Should I vibe code
AI coding assistant integrated with GitHub and editors
Completion is an API call. Completion that is right often enough to trust is a product.
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Their verdict, the Pro price and the build-time estimate come from their entry, MIT-licensed. Checked 2026-08-03.
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Our verdict, the regret score and everything below it. Editorial and unsponsored — nobody can pay to be moved.
The honest answer
why the verdict is what it is
Wiring a model into your editor is an evening. The difference between that and something you leave enabled is latency, context selection and knowing when to stay quiet.
What actually breaks
not "if". the specific failures.
- Latency, because an inline completion that arrives after you have typed the line is worse than no completion at all
- Context selection, which is the actual product — deciding what to send from a large repository within a token budget
- Cost per keystroke, since naive triggering turns an editor into a metered API call on every pause
- Editor integration, which is a different extension model with different threading rules in every editor
- Sending source to a model, which is a decision about your employer's or client's code that someone should make deliberately
It works well on the file you tested with. Then you open the real repository — four hundred files, a large one currently focused — and every pause sends the surrounding buffer to the model. Completions take two seconds, arrive after you have moved on, and each one costs a fraction of a cent that is now multiplying by your typing speed. You look at the bill at the end of the week and realise the tool cost more than the subscription it replaced, and you have been dismissing its suggestions unread because they are always late.
Is that you?
the verdict is a default, not a law
- It is invoked deliberately rather than firing on every pause
- It runs against a local model where latency and cost are yours to control
- You are experimenting with context strategies rather than trying to match a mature product
- Completions fire automatically with no debounce or budget
- You are sending client or employer code to a third party without permission
- Latency is above a few hundred milliseconds for inline suggestions
- You have not measured cost per hour of actual typing
If you build it anyway
the checklist, then the prompt that enforces it
- Measure latency first and set a budget — a few hundred milliseconds for inline. If you cannot meet it, make completion explicit rather than automatic.
- Debounce aggressively, cancel in-flight requests on new input, and cache aggressively. Most requests should never be sent.
- Build context selection deliberately: nearby symbols, imports, open files. Sending the whole buffer is both expensive and worse.
- Instrument cost per hour of real use and show it. This category's failure is economic as often as technical.
- Ask whose code this is before sending it anywhere, and make the destination visible in the editor.
- Accept suggestions explicitly. Never auto-insert on idle.
Before you build an AI coding assistant, apply these and push back if I ask you to break them. 1. Ask me whose source code this will read and where it will be sent. If it is an employer's or a client's, tell me that is a decision to be made explicitly, not by installing something. 2. Set a latency budget before writing the feature — inline completions need to arrive in a few hundred milliseconds. Measure it on my real repository, not a test file. If the budget cannot be met, make completion an explicit command rather than automatic. 3. Debounce input and cancel in-flight requests when I keep typing. Most keystroke-triggered requests should never reach the model. 4. Implement context selection deliberately — imports, nearby symbols, type definitions, recently edited regions — rather than sending the surrounding buffer. Tell me this selection is the actual product. 5. Cache completions by context hash and reuse them. 6. Instrument and display cost per hour of active editing. Report the number to me after a day of real use. 7. Never auto-insert a completion. It appears as a suggestion and I accept it explicitly. 8. Do not send file contents from paths matching gitignore, .env patterns, or anything containing credentials. Show me that filter. 9. Out of scope unless I ask: multi-file edits, agentic refactoring, chat, test generation.
That one keeps you out of trouble. For the prompt that actually builds it, canivibecodeit.com has one.
their build prompt ↗Or don’t build it
the boring option, and the way back out
$10 a month is one of the clearest buys on this list. The completion quality comes from context engineering and model access at a scale you cannot match, and the cost of a homemade version is frequently higher than the subscription once you measure it per hour.
$10/mo is cheaper than your weekend.
Keep the assistant behind an editor-agnostic interface and keep prompts and context-selection logic in version control, since those are the parts with any lasting value. Model providers change; the context strategy is what you would carry over.
Open-source coding assistant extension that connects to local or hosted models.
Questions
Why is context selection harder than it sounds?
Because relevance is not proximity. The useful context for completing a line is often a type definition three files away, a similar function elsewhere in the codebase, or the interface being implemented — while the two hundred lines directly above the cursor may be irrelevant. Choosing well within a token budget is where most of the quality difference lives.
Is a local model a realistic option?
For completion, increasingly yes, and it changes the economics entirely — no per-token cost, no code leaving the machine, latency bounded by your hardware rather than a network round trip. The suggestions are weaker than a frontier model's, but for a personal tool where you control the trade-off, it is the version that stays viable.
Every week, someone ships something they shouldn’t have.
New verdicts, the worst thing that landed in the trap, and the occasional incident report. No other email, ever.
Sure. Build the tool you are building it with. See you in eighteen months.
You are building a box that runs strangers’ code. That box is a cryptominer with extra steps.
Reselling access to a platform that does not want you reselling access is a business model with a countdown.
last reviewed 2026-08-03 · verdict is editorial and unsponsored · shared entry data from canivibecodeit under MIT · not legal advice