GuideLearning
9 min read
Using AI in your studies raises three separate questions: what your institution allows, whether you are actually learning, and whether you can still do the work without it. This article gives you honest rules, warning signs of dependency and a personal AI-use agreement you can write in ten minutes.
GuideLearning
10 min read
Turn the notes you already have into questions, flashcards, practice problems and a revision schedule, with AI doing the preparation and you doing the remembering. Includes prompts, a worked example with a deliberate AI error, and a way to keep your cards accurate.
GuideLearning
11 min read
'Explain everything about this topic' produces a wall of text you will forget. This article shows a better loop: tell the AI what you already know, learn in layers, try problems yourself, ask for hints instead of answers, and test your understanding. With a full worked session.
GuideTechnology
11 min read
The first AI answer is a draft. This article teaches how to give feedback that actually improves it, how to ask the AI to critique and offer alternatives without being fooled by agreement, how to split big tasks into checkable steps, and when the real problem is not the prompt at all.
GuideTechnology
11 min read
Showing the AI one or two examples often beats three paragraphs of description. This article covers example-based prompting, choosing an output format, and requesting structured output such as JSON that a program or spreadsheet can use, with the checks that make it safe.
GuideTechnology
9 min read
The single biggest upgrade to AI answers is not a cleverer prompt. It is giving the model the right material to work from and making it show where each claim came from. This article teaches grounding, quote-first answers and how to handle long documents.
GuideTechnology
12 min read
A good prompt is not a magic phrase. It is a clear brief. This article shows how to state your goal, give context, set constraints and choose a format, and why each one changes what the AI produces.
GuideTechnology
10 min read
Instead of asking which AI product is best, ask which kind of AI fits the task. This article sorts today's tools into capability categories, explains what each is good and bad at, and gives you a method for testing tools on your own work.
GuideTechnology
11 min read
Hallucinations are not random glitches. They follow predictable patterns that you can learn to spot. This article explains why fluent AI answers can be false, where errors cluster, and which habits reduce them, with an honest account of what no habit can fix.
GuideTechnology
12 min read
You do not need maths to use AI well, but you do need a correct picture of what happens when you press enter. This article explains next-token prediction, training versus inference, tokens and the context window, and the practical habits each idea implies.
GuideTechnology
10 min read
AI, machine learning, deep learning, generative AI, LLM, chatbot, model, agent: the words get used as if they mean the same thing. They do not. This article draws one simple map so every later article makes sense.
GuideTechnology
12 min read
A free, 35-article course on using modern AI well: what it is, how to ask, how to check it, and how to build habits that survive the next product update. This first article explains what to expect and introduces the six-step Work Loop you will use throughout.
GuideTechnology
19 min read
How to prepare for campus placements and fresher hiring in India: aptitude rounds, online coding assessments with fast input and output, technical interviews, CS fundamentals, explaining trade-offs, debugging under pressure and discussing projects honestly.
GuideTechnology
18 min read
A realistic week-by-week plan for working through this course around college or a job: what to learn, implement, practise and revise each week, with timed sessions, mock interviews, a spaced-revision schedule, and lighter and more intensive alternatives.
GuideTechnology
24 min read
Build a small, complete Java project that uses many data structures together: a practice tracker with spaced-repetition reviews, undo, title autocomplete and a prerequisite-based study order. Requirements, design, milestones, test cases and extension ideas, with no paid services.
GuideTechnology
23 min read
A step-by-step routine for coding interviews: clarify, work examples, state a brute force, optimize, agree on a plan, code, test and analyze. Includes a full sample dialogue, advice on getting unstuck, and checklists you can use in mock interviews.
GuideTechnology
22 min read
What to do when prefix sums are not enough: Fenwick and segment trees for range queries with updates (optional depth), and disjoint set union with path compression and union by size for connectivity, cycles and Kruskal's algorithm (the part worth knowing).
GuideTechnology
19 min read
A trie stores words so that shared prefixes share nodes, making insert, exact search and prefix search take time proportional to the word length. Build one in Java, compare array and map nodes, and use it for autocomplete, wildcards and shortest-prefix replacement.
GuideTechnology
21 min read
Apply the six-step DP workflow to climbing stairs, house robber, grid paths and the longest common subsequence. For each: state, transition, base cases, evaluation order, complexity and why it is correct, with full tables and reconstruction.
GuideTechnology
20 min read
Dynamic programming is recursion that remembers. Learn overlapping subproblems and optimal substructure, memoization and tabulation on Fibonacci, a repeatable six-step formulation workflow, and the coin change problem that greedy cannot solve.
GuideTechnology
24 min read
When BFS is enough and when it is not, Dijkstra's algorithm with a priority queue and its non-negative-weight limit, a glance at Bellman-Ford, and topological sorting with Kahn's algorithm and DFS for dependency order, including how to detect impossible orders.
GuideTechnology
24 min read
Vertices and edges, adjacency lists versus matrices, breadth-first and depth-first search, connected components, grids as graphs, and basic cycle detection in undirected and directed graphs, with complexity in terms of V and E.
GuideTechnology
20 min read
Binary numbers, the bitwise operators and Java's signed-integer behaviour, then the reasoned uses: parity, powers of two, counting bits, XOR, masks and subsets, plus GCD, modular arithmetic, fast exponentiation and the sieve of Eratosthenes.
GuideTechnology
22 min read
When picking the best-looking option at every step is actually correct, and when it is not. Learn to justify a greedy strategy, hunt for counterexamples, and solve activity selection, merge intervals, meeting rooms and jump game.
GuideTechnology
19 min read
Answer range-sum queries in constant time with a running-total array, count subarrays with a given sum using a hash map, compute product-except-self, handle 2D regions, and apply many range updates at once with a difference array.
GuideTechnology
18 min read
Fixed-size and variable-size windows over arrays and strings, with running sums, counters and frequency maps. Learn the expand-and-shrink template, why it runs in O(n), and when negative numbers break it.
GuideTechnology
18 min read
Replace nested loops with two indices that move in a controlled way. Learn the opposite-ends and same-direction patterns, why each pointer move is safe, and solve pair sum, container with most water, 3Sum and in-place deduplication.
GuideTechnology
22 min read
Linear and binary search done right (invariants, boundaries and overflow-safe midpoints), lower and upper bound, searching on the answer, the main sorting algorithms and their trade-offs, and how to sort anything in Java with comparators.
GuideTechnology
21 min read
How a heap keeps the smallest or largest item ready in O(1), how insert and remove work in O(log n), how to use Java's PriorityQueue, and how to solve top-K, k-th largest and merge-k-sorted problems. Includes how a heap differs from a BST.
GuideTechnology
22 min read
Tree vocabulary, the four traversals (preorder, inorder, postorder, level-order), recursive and iterative code, and binary search trees: search, insert, and the right way to validate one.
