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The complete coding classroom, from assignment to grade — automated.

Plagly Classroom is everything you need to teach code: distribute assignments, let students submit in a browser-based IDE, auto-validate code against your test suite, detect AI-generated submissions, grade with rubric-based feedback, and track class-wide progress and learning outcomes. One teacher dashboard, end-to-end.

classroom.plagly.ai/cs101/spring26
Prof. Vega
PV

Intro to Programming · Spring 2026

42 students enrolled · 8 assignments active · last sync 2 min ago

Submissions
186
▲ 24 this week
Awaiting Review
12
▼ 3 from yesterday
AI Flagged
7
▲ 2 new today
Avg Originality
94%
— unchanged
Recent Submissions View all →
Student
Assignment
Tests
AI Score
Plagiarism
Status
AK
Aiko Kobayashi
2 min ago
Lab 06: Recursive sort
20/20 8% 0% Graded · A
MD
Marcus Devlin
14 min ago
Lab 06: Recursive sort
20/20 92% 34% AI Flagged
SP
Soraya Patel
42 min ago
Project: Linked-list playground
17/20 48% 3% Needs Review
JR
Jordan Ramírez
1 hr ago
Lab 05: Binary search
18/20 14% 0% Graded · A-
EC
Emma Chen
2 hr ago
Project: Linked-list playground
12/20 61% 2% Discuss

Teaching code in 2026 just got harder.

Generative AI changed what student submissions look like overnight. Plagly Classroom gives you the tools to keep up — without becoming a part-time forensic analyst.

Drowning in submissions

Forty students, six labs a semester, files scattered across email, GitHub, and a shared drive. Plagly Classroom collects everything in one queue with auto-rubric grading.

AI-generated code, every day

GPT-5 and Claude can solve your homework in 12 seconds. The built-in CODEXA detector flags AI-generated code at 99% accuracy with per-line confidence, so you spot it during grading — not weeks later.

Hours of manual cross-checking

Comparing student code against StackOverflow, GitHub, and last year's submissions used to eat your weekends. Plagiarism scans run automatically against billions of indexed sources.

No insight into class progress

Which topics did the class actually master? Where are students slipping? Plagly's analytics surface learning-outcome mastery, at-risk students, and difficulty calibration — so your next lesson is informed, not guessed.

The whole coding-classroom workflow, in one tool.

Distribute assignments, collect submissions, validate code, detect AI, grade, and analyze — all from a single dashboard built specifically for computer science educators. Not a generic LMS pretending to handle code.

Distribute assignments in seconds

Push assignments to your whole roster with one click. Starter code, test cases, time limits, and rubrics are all version-controlled and reusable across semesters.

Student submission portal

Students open the assignment, write their solution in a per-student Monaco workspace, run sample tests, and submit — all in one browser tab. Attempt limits, late penalties, and re-submission policies are configurable per assignment.

Automated code validation

Every submission auto-runs your hidden test suite, applies syntax checks, measures cyclomatic complexity, runs style linting (PEP 8, ESLint, Checkstyle), and enforces runtime and memory limits. Grades reflect code quality, not how fast you can click "run".

AI detection on every submission

CODEXA.plagly.ai scans every submission against GPT-5.4, Claude Opus 4.6, Gemini 3.1, Llama 4, DeepSeek, and Grok 3. Per-line confidence scoring and source-model attribution surface exactly which lines are suspect.

Plagiarism scanning, built in

Cross-check submissions against billions of indexed pages — GitHub, StackOverflow, public gists, prior student work — and get a single originality score with linkable sources for evidence-based conversations.

Rubric grading & inline feedback

Define rubric criteria once and Plagly suggests scores based on tests and AI signals. Override anywhere. Drop inline code comments students see in their own editor. Grades sync back to Canvas, Moodle, or Google Classroom — no spreadsheets.

Class progress analytics

Grade trends over time, learning-outcome mastery per topic, at-risk student early-warning indicators, and assignment-difficulty calibration. See where the class struggles before the midterm tells you.

LMS & SSO integration

Roster-sync with Canvas (LTI 1.3), Moodle, and Google Classroom. Push grades back to the LMS gradebook. Single sign-on via Google, Microsoft, or Clever. Students log in with credentials they already use.

1. Author

Publish an assignment in under 60 seconds.

Type a description, drop in starter files, paste your test cases. Set a due date, choose a rubric. Hit publish and every student gets a personalized workspace pre-loaded in their browser — no setup, no GitHub repos to clone, no IDEs to install.

  • Per-student isolated Monaco workspaces
  • Starter code, fixtures, and hidden test cases
  • Reusable assignment templates across semesters
  • Late-policy rules: cutoffs, penalties, grace periods
Active Assignments · CS 101
Lab 06: Recursive sort
Published 3 days ago · due Fri 5pm
31 / 42
Project: Linked-list playground
Published 1 week ago · due Mon 11:59pm
18 / 42
Lab 07: Hash tables
Scheduled for next Mon
— / 42
Lab 05: Binary search
Closed last Mon · graded
42 / 42
2. Submit

Students submit code directly in the browser.

No more email attachments or GitHub repos that break the moment a student forgets to commit. Students open the assignment, write their solution in a Monaco workspace, run it against your sample tests, and submit — all in one tab. Late penalties, attempt limits, and re-submission policies are configurable per assignment.

  • Per-student isolated workspaces, auto-saved continuously
  • Configurable attempt limits and late-penalty curves
  • Live sample-test running before submission
  • File uploads for multi-file projects and datasets
  • Version history so students can revert mistakes
Lab 06: Recursive sort
Due Friday 5pm · attempts remaining
2 / 3
1# recursive_sort.py
2def quick_sort(arr):
3  if len(arr) <= 1:
4    return arr
5  pivot = arr[len(arr) // 2]
6  left = [x for x in arr if x < pivot]
7  mid = [x for x in arr if x == pivot]
8  right = [x for x in arr if x > pivot]
9  return quick_sort(left) + mid + quick_sort(right)
Run sample tests Submit solution
3. Validate

Every submission auto-runs against your test suite.

Within seconds of submission, Plagly executes your hidden test cases, runs syntax and style checks, measures cyclomatic complexity, and enforces runtime and memory limits. Every student gets the same automated baseline — your grading reflects code quality, not how fast you can click "run".

  • Hidden & visible test cases with pass / fail / error breakdown
  • Style linting (PEP 8, ESLint, Checkstyle, RuboCop, gofmt)
  • Cyclomatic complexity and performance benchmarks
  • Runtime + memory limits with automatic timeout
  • Re-runs on every resubmission, fully isolated and reproducible
Validation Results · Lab 06
recursive_sort.py · ran 2.1s ago
test_empty_array
0.02s
test_single_element
0.01s
test_handles_duplicates expected [1,2,2,3] · got [1,2,3]
0.03s
test_large_array_perf
0.45s
Tests
3 / 4
Style
92 / 100
Complexity
O(n log n)
4. Detect

Spot AI-generated code line by line.

Every submission is run through CODEXA.plagly.ai automatically. You get a holistic score, a likely source model, and — most importantly — a heatmap showing which lines were generated. Plagiarism scans against billions of pages run in parallel. Have evidence-based conversations with students instead of accusations.

  • 99% accuracy across GPT-5.4, Claude, Gemini, Llama, Grok
  • Per-line confidence scoring and source-model attribution
  • Plagiarism cross-check against GitHub, StackOverflow, prior cohorts
  • Detection thresholds you control per assignment
  • Audit trail for academic-integrity proceedings
Marcus Devlin · Lab 06
recursive_sort.py · scanned 2 min ago
92%
Likely AI-generated
Source model: GPT-5.4 · confidence 96%
Plagiarism: 34% match (GitHub.com/topsorts)
12def quick_sort(arr):98%
13 if len(arr) <= 1: return arr94%
14 pivot = arr[len(arr) // 2]96%
15 left = [x for x in arr if x < pivot]91%
5. Evaluate

Grade with a rubric. Add inline feedback. Done.

Open a submission and Plagly's rubric panel shows you suggested scores per criterion — informed by the automated test results and AI/plagiarism signals. Override anywhere. Drop inline comments directly on lines of code; your feedback shows up in the student's editor when they review.

  • Rubric-based scoring: correctness, style, efficiency, documentation, tests
  • Auto-suggested grades you can adjust line by line
  • Inline code comments students see in their own workspace
  • Reusable feedback templates ("This is a classic off-by-one…")
  • Grade pass-back to Canvas, Moodle, or Google Classroom
AK
Aiko Kobayashi
Lab 06: Recursive sort · submitted 2 min ago
A · 94
Correctness
18 / 20
Code style
19 / 20
Efficiency
19 / 20
Documentation
18 / 20
Tests passed
20 / 20
6. Analyze

See where the class struggles. Adjust your next lesson.

Plagly's analytics show you what's working and what isn't — across the whole class, per assignment, per learning outcome. Spot at-risk students before they fail. Identify topics that need a reteach. Export PDF reports for your department or accreditation audit. Grades sync back to your LMS at the same time.

  • Class grade trends over time, per assignment and overall
  • At-risk student early-warning indicators
  • Learning-outcome mastery tracking per topic
  • Assignment-difficulty calibration based on cohort performance
  • One-click PDF reports for department meetings & accreditation
  • Grade pass-back to Canvas, Moodle, Google Classroom
Class Progress
Spring 2026 · last updated 2 min ago
Avg Grade
84.2
▲ 3.1 vs last term
Completion
89%
▲ 5% this week
At-Risk Students
4
flagged for review
AI-Flagged
7
12 disputed → 5 confirmed
Class average over 12 weeks Week 1 → Week 12
Learning-outcome mastery
Loops & conditionals
94%
Functions & scope
81%
Recursion
62%

Simple pricing for educators.

One flat monthly rate. Unlimited students. No per-seat fees, no surprise overages.

For Educators

Teacher

Plagly Classroom + Codexa AI for your entire roster.

$19.90 / month
  • Unlimited students & coding assignments
  • Student submission portal with auto-save & version history
  • Automated code validation (tests, style, complexity)
  • CODEXA.plagly.ai detection on every submission
  • Plagiarism scanning against billions of pages
  • Rubric grading with inline code feedback
  • Class progress analytics & learning-outcome reports
  • Codexa AI code generation & explanation
  • Canvas, Moodle & Google Classroom integration
  • FERPA-compliant data handling & DPA
  • Email + chat support · response within 24h
Join now

Questions teachers ask.

Don't see yours? Email hello@plagly.ai and we'll get back within 24 hours.

Plagly Classroom handles the entire coding-assignment lifecycle in one teacher dashboard: author assignments with starter code, hidden tests, and rubrics; students submit in a per-student Monaco workspace right in the browser; submissions are auto-validated against your test suite with style and complexity checks; AI detection and plagiarism scanning run automatically; you grade with a rubric and inline feedback; and class analytics show you grade trends, at-risk students, and learning-outcome mastery per topic. Grades sync back to Canvas, Moodle, or Google Classroom.
Every submission auto-runs the moment a student submits. Plagly executes your visible and hidden test cases in an isolated sandbox, runs syntax and style linting (PEP 8, ESLint, Checkstyle, RuboCop, gofmt), measures cyclomatic complexity, and enforces runtime and memory limits. Pass/fail results, style scores, and complexity metrics appear on the submissions table within seconds — no manual "run" clicks required.
Students open their personalized assignment workspace from the class roster, write code directly in Plagly's Monaco-powered editor, run sample tests, and submit — all in one browser tab. They can attach multiple files for projects, resubmit until the deadline (subject to your attempt-limit and late-policy settings), and auto-save guarantees they never lose work. No GitHub repos to clone, no IDE to install.
Plagly suggests grades automatically based on your rubric, test pass-rates, and AI-detection signals. You open each submission, review the suggested scores per rubric criterion (correctness, style, efficiency, documentation, tests), and override anywhere you disagree. Drop inline comments directly on lines of code — students see them in their own editor when they review. Final grades sync back to your LMS gradebook in one click.
The analytics dashboard shows class-wide grade trends over time, completion rates, average originality scores, at-risk student early-warning indicators, and learning-outcome mastery per topic (e.g., "62% of class has mastered recursion"). It also calibrates assignment difficulty based on cohort performance — so you can see whether Lab 06 is just hard, or whether you need to reteach the concept. PDF reports are one click for department meetings, accreditation audits, or self-improvement.
Yes. The built-in CODEXA.plagly.ai detector identifies code generated by GPT-5.4, Claude Opus 4.6, Gemini 3.1, Llama 4, DeepSeek, and Grok 3 with 99% accuracy. Every submission gets a holistic score plus per-line confidence so you can see exactly which sections were AI-generated. Plagiarism scans against billions of indexed pages run in parallel.
Plagly Classroom is included in the Teacher plan at $19.90/month for unlimited students and assignments. There are no per-seat fees. Institutional volume pricing for departments and school districts is available — contact sales@plagly.ai for a quote.
Plagly Classroom integrates with Canvas (LTI 1.3), Moodle, and Google Classroom out of the box for roster import, single sign-on, and grade pass-back. We add new integrations each semester — Blackboard, Schoology, and D2L Brightspace are on the public roadmap.
Yes. Plagly acts as a "school official" with legitimate educational interest under 34 CFR § 99.31(a)(1)(i)(B). We sign FERPA-compliant Data Processing Addendums on request, and student records are processed only under the instructions of the educator's institution. Full details in our Privacy Policy.

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