Codechef
HackerRank
AlgoExpert.io
CodeForces
LeetCode
Coderbyte
Interview Cake
Codewars
ContextForge.dev
Agentmemory
OpenMemory MCP
CodeChef is a not-for-profit educational initiative started by Directi more than a decade ago. We started with a dream of seeing an Indian team winning a gold medal at the ACM ICPC World Finals. In its quest for the same, CodeChef has built a self-driven community of the world's best programmers. Today more than 1.3 million competitive programmers from 180+ countries learn from CodeChef. CodeChef has been hosting monthly programming contests regularly for 10 years now. Its platform has assessed 92 million+ code submissions to date, and over 30000 organizations are being impacted by CodeCheffers worldwide. It also organizes SnackDown - one of the world's largest global programming competition whose last edition drew participation from 140+ countries. Since 2017, CodeChef has started providing India's only industry-ready certification in Data Structures and Algorithms, and 1800+ programmers have been certified under the same.
ContextForge is persistent, searchable memory for AI coding agents โ built on the Model Context Protocol (MCP).
Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client recalls it later with semantic search โ across sessions and across projects.
Works with: Claude Code, Claude Desktop, Cursor, GitHub Copilot, ChatGPT, and Windsurf.
Codechef ContextForge.devContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once โ Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf โ not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing โ all through a single MCP server you add with one command.
ContextForge.dev's answer:
Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants โ Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf โ and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.
ContextForge.dev's answer:
ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol โ so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
ContextForge.dev's answer:
Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.
Based on our record, Codechef seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Have you heard of codeforces.com, atcoder.jp, codechef.com, etc? Source: over 2 years ago
Leetcode is good to learn basic algorithms because problem statements are usually straightforward. Competitive programming has much wider range of problems. Most popular sites for cp are codeforces.com , atcoder.jp, codechef.com . Source: over 2 years ago
Learn Java with hands-on experience. I personally used codingbat.com a lot, but I've heard good things about codechef.com, which appears to even have a competitive option. Source: over 3 years ago
For practicing algorithms, use any of the freely available websites like https://hackerrank.com https://codechef.com https://projecteuler.net A structured set of practice problems are available at https://www.interviewbit.com/courses/programming/ Avoid https://geeksforgeeks.org because it has a ton of material but very poor quality control. Source: about 4 years ago
These all have sample problems to solve Hackerrank.com edabit.com codewars.com codechef.com and there are tons more. Best of luck to you. I am at about the same level myself. I really like these sites. Source: over 4 years ago
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
AlgoExpert.io - A better way to prep for tech interviews
OpenMemory MCP - Your private, local memory layer for all AI tools
CodeForces - Programming competitions and contests, programming community.
LeetCode - Practice and level up your development skills and prepare for technical interviews.