MX

AI Agent Engineer

> Rebuilding the full development workflow with AI

My main work is backend systems and user interfaces, while I also keep participating in frontend, CI/CD, product, design, and delivery workflows. I am continuously learning AI and integrating it into my workflow so requirement breakdown, solution design, coding, integration, deployment, and review become an iterative Agent-driven loop.

main craft Backend + UI
current shift AI Agent Workflow
resume ↗ Online Resume
profile://mx/agent-engineer
MX portrait
PORTRAIT_LOCKED MX

> role

name
MX
positioning
AI Agent Engineer
core
Backend · UI · AI Workflow
direction
AI-enabled software development flow
mx@workflow:~$

/ LOOP ENGINEERING WORKFLOW

Loop Engineering treats development as repeated cycles: define intent, load context, let agents execute, verify the output, and feed findings back into the next iteration.

intent · context · agent execution · verification · feedback
01 Intent Define intent

Translate goals into scoped tasks, acceptance criteria, risks, and constraints.

AI: clarify / decompose / plan

02 Context Load context

Provide codebase, docs, APIs, design references, data, and project rules.

AI: retrieve / summarize / align

03 Execute Agent execution

Generate code, UI, tests, scripts, docs, migration drafts, and implementation options.

AI: implement / refactor / document

04 Verify Verify output

Run tests, review diffs, inspect UI, and check security, performance, and edge cases.

AI: test / review / diagnose

05 Feedback Close the loop

Turn findings into fixes, prompts, specs, checklists, and reusable Agent skills.

AI: iterate / learn / automate

/ PROJECTS & WORKS