AI Roadmap

Tell it what you want to learn.
Get the whole syllabus.

Not a template. Every roadmap is drafted for your subject, your starting point and the minutes you actually have — ordered so nothing depends on something you haven’t learnt yet, then served one honest list each morning.

Ask for anything

A language, a tool, a single data structure, an entire role. Type it in your own words — these are only examples.

DSA for interviewsJavaScriptSystem designDockerReactLinked listsSpring BootSQLKubernetesRustGoNetworking…or yours
Linked lists
7 days
4 chapters · 20 tasks

One data structure. Covered, then finished.

JavaScript
30 days
5 chapters · 89 tasks

A language, from values and scope to the DOM.

DevOps
42 days
6 chapters · 126 tasks

A whole role. Linux first, Kubernetes last.

All three were asked for with six weeks available. It takes the time the subject needs and then stops — padding one week of material into six teaches nothing.

This is your morning

One screen, today only. Run two plans at once and each keeps its own colour, so you never have to work out whose task you are looking at.

Today · Monday 3 Aug

4 to go

1 of 5
DSA for interviewsTwo pointers · day 15
SolveContainer With Most Water
Solve3Sum
JavaScript for frontend workAsync and the event loop · day 6
ReadMicrotasks vs macrotasks, and why a promise wins
PractiseRewrite a callback chain with async/await
PractiseCancel an in-flight fetch with AbortController
DSA for interviews
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done1 missed
62% done
34 of 55 tasks
11
days left
3
in backlog

What the AI is actually doing

Drafting a contents page, not a task list

It settles the chapters first and orders them by dependency — the shell before containers, containers before orchestration, values and scope before the DOM. A plan in the wrong order is useless however good the individual days are.

Sizing the subject honestly

The time you give it is a ceiling, not a quota. Ask for one data structure and you get a tight week; ask for a whole role and it uses every day you offered.

Reaching into our own problem library

Anything algorithmic is built from problems that already live here, so a task opens on the page where you watch the algorithm move — not a link to somewhere else.

Writing tasks you can start

“Learn Docker” is a heading. “Write a Dockerfile for a Node app and cut its image size with a multi-stage build” is something you can begin without deciding anything first.

You’re not doing this alone

Studying at eleven at night feels like studying alone. A live count of what everyone else has been doing sits beside your plan — problems solved, answers checked, backlogs cleared — refreshed every hour.

Counts only. No names, no leaderboard, nothing to lose to.

In the last hour

  • problems solved31
  • answers checked84
  • tasks ticked off57
  • learners joined12

across everyone learning here

Miss a day and nothing breaks

Unfinished work becomes backlog and waits, grouped by the day it was meant to happen. Nothing is rescheduled, nothing expires, and the plan keeps the shape you agreed to.

Your midnight, not a server’s

Days roll over at midnight India time, so the plan says the same thing whether you open it in Delhi or on a laptop three time zones away.

Built in about half a minute

Four questions, and you read the whole plan before it starts — delete what you already know, add what you want. Roadmaps are part of the paid plan, along with every pattern, the LLD track, networking and operating systems.