2026.6.12

Added
Coding interviews — practice live coding in the browser: editor, Run on public tests, Submit for evaluation, and a review page after the session; use docker compose --profile coding for code execution
Coding question bank — 33 Python language-focused tasks (junior: basics, strings, functions, control flow, exceptions, OOP, collections; middle: refactor, bug hunt, complete code, implement)
Changed
New interview setup — choose session mode (theory only, coding only, or both in sequence) and configure theory and coding topics separately on one screen
Fixed
First-time configuration — saving provider settings and downloading Whisper or Piper models works on a fresh install, including in Docker

2026.5.31

Added
Audio answers — per-model “Accepts audio input” in the LLM catalog, WAV upload API, and Record / Send controls on the interview page (Whisper + multimodal model)
Question banks — System Design; Kafka, RabbitMQ, Docker, Kubernetes, Observability, and Airflow tracks; expanded Python and Database categories (en/ru)
Alembic migrations on startup and optional DATABASE_URL for the application database
Changed
Interview setup uses track terminology instead of language; the last follow-up on a question advances immediately while AI scoring finishes in the background

2026.5.24

Optional per-round timer on interview setup — expired rounds score 0 and the session moves on
Voice input for answers — offline Whisper; download the model on /config
Question audio (optional) — Piper TTS reads questions aloud; enable and download a voice on /config
LLM model catalog in data/llm_models.json — API keys and model list live separately from data/config.json; pick the interview model on /config

2026.5.20

First release.

• AI interview sessions with WebSocket chat, scoring, and follow-ups
• Setup: language, level, topic, locale, question count
• Question banks: Python and Database/SQL (YAML)
• Dashboard, provider configuration, Docker Compose deployment