I’m in Portland, Maine, and I’ve been poking at a small Litecoin wallet tool in my spare time. Nothing serious, just a learning project. I currently switch between VS Code and whatever AI editor happens to be installed, and I’m trying to settle on one setup for 2026 rather than jumping around.
The part I keep going back and forth on is how much context these AI coding agents actually retain across a multi-file project. For a small script it’s great, but once I’m dealing with transaction handling and a few loosely connected modules, the suggestions get shakier. I don’t want to spend more time correcting generated code than writing it myself.
My main concern is picking something that won’t break my workflow when the tool updates or changes pricing. I’m not looking for a rundown of every option, just how people in this section handle their editor choice for crypto-adjacent code. What’s been working for you? Does the AI part actually help with Litecoin-related logic, or do you mostly lean on it for boilerplate?
The multi-file context issue is probably the first thing to test before settling on an AI editor. An agent may understand a function perfectly well but miss how another module calls it or what assumptions the rest of the wallet code relies on. That can produce changes that look correct in isolation and cause problems once the pieces are connected.
For transaction-related code, every generated change needs to be checked against actual test cases. Signing, fee calculation and transaction broadcasting leave little room for assumptions. Keeping project instructions and module interfaces in files the agent can refer to is also more reliable than expecting it to remember every detail from a long chat.
Editor choice comes down to how well it works with the whole repository, how easy it is to inspect changes and whether its pricing and usage limits are predictable. Model quality matters, but it won’t compensate for an agent that loses track of the codebase.