AI writes the code now — so why does it feel heavier, not lighter?
The bottleneck in AI coding moved from typing to reviewing and grounding. Here's what to build on VicroCode so the model stops regenerating 40k-word specs.
Evidence-based AI market signals, coding demand, and practical growth cases for builders.
The bottleneck in AI coding moved from typing to reviewing and grounding. Here's what to build on VicroCode so the model stops regenerating 40k-word specs.
A frontend dev stalled on connection boilerplate, not SQL. Here's how I moved the whole scaffold onto a hosted Python-over-SQLite endpoint so only the query logic stays.
A debrief on a one-day Feishu app build where setup ate the day. The movable half, collect to SQLite to HTML chart, loses the setup tax when the agent runs code online.
An AI agent fakes cross-platform work when nothing checks it. You can't test a native .exe on a Mac here, but you can give the portable logic a deterministic feedback loop.
Laravel banned issues to force complete reports. Here's how to rebuild that discipline as a hosted intake tool on VicroCode, with the honest limits spelled out.
AI writes the app in a weekend. The redeem backend behind device-bound codes is what you still have to build. Here's that durable core on VicroCode.
The fix for 'ugly AI prototypes' isn't a better model. It's a live hosted page where the agent writes HTML and an editable token table drives every style.
AI writes the file-handling script in seconds. The real failure is encoding drift between machines. Here's why hosting the script at a URL beats shipping it.
Running multiple coding agents in parallel is table stakes now. The hard part is tracking what each one touched — here's a hosted status board that solves it.