Imagesoft Northwest

Human-led systems, agent-accelerated delivery

Chris Montgomery

I help teams turn Claude Code, Pi Coding Agent, Codex, Hermes, and other AI coding agents into disciplined engineering force multipliers for cloud platforms, Elastic observability, automation, and enterprise software delivery.

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  • Claude Code
  • Pi Coding Agent
  • Codex
  • Hermes
  • Agent workflows
  • Elastic Stack
  • Azure / AWS
  • Python automation

Professional summary

Senior engineering judgment, now amplified by agentic tooling.

The differentiator is not merely using AI tools. It is designing the constraints, context, review loops, and delivery systems that make them useful in real repositories.

I am a Software Architect, Elastic Engineer, and agent-engineering practitioner with deep experience designing, implementing, and optimizing complex data and cloud infrastructures. I use agent engineering tools such as Claude Code, Pi Coding Agent, Codex, Hermes, and complementary automation to accelerate migration, refactoring, documentation, observability, and quality workflows.

My approach combines 30+ years of enterprise engineering experience with practical agent orchestration: tight repository context, explicit acceptance criteria, test-first verification, Git-aware change control, and careful human supervision.

30+ Years engineering software, data, and infrastructure systems
2TB+ Daily ingest environments architected and operated
AI Agent-assisted development, reviews, migrations, and automation

Agent engineering toolchain

From chat prompts to production delivery systems.

I build practical workflows around AI coding agents: context engineering, tool selection, prompt patterns, safety gates, and verification routines that stand up to production work.

Agentic, but accountable.

Claude Code, Pi Coding Agent, Codex, and Hermes are most powerful when they are treated as engineering instruments: scoped tasks, durable context, measurable outputs, and continuous validation.

  • Context files
  • Subagent reviews
  • Verification loops
  • Prompt templates
  • Runbooks
CC

Claude Code and Codex workflows

Structured repo exploration, implementation passes, test repair loops, documentation updates, and architecture review prompts.

PI

Pi Coding Agent and Hermes orchestration

Project-local AGENTS.md guidance, skills, prompt templates, tool-aware sessions, and fit-for-purpose agent workflows.

QA

Verification-first delivery

Acceptance criteria, diagnostics, tests, diffs, deployment checks, and explicit residual-risk notes before changes are trusted.

OPS

Operational runbooks

Repeatable patterns for incident analysis, Elastic tuning, cloud automation, dependency upgrades, and migration planning.

Core skills

Project-backed skills from eCommercePlayer and steadOS.

The technology matrix now reflects hands-on stacks from eCommercePlayer and steadOS: modern Next.js product surfaces, Azure integrations, Python workers, legacy .NET modernization, mobile delivery, testing, observability, and agent-assisted engineering workflows.

Agent Engineering

Designing durable AI coding-agent workflows that improve throughput without sacrificing engineering standards.

  • Claude Code, Pi Coding Agent, Codex, and Hermes workflows
  • Repo context, AGENTS.md guidance, prompts, and guardrails
  • Verification loops with tests, diagnostics, and review

Modern Web Apps

Production product surfaces and admin portals built with current React and TypeScript ecosystems.

  • Next.js, React, TypeScript, Tailwind CSS
  • Radix UI, Lucide, next-intl, React Markdown
  • Recharts, TanStack Table, QR codes, PDFs

Cloud & AI Platforms

Azure-centered application infrastructure, AI integrations, messaging, storage, and deployment automation.

  • Azure OpenAI, AI SDK, App Configuration
  • Azure Service Bus, Blob Storage, Queue Storage
  • Azure Communication SMS, SendGrid, APNs

Data & Persistence

Relational data, ETL, analytics, and transactional systems across new and legacy architectures.

  • Prisma, PostgreSQL adapter, MSSQL
  • SQL Server, pyodbc, ETL pipelines
  • RabbitMQ, Kafka, Azure Service Bus

Automation & Workers

Background processing, platform automation, and migration work across Python, .NET, and containerized systems.

  • Python 3.12 workers, pytest, requests
  • .NET/C#, ASP.NET MVC/Web API, VB.NET
  • Docker, Docker Compose, GitHub Actions

Quality & Observability

Evidence-driven release practices that make agent-assisted delivery safer and easier to operate.

  • Playwright, Vitest, Testing Library, pytest
  • OpenTelemetry OTLP, PostHog, bundle analysis
  • iOS/Xcode, fastlane, TestFlight pipelines
Core skills matrix · project signals from eCommercePlayer and steadOS
Skill area Technologies and tools Project signal
Agent engineering Claude Code, Pi Coding Agent, Codex, Hermes, AGENTS.md context, prompt templates, scoped task loops, diff review, test repair, verification checklists. Portfolio + active agent workflowsapplies across both repos
Web product engineering Next.js, React, TypeScript, Tailwind CSS, Radix UI, Lucide React, next-themes, next-intl, React Markdown, remark-gfm. eCommercePlayer v2 · steadOS
Commerce and product ops Stripe, Clerk, PostHog, qrcode.react, React PDF, Recharts, TanStack Table, SendGrid, Apple Push Notifications. eCommercePlayer v2 · steadOS · admin portals
Cloud integrations Azure OpenAI, AI SDK for Azure, Azure App Configuration, Azure Service Bus, Azure Blob Storage, Azure Queue Storage, Azure Communication SMS. steadOS · eCommercePlayer workers
Data and persistence Prisma, PostgreSQL adapter, MSSQL, SQL Server, pyodbc, ETL, analytics/reporting pipelines, Elastic Stack observability data. steadOS · eCommercePlayer v1/v2
Delivery and verification Docker, Docker Compose, GitHub Actions, Playwright, Vitest, Testing Library, pytest, OpenTelemetry, fastlane, iOS/Xcode, TestFlight. steadOS · eCommercePlayer v2
Legacy modernization .NET/C#, ASP.NET MVC, Web API, Entity Framework patterns, VB.NET, worker services, SQL-backed enterprise applications. eCommercePlayer v1

Operating model

How I make agents useful in serious engineering environments.

The work starts with architecture and ends with evidence. Agents accelerate the middle, but production confidence comes from repeatable process.

Map the system

Capture architecture, constraints, deployment paths, data flows, and failure modes so agents operate with context.

Shape the prompt surface

Create context files, task templates, examples, and review criteria that turn vague asks into executable work.

Run constrained loops

Use Claude Code, Pi Coding Agent, Codex, Hermes, and automation in scoped edit-review-test cycles with visible diffs.

Promote with evidence

Ship only after tests, diagnostics, operational checks, and human review support the change.

Experience highlights

Enterprise depth behind the agent workflows.

AI agents are leverage. The foundation is decades of building, operating, and repairing real systems across enterprise, government, MES automation, and health-industry environments.

Education & certifications

Cloud, data, security, and Elastic credentials.

Formal credentials reinforce the operational foundation behind the agent-assisted delivery practice.

Master of Science, Data Analytics

Western Governors University · Graduated 2024

Bachelor of Science, Cloud Computing

Western Governors University · Graduated 2023

Elastic Certified Engineer Elastic Certified Observability Engineer Azure Developer Associate Azure Administrator Associate Azure AI Fundamentals AWS Solutions Architect Associate AWS Cloud Practitioner Google Cloud Professional Developer Google Cloud Associate Engineer Google Cloud Digital Leader CompTIA Security+ CompTIA Cloud+ CompTIA Network+ CompTIA A+ CCSP ITIL 4 Foundation LPI Linux Essentials

Contact

Need production-grade agent engineering?

If your team wants Claude Code, Pi Coding Agent, Codex, Hermes, and AI-assisted engineering to become a reliable delivery practice—not a risky experiment—let's talk.

chrismon@imagesoftnw.com LinkedIn