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Odisor Tech

Services

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I work with teams and organizations on a project-based or retainer basis, delivering end-to-end solutions across DevOps engineering, software delivery lifecycle automation, and Agentic AI. Every engagement is grounded in production-grade practices: version-controlled, auditable, and built to last.

DevOps Services
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Engineering-first DevOps built for security, scale, and reliability.

  1. Full Secured CI/CD Workflows

    Design and implement end-to-end CI/CD pipelines with security embedded at every stage. From automated testing and container scanning to secrets management, SAST/DAST integration, and compliance gates — pipelines that ship faster without compromising posture. GitHub Actions Azure Pipelines SAST/DAST Trivy OIDC

  2. Full Infrastructure as Code

    Provision and manage cloud infrastructure using Terraform, Ansible, and ARM Templates. Every resource is code-defined, git-versioned, and consistently deployable across development, staging, and production. Cloud-agnostic by design, Azure and AWS primary. Terraform Ansible ARM Templates Azure AWS

  3. Agentic DevOps

    Integrate AI agents directly into DevOps workflows. Autonomous code review agents that enforce standards, intelligent debuggers that diagnose and propose fixes, and SRE agents that monitor, alert, and self-heal infrastructure — reducing toil and accelerating incident resolution. Code Reviewer Agent Debugger Agent SRE Agent MCP

SDLC Services
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Accelerate the full software delivery lifecycle with structured environments and end-to-end automation.

  1. Sandboxed Development Environments

    Design and provision isolated, reproducible development environments for engineering teams. Each developer gets a consistent, cloud-backed workspace — containerized, pre-configured, and connected to shared services — eliminating "works on my machine" problems and onboarding friction. Dev Containers GitHub Codespaces Docker Kubernetes

  2. Agentic SDLC

    End-to-end software delivery orchestrated by AI agents. From PRD through SDD, technical specification, test-driven development, CI/CD pipeline setup, and production deployment — each phase owned by a specialized agent, coordinated by an orchestrator, with human gates at critical milestones. PRD → SDD TDD CI/CD Multi-agent orchestration Claude Code

Agentic AI
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Custom AI agents and plugins, engineered for real-world operational contexts.

  1. Custom Plugins Development

    Build MCP-compliant plugins that extend AI agents with domain-specific capabilities — connecting agents to internal APIs, databases, monitoring systems, cloud control planes, and proprietary tooling. Designed for composability, security, and interoperability across agent frameworks. MCP Tool integrations REST/GraphQL Python

  2. Custom Agents Development

    Design and build autonomous agents tailored to your operational needs. From single-purpose task agents to multi-agent systems with A2A communication — agents that reason, plan, and act within defined boundaries, integrated with your existing infrastructure and workflows. A2A Protocol Agentic AI LLM integration Edge AI

Let’s Work Together
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If your team is dealing with slow, fragile pipelines, manual infrastructure, or wants to explore what AI agents can realistically do in production — I’d like to hear about it.

Hernan Rosido
Author
Hernan Rosido
Agentic Engineering