Can I vibecode OpenPTE?
KINDA · weekend projectThe mechanics of a PTE trainer are not hard: record audio, transcribe it, time the task, score against a rubric, keep a history. An agent can build that in a weekend using Whisper for transcription and an LLM for rubric feedback, and you will genuinely practice more because the loop is yours. What you cannot build is the part people actually pay for: a question bank that tracks what is currently showing up in the real exam, and a scoring model calibrated against Pearson's automated marker so the number you see means something. Your DIY grader will be directionally useful and numerically fictional. Good enough for drilling fluency and essay structure, not good enough to decide whether you are ready to book the test.
Build a local PTE Academic practice trainer. Empty folder, no accounts, no telemetry, no cloud database. Stack, non negotiable: Next.js 15 with the App Router, TypeScript, Tailwind, and SQLite via better-sqlite3. Everything runs with `npm run dev` on localhost. Secrets in .env.local only, read `OPENAI_API_KEY` and `OPENAI_BASE_URL`. Data: a `questions/` folder of JSON files, one per task type, each item having id, type, prompt text, optional imagePath, optional audioPath, timeLimitSeconds, and preparationSeconds. Ship 3 dummy items per type so the app runs before the user adds real content. Do not scrape or invent exam content. Task types to support: Read Aloud, Repeat Sentence, Describe Image, Retell Lecture (speaking, recorded), plus Summarize Written Text, Write Essay (typed), and Reading Fill in the Blanks (drag or select). Practice flow: pick a task type, get a random unattempted item, show preparation countdown, then the recording or typing window with a hard timer that auto-submits. Use MediaRecorder for audio, store the webm blob under `data/recordings/`. Scoring: for speaking, send audio to the Whisper transcription endpoint, then compute words per minute, filled pause count, and for Read Aloud a word level diff against the reference text. For writing, compute word count and run a rubric prompt. In both cases call the chat model with a task specific rubric that returns strict JSON: content, form, fluency, pronunciation or grammar, each 0 to 5, plus two sentences of feedback and three concrete fixes. Store the raw JSON. Label every score in the UI as "unofficial, uncalibrated" and never render a 10 to 90 style score. This is deliberate. History: an attempts table plus a dashboard with a per task type trend line, a list of past attempts with playback of the stored audio, and a CSV export. Out of scope: full mock tests, official score mapping, user accounts, payments, mobile apps, sync, and any bundled question bank. Deliver a README covering setup, how to add your own items to `questions/`, and a blunt paragraph on why these scores are not predictions.
$ open in your agent (prompt prefilled, you press enter) or copy it raw · this prompt is generated from the build plan · improve it via PR
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Because a test taker is not buying software, they are buying a number they can trust before they pay the exam fee. A prep platform's value is the item bank that mirrors what is currently in circulation and a grader tuned so a 79 on the practice test means roughly a 79 on the day. Both of those are accumulated data work, not code. A self-built trainer is great for volume practice and terrible for readiness signals, which is exactly the wrong half to have if you only get one shot at the visa cutoff.
xScores calibrated to the real automated marker, so your numbers are vibes, not predictions
xA question bank that is maintained and rotated as the exam changes
xFull mock tests with official section timing, weighting and score report layout
xModel answers, templates and community discussion around each item
xMobile apps, cross-device sync, and anyone to blame when the grader is wrong
Nothing worth pointing at. That's why the prompt exists.
Can I vibecode OpenPTE?
Kinda. The core of OpenPTE is buildable in a weekend with the prompt on this page, but there are real gaps: Scores calibrated to the real automated marker, so your numbers are vibes, not predictions, A question bank that is maintained and rotated as the exam changes. Read the honest list above before committing.
How much does OpenPTE cost?
OpenPTE costs about $17.99/month (Premium 30-day pass, checked 2026-08-18), which is $215.88 per year.
What do I lose by replacing OpenPTE?
Honestly: Scores calibrated to the real automated marker, so your numbers are vibes, not predictions; A question bank that is maintained and rotated as the exam changes; Full mock tests with official section timing, weighting and score report layout; Model answers, templates and community discussion around each item; Mobile apps, cross-device sync, and anyone to blame when the grader is wrong. If any of those are load-bearing for you, keep paying.
Is there an open-source alternative to OpenPTE?
No mature open-source alternative worth pointing at, which is exactly why the one-shot prompt on this page exists.