BUILT WITH 15 AI AGENTS
One conversation.
Fifteen specialists.
CodeMentor AI is built by a team of 15 specialized AI agents working in parallel — project managers, tech leads, lesson authors, an 18-language translator, QA, pedagogy curators, and three user-persona testers. The result: 1,300+ lessons across 10 tracks, all translated, all reviewed.
🧠 Leadership
Talks to you. Plans. Coordinates everything.
#1lead-pm
Project Manager — your single point of contact
The only agent that talks to Viktoriya. Translates RU directives into briefs, reports status with short yes/no questions, and never delegates the user-facing conversation downstream.
Read · Write · Edit · Bash
#2co-planner
Tech Lead — turns briefs into parallel work
Receives briefs from lead-pm, designs the technical plan, dispatches workers, and is the only one allowed to commit + push. Optimizes for parallel execution across doers.
Read · Write · Edit · Bash · Grep · Glob
🚀 Workers
Execute. In parallel. Don't debate scope.
#3doer-frontend
Next.js · React · TypeScript · Tailwind · i18n
Implements UI tasks dispatched by co-planner. UI components, pages, accessibility, i18n strings — never discusses scope.
Read · Edit · Write · Bash · Grep · Glob
#4doer-backend
FastAPI · Supabase · Postgres · API routes
Builds API routes, RLS policies, webhooks, DB migrations. Hard security checklist on every endpoint. No premature optimization.
Read · Edit · Write · Bash · Grep · Glob
#5lesson-author
Authors lesson batches in track-*.ts files
Reads existing track schema, appends N new lessons matching the file's exact style (READ+QUIZ vs Pyodide-runnable). Verifies with tsc before reporting done.
Read · Edit · Write · Bash · Grep · Glob
#6creative-senior-dev
Invents lesson formats that don't exist elsewhere
Code Detective. Time-Travel Refactor. AI Pair-Programmer-Reversed. Creates differentiators against LeetCode, Codecademy, freeCodeCamp.
Read · Edit · Write · Bash · Grep · Glob · WebSearch
🌍 Translator
Auto-fires after any content agent. 18 languages.
#7translator
Google free-endpoint chunked batch translator
Translates new lessons into 18 languages via translate.googleapis.com. Chunked for large content, jittered to avoid rate limits, runs unattended in the background.
Read · Write · Edit · Bash · Grep · Glob
🔍 Quality gate
Three filters every lesson must pass.
#8pedagogy-curator
Did the learner actually learn?
Checks difficulty curve, prerequisite chain, whether the lesson has an 'aha' moment, whether theory matches task. Blocks dry/boring/disconnected lessons.
Read · Bash · Grep · Glob · WebFetch
#9qa-controller
Build + i18n + security regression check
Runs tsc, build, and i18n coverage check. Verifies every language sees its own translation (no English fallback for RU/UK users).
Read · Bash · Grep · Glob · WebFetch
👥 User personas
Three AI-simulated personas. Three perspectives. Real friction surfaced.
#10persona-beginner
15-year-old ESL student, mobile-first
Plays through new lessons as a real teenage beginner whose English is a second language. Flags confusing jargon, dense theory, missing scaffolding.
Read · Grep · Glob · WebSearch
#11persona-career-switcher
32-year-old accountant, learning after work
Tired, motivated, time-boxed. Reports lessons that demand too much focus, demand context she doesn't have, or pace too fast for a 25-min evening study slot.
Read · Grep · Glob · WebSearch
#12persona-mid-dev
28-year-old Python dev, 3 years experience
Scans, doesn't read. Looks for depth. Defends L3-L5 tracks from content that's too shallow. Filters out things every senior dev already knows.
Read · Grep · Glob · WebSearch
💼 Business
Work on a cron schedule — distribution, legal, design.
#13growth-marketer
SEO · landing copy · Reddit · email · A/B tests
Owns distribution. Runs weekly. Tunes meta tags, writes hreflang-aware landing copy, suggests subreddits / HN / Twitter posts, plans 7-day drip emails.
Read · Edit · Write · Bash · WebFetch · WebSearch
#14legal-compliance
FTC · GDPR · CCPA · COPPA · PCI
Reviews every money flow BEFORE it ships. Critical for trial-then-auto-charge (FTC negative-option). Audits cookie consent, refund text, age gates, billing flows.
Read · Edit · Write · Bash · WebFetch · WebSearch
#15product-designer
UI / UX review and polish
Reviews screens, suggests interaction improvements, owns the visual polish on every new UI feature. Works through doer-frontend for actual edits.
Read · Edit · Write · Bash · WebFetch · WebSearch
What happens when you ask for 60 lessons
One request flows through 8 stages. Most run in parallel; total wall time is hours, not weeks.
1
You write Viktoriya
‘Add 20 lessons to the FastAPI track’
2
lead-pm receives it
Translates RU → brief: track / range / topics
3
co-planner plans
Splits into 3 parallel sub-tasks
4
3× lesson-author run in parallel
20 lessons each, ~1 hour total wall-time
5
translator fires automatically
18 languages, 3000+ translation jobs in the background
6
pedagogy + qa + 3 personas
Three independent quality filters
7
co-planner pushes to main
Vercel auto-deploys
8
lead-pm reports back
‘60 new lessons live, 18 languages, build green — anything else?’
Without agents vs with agents
WITHOUT AGENTS
- ✗1 lesson ≈ 30 min by hand
- ✗You translate manually, one language at a time
- ✗Single tester, single perspective
- ✗Design / legal / compliance — "later"
- ✗Content velocity caps out at ~5 lessons / day
WITH AGENTS
- ✓60 lessons in 1 hour — three parallel authors
- ✓18 languages translated automatically in the background
- ✓3 personas + pedagogy + QA — every lesson reviewed 5 ways
- ✓Cron-scheduled growth, legal, design — never "later"
- ✓Content velocity ≈ 60+ lessons / day, sustainably
Try what the team built
1,300+ lessons. 10 tracks. From Python basics to senior-level interview prep, FastAPI, AI engineering, and data science — in 18 languages.
Browse all 8 tracks →