Context-Aware Code Completion
Finish what you started. Repair what just broke.
FiboCode uses your recent edits, cursor context, comments, and new diagnostics to suggest focused code changes while you work. A thicker, highlighted cursor shows when AI is thinking; you decide whether each completion or repair enters the code.
AI Editing runs on the model you select and may take time to respond. Actual wait time depends mainly on that model’s speed.
Small coding interruptions should not become separate AI tasks.
Writing code leaves short gaps: a comment describes the next block, a partial refactor misses a call site, or a rename breaks another file. Opening a chat and restating local context can take longer than the focused change.
FiboCode keeps assistance inside the editor. Recent edits, cursor movement, nearby code, comments, and new diagnostics limit suggestions to finishing active work or repairing evidenced errors. When signals are weak, it can return no suggestion.
Watch context-aware completion and proactive error repair in action.
These product recordings show the two real AI Editing workflows and follow your current website theme.
This demonstration shows an implementation comment, the thicker highlighted cursor while AI processes the request, one inline suggestion, and acceptance with Tab.
This demonstration shows new diagnostics after a refactor, the AI processing cursor, and reviewable single-file or cross-file repairs in AI Suggestions.
Stay in the editor from intent to reviewed change.
The completion path uses current editing evidence and leaves every change under developer control.
Express intent in the code you are editing.
Continue a comment or type on a line with an Error-level diagnostic. Nearby source and recent operations bound the request.
Pause while AI evaluates the evidence.
After the typing debounce—or when new errors settle while idle—the cursor becomes thicker and uses the theme color. It signals a request, not a guaranteed suggestion.
Inspect the suggestion in the right surface.
One current-file suggestion appears inline. Silent, multiple, or cross-file repairs move to AI Suggestions for separate inspection.
Accept only the changes you want.
Use Tab to accept inline or Esc to dismiss. In the panel, accept or reject items individually, or apply the reviewed set in order; FiboCode does not silently apply results.
Focused assistance grounded in the edit you just made.
Recent-operation context.
Edits, tab changes, cursor movement, and nearby source connect suggestions to your active work.
Diagnostic-backed repair.
Error-level diagnostics and new errors support repairs after a rename, move, or partial refactor.
Visible processing state.
The thicker, highlighted cursor exposes an in-flight AI request. It returns after success, no result, failure, or cancellation.
Review before application.
Inline and panel views keep edits inspectable. The developer decides on every suggestion and affected file.
Use case: finish a rename without chasing every broken import.
A developer renames a shared utility and continues editing the main call site. Language diagnostics reveal that two imports elsewhere still use the previous name. After the workspace becomes idle, FiboCode can use the recent rename and those new errors to propose focused repairs for the affected files.
The proposals appear in the AI Suggestions panel rather than being written immediately. The developer can verify each path and replacement, reject an uncertain item, and accept the remaining fixes in order before running the project checks.
A local editing aid, not a replacement for deliberate development.
Large coding tasks still benefit from specifications, plans, an Agent workflow, tests, and code review. This Feature addresses the smaller moments between those stages: completing an intent already visible in the file and repairing errors created by the work just performed.
That boundary preserves FiboCode’s broader focus on understanding and controlled change. Completion and repair make the editor more useful during hands-on coding, while codebase knowledge, traceable plans, and human review remain the system around each edit.
Context-aware completion FAQ
When does context-aware completion run?
The typing path runs after you pause while entering text inside a comment or on a line with an Error-level diagnostic. A separate idle path can react after newly introduced errors settle. Ordinary typing without one of those signals does not request a suggestion.
What does the thicker highlighted cursor mean?
It means an AI completion or repair request is currently being processed. It does not promise that a suggestion will appear, and the cursor returns to its configured width when the request finishes, fails, is cancelled, or produces no useful result.
Does FiboCode apply suggestions automatically?
No. You accept an inline suggestion with Tab or dismiss it with Esc. Suggestions in the AI Suggestions panel can be inspected and accepted or rejected individually, with an explicit reviewed action for a group.
What kinds of errors can it try to repair?
It focuses on errors supported by diagnostics and recent activity, such as broken imports, incomplete renames, type errors, lint findings, or unfinished code around the cursor. When the evidence is insufficient, the expected result is no suggestion.
Can a suggestion change another file?
Yes. Recent edits and newly added diagnostics can support focused cross-file repairs. Cross-file and multi-item results are shown in the AI Suggestions panel so every target remains visible before application.