, and documentation without manual coordination.
Unheard of timelines
The project demonstrated that AI Agents can deliver production-grade enterprise software at unprecedented speed without sacrificing quality, security, or governance. By combining AI agents with disciplined guardrails, automated testing, and continuous deployment, Valerian enabled its client to modernize at scale and fundamentally change how they build and operate software, replicating an enterprise system in only 3 months.
