Some problems are too specific, too large, or too gnarly for a no-code block. Parsing messy formats, reconciling records across sources, heavy data processing, or logic with many branches and exceptions: that is where custom code wins.
I write these in Python and Node.js, with tests and monitoring, so the automation is reliable enough to build a business process on.
What you get
- Logic that no off-the-shelf block can do
- Reliable processing at real volume
- Tested, monitored, maintainable code
- A solution that fits the problem exactly
Deliverables
- Custom automation in Python or Node.js
- Parsing, reconciliation, and data processing
- Scheduling, logging, and alerts
- Documentation and handover
Common questions
- How do you decide between code and no-code?
- Whatever fits the problem. I start no-code and drop to code the first time the tool makes a simple thing hard. Often the best build is a hybrid.
Related work
This in the real world.
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