485 lab practicals,
graded by the compiler.
GroutCode ships the transcribed syllabus for seven universities and boards, with stepped lab lessons mapped to real course codes. You write the code; a real toolchain decides whether it passes; the model reviews it afterwards and tells you what breaks it.
485
lab lessons
738
courses transcribed
7
syllabuses
6
languages
Supported syllabuses
Pick the one that matches your scheme or regulation year.
KTU
74 lessons2024 scheme
The 2024 scheme for Kerala’s technological university, covering CSE, IT, AI & DS and ECE from semester three onwards.
B.Tech CSE / IT / AI & DS / ECE
VTU
105 lessons2022 scheme
Karnataka’s 2022 scheme across CSE, ISE, AI-ML, AI-DS and ECE, including the dedicated lab courses.
B.E. CSE / ISE / AI-ML / AI-DS / ECE
Calicut
91 lessonsCUFYUGP 2024
The CUFYUGP 2024 four-year honours programmes in Computer Science and BCA, from the first semester.
BSc Computer Science (Hons) / BCA (Hons)
CHRIST
79 lessons2021 regulation
The 2021 regulation B.Tech CSE programme, weighted towards Java and databases.
B.Tech Computer Science and Engineering
Joy
107 lessonsR2025
The R2025 B.Tech CSE (AI and ML) programme — the most Python-heavy pack, running from first year to final year.
B.Tech CSE (Artificial Intelligence and Machine Learning)
CBSE
13 lessons2026-27 curriculum
The 2026-27 CBSE curriculum for Computer Science 083 and Informatics Practices 065 — Python and SQL.
Computer Science (083) and Informatics Practices (065), Classes XI–XII
ICSE / ISC
16 lessons2026-27 syllabus
The 2026-27 CISCE syllabus — Computer Applications at ICSE and Computer Science at ISC, both in Java.
Computer Applications (ICSE IX–X) and Computer Science (ISC XI–XII)
How codelab works
The design decisions that make an AI lab tool trustworthy rather than convenient.
The compiler decides, not the model
A toolchain compiles your code and runs the tests. The model never issues the verdict, so it cannot tell you your code works when the compiler disagrees, or fail you for a style it dislikes.
8 to 15 checks per lesson
Each practical is stepped, with an instruction and a check per step. You find out which change broke what while you still remember making it, instead of getting one verdict an hour later.
Runs on a lab machine, offline
Lessons, syllabus and test runner are bundled. The compile-and-check loop needs no connection — only the review at the end uses a model, local or your own key.
Mapped to real course codes
A lesson belongs to a specific course code in a specific scheme, and the language is set per course rather than guessed from the title.
The problem with AI in a programming lab
Give a first-year student a chatbot and a lab sheet, and the lab sheet gets completed in four minutes. Nothing is learned, the submission is indistinguishable from a good one, and the student discovers in the end semester exam that they cannot write a loop.
Banning the tool does not work either — it is on their phone. So the question is not whether AI is in the lab. It is what the AI is allowed to do.
What we settled on
- The model may not produce your submission. It writes the lesson and the tests, before you start. What you hand in is what you typed.
- The model may not grade you. The compiler and the test runner decide. This is not a policy, it is the architecture — the model never sees the pass/fail decision.
- The model reviews. After the tests pass, it reads your code and names the input that breaks it. That is the job a test runner genuinely cannot do, and it is where a student actually learns something.
The result is a lab where using the AI makes you better at the subject instead of better at hiding. For the broader argument, see using AI for homework without cheating.
Frequently asked questions
Which university syllabuses does GroutCode support?+
GroutCode ships transcribed syllabuses and authored lab lessons for KTU (2024 scheme), VTU (2022 scheme), Calicut (CUFYUGP 2024), CHRIST (2021 regulation), Joy (R2025), CBSE (2026-27 curriculum), ICSE / ISC (2026-27 syllabus) — 738 courses and 485 lab lessons in total.
Are these the official syllabus documents?+
The syllabus is transcribed from the institution’s own published scheme documents, and the app records what was downloaded, from where, and its checksum. Always check the scheme or regulation year against your own — a 2022 scheme student should not be working from a 2024 one.
Does the AI write my lab program for me?+
No. Each lesson gives you a starter file with the signatures and the TODOs; you implement them. The toolchain compiles and tests your work, and only after the tests pass does the model read your implementation and tell you the input that breaks it. That order is the point: the AI reviews, it does not grade.
What languages are the practicals in?+
Python (141), C (138), Java (102), SQL (50), Node.js (39), C++ (15). The language is set per course code, because the same subject is taught in different languages at different institutions.
My university is not listed. Can it be added?+
Packs are added by transcribing the official scheme and then authoring lessons against the course codes that have practical work. If your institution is missing, get in touch with a link to the published syllabus.
Do I need a compiler installed?+
Yes, for the language your course uses. GroutCode detects which toolchains are present and tells you what is missing and what would fix it, rather than failing silently.
Your syllabus, with the checks built in
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