DevShelfHub
Save hours of research with hand-picked AI developer tools, AI coding tools, practical project ideas, LangChain and CrewAI tutorials, RAG projects, AI agent frameworks, and developer cheatsheets — all in one place.
15+
Buildable AI Projects
Real-world AI project ideas with code, walkthroughs, and implementation guides.
75+
Tested AI Developer Tools
Reviewed AI coding tools and developer tools for coding, content, design, and automation.
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Developer Cheatsheets
Dense quick-reference one-pagers for the frameworks you use daily.
11+
Step-by-Step Tutorials
LangChain tutorials, MCP tutorials, CrewAI tutorials, RAG pipelines, and AI agent frameworks.
Not sure where to begin? Follow this path.
Understand what agents are and how they plan and act.
A real AI project with code and a full walkthrough.
Find the right tools for your stack — reviewed and categorized.
Keep framework references one click away while you build.
Hiring Board
Browse 6630+ curated tech roles — AI, Backend, DevOps, QA, Data and Product positions from fast-growing companies and AI startups, updated daily.
Career Boost
Done-for-you job search, ATS-ready resumes, and direct recruiter access — built for developers who are tired of the black hole.
We shortlist jobs and deliver a customized, ATS-optimized resume for each role — 20 jobs per day straight to your inbox.
From
₹250
Role-specific resume packs for SDE, Full Stack, QA, Data, DevOps, and PM — editable DOCX + ready-to-submit PDF.
From
₹20
Direct recruiter emails at top tech companies — skip the ATS queue and follow up personally on your applications.
From
₹0
AI project ideas you can learn from, customize, or ship — each with code and a full walkthrough.
Turn pasted notes or textbook text into summaries, key points, and practice questions with Python, Streamlit, and the OpenAI API—beginner-friendly active recall in one step.
Turn personal notes into an interactive Q&A system: chunk and overlap text, embed locally with Hugging Face, store in Chroma, and answer with LangChain RAG and Groq—no embedding API key.
Paste an email, pick a tone (Formal, Friendly, Short), and get a Groq-powered draft reply—Express API plus vanilla HTML/CSS/JS, no frontend build.
Not every AI coding tool deserves a bookmark. These AI developer tools consistently deliver.
On-brand multi-format ad creatives—static, video, and HTML5—optimized for major social and display networks.
Text-to-image AI known for painterly, high-quality art—describe a scene in words and iterate with upscales, remixes, and variations.
Browser-based AI for text-to-video, smart editing, backgrounds, and image generation—built for creators who want pro-ish results without a pro toolchain.
AI-native code editor (VS Code–based): chat with your repo, inline edits from natural language, and strong completions across languages.
Dense, scannable one-pagers for the tools you use every day.
LangChain is a Python/JS framework for composing LLM-powered applications: it provides a unified interface across model providers, a composable LCEL pipe syntax, and pre-built chains for RAG, agents, and memory. This cheatsheet covers the core imports, Chat and Embedding model wrappers, LCEL runnables, prompt templates, retrievers, agents, tools, LangGraph state, and full minimal RAG and agent examples.
Agents, Tasks, Crews, Processes, Flows — the everyday API surface plus the YAML config that drives a crew.
JSON-RPC primitives, tools, resources, prompts, sampling, lifecycle — the spec compressed into a one-page reference.
LangChain tutorials, MCP tutorials, CrewAI tutorials, RAG projects, and AI agent framework guides.
Master Anthropic's agentic coding tool end to end — from your first install and commit to sub-agents, MCP, CI/CD automation, the Agent SDK, and AI-native development.
Learn what AI agents are, how they plan and act, and build your first agent from scratch.
Build LLM-powered apps with chains, agents, and RAG pipelines using LangChain.
"Found several AI tools I now use every day. Saves me the pain of sifting through endless Product Hunt launches."
Senior Engineer
AI Infrastructure
"The cheatsheets save me hours every week. I have the LangChain one open constantly while building pipelines."
ML Engineer
Startup, Bangalore
"The AI Agents tutorial is the clearest intro I've read. Went from zero to deploying my first agent in a weekend."
Full-Stack Developer
Product Company
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