EdisonFDE Field Notes
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ABOUT / EDISON

I write about the work behind the result.

Project stories often end up as a single results slide. The harder part—finding the real problem, earning cooperation, and agreeing on the rules—disappears. This site keeps a record of that work.

Why I write about both software and business

I started in enterprise backend development and later moved into customer-facing delivery. Customers rarely arrived with a complete requirements document. They had a business goal; engineers needed clear inputs and constraints; the business team needed something it could test quickly.

I learned to ask how the work gets done today, where people rely on manual workarounds, and what would count as a useful first result. Only then do I decide what to build and who needs to confirm each rule.

On this site, forward-deployed engineering (FDE) names that way of working: stay close to the operating context, define the problem with the people involved, and follow the change through to everyday use.

Working in a capital-intensive business changed how I evaluate plans

In 2022 I worked on a solar-energy venture, coordinating with local authorities, commercial partners, and suppliers. It was a capital-heavy business shaped by policy, partners, and field conditions at the same time.

That experience clarified where I can contribute most: manufacturing settings where I can combine software, digital channels, commercial judgment, and cross-functional coordination instead of working in one narrow specialty.

Four questions I keep working on

A problem no one has named yet

How to tell when a recurring workaround is costly enough to justify a project.

AI in an existing workflow

Start with the part of the workflow that fails, then decide what kind of system—if any—belongs there.

Factory data that never leaves the shop floor

Connect shop-floor input, calculation rules, and management reporting without making the work harder for operators.

Export inquiries the company is not ready to handle

Connect the website and buyer conversations to reliable product information, logistics, and quotation work.

How I report evidence

I separate what happened, what I inferred and what has not been measured. A search-index snapshot is not a sales result. An inquiry is not an order. Without a dependable before-and-after measure, I do not publish a percentage improvement.

That makes the case less dramatic, but more useful if you want to know whether the method could work elsewhere.

Where to start

Read: what I look for when nobody has asked for a system ↗

Case: connecting the data behind WeChat reporting ↗

If you have a concrete problem, see how we can work together ↗

Edison