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Sukhveer Kaur

Sukhveer is a software developer specialising in AI systems and backend engineering. She has hands-on experience designing agentic AI applications, working with large language model pipelines, autonomous agent frameworks, and cloud-native services in Java and Python. At InfoWok, she bridges the gap between cutting-edge AI research and practical implementation — helping developers understand and apply emerging technologies through clear, experience-backed writing.

128 guides~15.3 hrs totalupdated Oct 24, 2026
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Claude Code Skills Tutorial: Build Your First Skill (2026)

Claude Code Skills turn a repeated prompt into a folder Claude reaches for on its own. Build one real Skill and run it in this hands-on tutorial.

Beginner · 8 min
AI Engineering
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128 on this page
Intermediate10 minSystem Design Interview Prep Plan: A 2, 4 and 8 Week Schedule (2026) A system design interview prep plan for 2026: 3-day, 2, 4 and 8 week schedules, a daily drill rhythm, a spaced-review routine and a last-week checklist.Intermediate11 minSystem Design Mock Interviews: A 45-Minute Drill, a Scoring Rubric and a Feedback Loop (2026) System design mock interview guide for 2026: a 45-minute protocol, interviewer script, 1-4 scoring rubric by level, debrief loop, solo and LLM mocks.Advanced14 minLLM System Design Interview Follow-Ups: API, Failure Modes and Deep Dives (2026) LLM system design follow-ups: API contract, data model, failure modes, KV-cache math, semantic-cache invalidation, tenant fairness, provider outage fallback.Advanced7 minSharding and Replication Follow-Ups: Failover, Quorums, Resharding (2026) Database follow-ups for system design: failover and split-brain, W+R>N quorums, online resharding with Vitess and MongoDB, and multi-region trade-offs.Intermediate14 minDesign a Chat System: Store First, Then Push (2026) Design a chat system in a system design interview: connections and gateways, idempotent sends, message order, offline catch-up with cursors, groups and receipts.Intermediate8 minDesign a Chat System: Media, Failure Modes and Follow-Ups (2026) Chat system design follow-ups: presigned-URL media uploads, a failure table per component, encryption, abuse, monitoring, deploys, cost and a 45-minute plan.Intermediate12 minDesign a File Storage Service: Chunk, Hash, Resume (2026) Design a file storage service in a system design interview: chunked resumable uploads, signed URLs, deduplication, metadata, sync and garbage collection.Intermediate8 minDesign a File Storage Service: Failure Modes, Security and Follow-Ups (2026) Take a file storage design through outages, abuse, durability, cost and rollout: failure table, signed URL revocation, erasure coding, SLOs and follow-up answers.Intermediate14 minDesign a News Feed: Push, Pull or Both? (2026) Design a news feed in a system design interview: fan-out on write vs read, the celebrity problem, Redis feed lists, cursors, cold feeds and ranking.Intermediate12 minDesign a Notification Service: Decide Once, Store First, Nudge With an ID (2026) Design a notification service in a system design interview: rules and dedupe, an inbox, queues and retries, TTL, priority lanes, campaigns and dead tokens.Intermediate7 minDesign a Notification Service: Failure Modes, Security and Follow-Ups (2026) Notification service design follow-ups: a failure table, multi-region failover, inbox storage, caller auth, opt-out law, monitoring, cost and a 45-minute plan.Intermediate12 minDesign a Rate Limiter: Where the Counter Lives Decides Everything (2026) Design a rate limiter in a system design interview: token bucket, shared counters, atomic scripts, sharding, local buckets, fail-open vs fail-closed, 429s.Intermediate8 minDesign a Rate Limiter: Failure Modes, Security and Follow-Ups (2026) Rate limiter follow-ups for system design: failure per component, spoofed IPs, reject vs shed, token-based LLM limits, multi-region, shadow-mode rollout.Intermediate18 minDesign a Ride-Sharing Service: Near, Now, Claimed Once (2026) Design a ride-sharing service in a system design interview: geo index cell sizes, location ingest, batched matching, expiring claims and an exactly-once ride state.Intermediate11 minDesign a Ride-Sharing Service: Failures, Hot Cells, Surge and Payments (2026) Ride-sharing design follow-ups: a failure table, hot cells, city failover, smoothed surge, payment idempotency, location privacy, SLOs, cost and a 45-minute plan.Intermediate13 minDesign a Typeahead Search: Precompute the Top Five (2026) Design typeahead search in a system design interview: top-k per prefix, tries, debounce, edge caching, trending updates, typo tolerance and scaling.Advanced7 minDesign a Typeahead Search: Failure Modes, Security and Follow-Ups (2026) Typeahead search beyond the core design: failure modes, monitoring and rollout, ranking and blocking, Unicode, accessibility, multi-region and interview follow-ups.Intermediate9 minURL Shortener Follow-Ups: Failures, API Detail and Cost (2026) URL shortener follow-ups for system design: idempotent API, 409 and 429, failure table with numbers, CAP stance, SLO alerts, cost, key rotation, click analytics.Intermediate15 minDesign a Video Streaming Service: Cut It, Ladder It, Cache It (2026) Design a video streaming service for a system design interview: segments, bitrate ladder, codecs, HLS and DASH packaging, adaptive bitrate, transcoding and CDNs.Advanced12 minDesign a Video Streaming Service: DRM, Live, Failure Modes and Cost (2026) Video streaming follow-ups: failure modes, DRM with Widevine, FairPlay and PlayReady, live latency, a premiere cache stampede, QoE targets, cost and takedowns.Intermediate14 minDesign a Web Crawler: One Queue Per Host (2026) Design a web crawler in a system design interview: a frontier with a queue per host, politeness, robots.txt, Bloom filter dedupe, leases and recrawl.Advanced9 minWeb Crawler Follow-Ups: Failure Modes, Near-Duplicates and Security (2026) Web crawler depth for system design interviews: failure of each component, SimHash near-duplicates, crawl traps, SSRF, monitoring, cost and follow-up questions.Intermediate11 minFailure Modes and Resilience Patterns: Timeouts, Retries, Breakers and Bulkheads (2026) How failures cascade and how to stop them: timeouts, retries with backoff and a budget, circuit breakers, bulkheads and load shedding, with numbers and a toy test.Intermediate9 minFailure Modes and Resilience: Interview Follow-Ups (2026) Resilience follow-ups for system design: what happens when X is down, health checks, hedged requests, priority shedding, error budgets, chaos tests.Intermediate10 minMessage Delivery Guarantees and Idempotency: At-Most, At-Least and ‘Exactly’ Once (2026) Message delivery guarantees explained for system design interviews: at-most-once, at-least-once, 'exactly once', idempotent consumers, retries, dead-letter queues.Advanced7 minMessage Ordering, Rebalances, Transactions and Sagas: The Interview Follow-ups (2026) Messaging follow-ups for system design interviews: per-key ordering, rebalance duplicates, Kafka transaction limits, outbox polling vs CDC and sagas.Intermediate11 minAI Agent Interview Questions (2026): Strong vs Weak Answers AI agent interview questions with strong vs weak answers: the agent loop, tool failures, loop guards, memory, evaluation and when not to use an agent.Intermediate7 minAI Engineer Behavioral Interview (2026): Present the Project You Built AI engineer behavioral interview questions with strong vs weak answers: a two-minute project walkthrough, a story bank and how to talk about failures.Intermediate6 minThe AI Engineer Interview Prep Plan (2026): 2 to 4 Weeks An AI engineer interview prep plan for 2 to 4 weeks: a baseline check, a weekly cycle, week-by-week schedules for RAG, agents, evals and behavioral rounds.Intermediate6 minAI Engineering Portfolio Projects That Get Interviews (2026) AI engineering portfolio projects that get interviews: build one project in four layers, report one measured number each, and write the README reviewers read.Intermediate9 minLLM Evaluation Interview Questions (2026): Strong vs Weak Answers LLM evaluation interview questions with strong vs weak answers: golden sets, graders, LLM judges, pass@k vs pass^k, CI gates and drift, with follow-ups.Intermediate9 minConsistent Hashing Explained: Add a Server Without Moving Everything (2026) Updated 24 OctConsistent hashing explained for system design interviews: the hash ring, virtual nodes, a measured simulation (10% of keys move vs 91%), replicas, and its limits.Intermediate9 minDatabase Sharding and Replication Explained: Copy for Reads, Split for Writes (2026) Updated 24 OctDatabase sharding and replication explained for system design interviews: copies vs splits, sync vs async, shard keys, hot spots, resharding, and when not to shard.Intermediate12 minDesign a URL Shortener: Where Every Decision Comes From the Read Path (2026) Updated 24 OctDesign a URL shortener for a system design interview: requirements, base62 short codes, caching a 100:1 read path, 301 vs 302 and abuse checks.Beginner9 minBack-of-Envelope Estimation for System Design Interviews: The Maths in 30 Seconds (2026) Corrected 24 OctBack-of-envelope estimation for system design interviews: five numbers, four formulas, 2026 latency figures and how to size an AI feature in under a minute.Intermediate9 minSystem Design Interview Framework: Six Steps for the 45-Minute Round (2026) Updated 24 OctA system design interview framework for 2026: six steps, a time box for each in the 45-minute round, and what the interviewer scores at each step.Intermediate14 minLLM System Design Interview: The Five-Layer Answer (2026) Updated 24 OctLLM system design interview prep: a five-layer answer, capacity math to do aloud, weak vs strong answers, and a practice exercise with a worked solution.Intermediate10 minRAG Interview Questions & Answers (2026): Strong vs Weak Updated 16 OctRAG interview questions with strong vs weak answers: a 5-step framework, one worked example, and the follow-ups interviewers use to catch memorized answers.Intermediate5 minChatGPT MCP: Connect Any MCP Server to ChatGPT (2026) ChatGPT MCP setup in 2026: turn on Developer Mode, add your MCP server as a custom connector over OAuth, and handle the write-confirmation gotcha.Intermediate4 minClaude Code Changes 2026: Subagent Limits, Caps & Opus 5 Claude Code changes shipped fast: subagent limits flip-flopped twice, a budget-cap bug got fixed, and Opus 5 became the default. Here is what to do.Beginner6 minHow to Use Claude Code: Idea to App Workflow (Part 1) Here's how to use Claude Code the way developers who actually ship products do: a six-step, repeatable workflow — scope, CLAUDE.md, plan, verify, commit.Beginner8 minEvaluate an AI Agent on a Local LLM: Free, No API Key (2026) Evaluate an AI agent on a local LLM for free — build a tiny Pydantic AI agent on Ollama and score it with pydantic-evals, agent and judge both local, no API key.Intermediate9 minAI Agent Guardrails in Python: Input & Output Validation AI agent guardrails in Python: validate input and output, block prompt injection, and enforce schemas with the OpenAI Agents SDK and Pydantic.Intermediate6 minAgentic Search vs RAG: Which One Do You Actually Need? (2026) Corrected 16 OctAgentic search vs RAG, decided: a flowchart, real cost data, and the default that wins most of the time — plus exactly when to pay for the upgrade.Intermediate6 minMCP Server TypeScript: Build One in Node.js (2026) Build an MCP server TypeScript developers can deploy — typed tools with Zod, Streamable HTTP in Node.js, and a curl test that proves it works.Intermediate6 minPydantic AI vs LangChain: Which Framework Should You Use? (2026) Pydantic AI vs LangChain in 2026: real code for both, a clear verdict on which to pick, and exactly where each framework stands right now — including the v2 beta.Beginner7 minBest Local LLM for Your Laptop in 2026: Free and Private Find the best local LLM for your laptop — matched to 8, 16 or 32 GB of RAM — and run it free with LM Studio or Ollama. No API bills, fully private.Beginner5 minClaude Code MCP with Local Models: A Private Agent Stack Claude Code MCP on a free local stack: add servers with one command, pick tool-capable Ollama models, set scopes right, and dodge the privacy trap.Beginner5 minConnect Claude Code to Any Model: 6 Exact Configs (2026) Connect Claude Code to Ollama, DeepSeek, GLM, Kimi, NVIDIA NIM or OpenRouter: copy-paste env vars, settings.json blocks, model mapping and quick fixes.Beginner5 minFree Local AI Coding Assistant in VS Code (2026 Setup) Set up a free local AI coding assistant in VS Code with Continue and Ollama: the right Qwen coder models for your RAM, plus chat, edits and autocomplete.Beginner5 minLocal RAG: Chat With Your Documents 100% Privately (2026) Corrected 16 OctSet up local RAG and chat with your documents fully offline: Open WebUI knowledge bases for the no-code path, plus a tiny Python pipeline with Ollama.Beginner6 minRun Claude Code for Free: What Viral Videos Don’t Tell You Those viral videos about running Claude Code for free are half true. What is actually free, what costs money, and three real setups that work in 2026.3 minDesigning AI-Native Applications: The Architecture Series AI-native applications break classic architecture instincts. This 8-part series maps the decisions that matter: context, memory, orchestration, governance.Intermediate5 minSoftware Engineer Skills in 2026: What the Job Now Expects Updated 16 OctThe software engineer skills that get you hired changed in 2026: AI-assisted coding, LLM integration, agent literacy — plus a 6-point self-audit.Intermediate5 minBuild a Customer Support AI Agent in Python (2026) Build a customer support AI agent in Python with the OpenAI Agents SDK: triage, order lookup, refunds, human escalation, and memory — with runnable 2026 code.Intermediate4 minLLM Structured Outputs: Validated JSON in Python (2026) Get structured outputs from LLMs in Python: validated JSON, not fragile parsing — with Pydantic, OpenAI Structured Outputs, and instructor. Runnable code.Intermediate5 minOpenAI Agents SDK Handoffs: Multi-Agent Routing in Python Master OpenAI Agents SDK handoffs in Python: route between specialist agents, customize with handoff(), pass data with input_type, and filter history.Intermediate6 minOpenAI Agents SDK Tutorial: Build an Agent in Python (2026) Build your first AI agent with the OpenAI Agents SDK in Python: tools, structured output, handoffs, and memory — with runnable 2026 code and common pitfalls.Intermediate5 minOpenAI Agents SDK vs LangGraph: Which to Use in 2026? OpenAI Agents SDK vs LangGraph in 2026: a managed agent loop or an explicit state graph? A head-to-head on control, state, durability, and when to pick each.Beginner7 minOpenRouter Review (2026): One API, 300+ Models — Worth It? OpenRouter review (2026): one API for 300+ LLMs with automatic failover and zero markup — but a 5.5% credit fee. Real costs, limits, and who should use it.Intermediate9 minVector Database for RAG: When to Ditch the List (Part 4) Corrected 16 OctA vector database for RAG earns its place when persistence, filters, or scale demand it. Move the Part 1 list store to Chroma and add hybrid search.Intermediate4 minRAGFlow: Fix Bad RAG Retrieval on Real PDFs (2026) RAGFlow fixes the RAG failure you can't out-prompt — bad PDF and table parsing. See how its deep document understanding reads tables right, and when to use it.Intermediate7 minSemantic Chunking & Re-Ranking for Better RAG (Part 3) Updated 16 OctSemantic chunking and cross-encoder re-ranking break the retrieval ceiling fixed-size chunks hit, with a hit-rate eval showing which to reach for first.Beginner3 minPython Environment Setup for AI Agents: The 5-Minute Primer (2026) The one setup every AI agent tutorial assumes: install Python, create a virtual environment, install packages, and add your API key with a .env file — in about five minutes.Intermediate8 minAgentic RAG: Why Static Retrieval Isn’t Enough (2026) Corrected 16 OctAgentic RAG wraps retrieval in an agent loop that grades its own results and re-queries when they're weak. Here's how it beats static RAG, and what it costs.Intermediate8 minBuild a RAG System in Python From Scratch (Part 1) Updated 16 OctBuild a RAG system in Python from scratch, no framework. Four functions that chunk, embed, store, and retrieve over your own docs, then answer with an LLM.Intermediate7 minRAG Chunking & Retrieval Quality: Fix Bad Answers (Part 2) Corrected 16 OctFix RAG chunking to stop wrong answers. Use fixed-size windows, overlap, and a 10-line retrieval eval. The model was never the problem; the chunks were.Beginner5 minBest n8n Alternatives for AI Agents (2026) The best n8n alternatives for AI agents in 2026 — Make, Activepieces, Zapier, Gumloop, Lindy, Relevance AI and Pipedream, with honest picks by use case.Beginner5 minn8n Review (2026): Best No-Code AI Agent Builder? n8n review (2026): the most capable low-code platform for building real AI agents — native agent nodes and per-execution pricing, but a steep learning curve.Beginner7 minCursor vs Claude Code (2026): Which Should You Use? Corrected 16 OctCursor vs Claude Code in 2026: editor AI vs terminal agent, pricing, token efficiency, and which to use — or why many developers run both.Intermediate5 minAI Engineer Interview Questions (2026): RAG & Agents A 2026 playbook of AI engineer interview questions by round: RAG, agents, LLM system design, and evals, with what each really tests and how to answer.Intermediate6 minBecome an AI Engineer: The 80% You Already Know (2026) You already do 80% of an AI engineer's job. If you ship software, here's the exact 20% you need to become an AI engineer in 2026: RAG, agents, evals.Intermediate9 minHow to Evaluate an AI Agent: Metrics & Frameworks (2026) An AI agent evaluation guide for 2026: the metrics that actually matter, how to score them, and the frameworks — LangSmith, DeepEval, Ragas — to run them.Intermediate9 minWhy Your LangGraph Agent Keeps Looping (and How to Fix It) Your LangGraph agent looping until GraphRecursionError? Here's how to diagnose the four causes and fix the stop condition — not just raise the limit.Beginner7 minn8n vs Make for AI Agents (2026): Which to Use n8n vs Make for AI agents in 2026: how their agent nodes, pricing (executions vs credits), and setup differ — and which one to actually pick.Beginner4 minPydantic BaseModel: A Primer for AI Agent Developers (2026) A Pydantic BaseModel primer for AI agent developers: define a model, validate data, and turn messy LLM output into a clean, typed Python object.Beginner7 minWhat Is RAG in AI? A Practical Developer’s Guide (2026) Updated 16 OctWhat is RAG? A developer's guide to retrieval-augmented generation: why LLMs need it, the retrieve-augment-generate loop, and a runnable RAG in 25 lines.Beginner3 minPython Decorators: A Primer for Reading AI Agent Code (2026) A Python decorators primer for reading AI agent code: what the @ symbol does, how @tool and @app.get work, and why frameworks hand you decorators to apply.Beginner5 minAI Agent vs Workflow: What’s the Actual Difference? (2026) AI agent vs workflow, settled: one question tells you which you have. It comes down to who decides the next step, your code or the model, with code examples.Beginner5 minAsync and Await in Python: A Primer for AI Agent Code (2026) An async and await in Python primer for reading AI agent code: what async def, await, and asyncio.run mean, and the two mistakes beginners always hit.Beginner4 minDocker for Python: A Primer for Shipping AI Agents (2026) A Docker for Python primer: what images and containers are, how to write a Dockerfile for an app, and why agents ship in containers — explained simply.Beginner6 minEmbeddings and Vector Search: A Primer for AI Agents (2026) Updated 16 OctAn embeddings and vector search primer: how text becomes vectors, how similarity search finds meaning not keywords, and why agent memory and RAG rely on it.Beginner4 minHTTP and Bearer Tokens: A Primer for Python Devs (2026) An HTTP and bearer token primer for Python devs: methods, status codes, JSON bodies, and how an Authorization Bearer header authenticates an API call.Beginner4 minLLM API Keys: Set Up OpenAI, Anthropic & Gemini (2026) An LLM API key primer: where to get OpenAI, Anthropic, and Gemini keys, how to load one safely with python-dotenv, and how to avoid a leaked-key bill.Beginner4 minOAuth 2.1 in Plain English: A Primer for Developers (2026) An OAuth 2.1 primer in plain English: access tokens, scopes, the client–server–authorization flow, and how it protects an API or MCP server from anyone.Beginner4 minPytest and CI: A Primer for Testing AI Agents (2026) A pytest and CI primer: write a first test, run it, and wire it into GitHub Actions so every pull request is checked automatically — explained for beginners.Beginner4 minPython Type Hints: A Primer for Reading AI Agent Code (2026) A Python type hints primer for reading AI agent code: function hints, Optional, Union, TypedDict for message lists, and how frameworks use them.Beginner3 minPython Virtual Environments: venv, pip & uv Primer (2026) A Python virtual environment primer: why venv exists, how to create and activate one, install packages with pip or uv, and avoid the classic setup traps.Beginner8 minWhich AI Agent Framework Should You Use in 2026? A developer's decision guide to the best AI agent frameworks in 2026 — three questions to confidently pick LangGraph, CrewAI, the OpenAI or Claude SDK.Intermediate2 minAgentic AI in Python: Zero to Production — The Full Series Updated 16 OctThe complete Agentic AI in Python series — seven parts that take you from a local LangGraph agent to a deployed, memory-keeping, tool-using, observable app. Start here.Beginner5 minFrom Scratch to LangGraph: When to Stop Hand-Building Agents From scratch to LangGraph: the four walls that tell you when to use LangGraph instead of a hand-built Python agent loop — and when plain Python is still the right call.Intermediate6 minAI Agent Evals in CI: Block Bad PRs with GitHub Actions Run AI agent evals in CI: turn your pydantic-evals suite into a test, gate it with GitHub Actions, and block any pull request that drops the agent's score.Intermediate7 minGoogle ADK Tutorial: Build Your First AI Agent in Python (2026) A Google ADK tutorial that fills the setup gap most tutorials skip: go from an empty folder to a running AI agent in Python, with a validation loop and an MCP connection.Intermediate7 minLangGraph Tutorial: Build Your First AI Agent in Python (2026) A LangGraph tutorial for 2026: build your first AI agent in Python with create_agent, then rebuild it as a raw StateGraph so you actually see what's underneath.Beginner7 minAI Agent Loop in Python: Build a ReAct Agent From Scratch Build an AI agent loop in Python from scratch: a framework-free ReAct agent that thinks, calls a tool, observes the result, and repeats until the job is done.Beginner7 minAI Agent Memory in Python: Short-Term Memory From Scratch Add AI agent memory in Python from scratch: keep the conversation in a messages list, then trim and summarize older turns to fit the model's context window.Intermediate7 minCrewAI Tutorial: Build a Multi-Agent Team in Python (2026) CrewAI tutorial: build a 3-agent team in Python — researcher, writer, and editor — with runnable 2026 code, and exactly when a crew is overkill.Beginner6 minn8n AI Agent Tutorial: Build One Without Code (2026) Build an n8n AI agent without code: wire four nodes into a working agent, see each node mapped to the loop underneath, and learn when to switch to Python.Beginner6 minPython for AI Agents: The Basics to Read the Code (Part 0) The Python for AI agents you actually need to read the code: dicts, functions, type hints, loops, async, and setup — explained simply for beginners.Beginner6 minCall an LLM in Python: The First Building Block of an Agent Call an LLM in Python with real OpenAI and Anthropic code: system vs user prompts, temperature, JSON output, and why one call isn't yet an agent.Beginner7 minTool Calling in Python: Make an LLM Use Your Functions Tool calling in Python from scratch: define a tool, parse the model's request, run your function, and return the result — with real, current OpenAI code.6 min7 Best MCP Servers to Connect to Claude in 2026 The 7 best MCP servers to connect to Claude in 2026 — what each one does, when to actually use it, and the one permission to check before you connect.Intermediate7 minAI Agent Observability & Evals in Python (Part 6) Add AI agent observability and evals in Python — trace every agent run with Pydantic Logfire and score it against a test set using pydantic-evals.5 minMCP vs REST API: Do You Even Need MCP? (2026) MCP vs REST API in plain English: a REST call connects your code to a tool, MCP connects any AI agent to it. Here's when you actually need MCP.5 minMCP vs A2A: Do Your AI Agents Need Both? (2026) MCP vs A2A in 2026, in plain English: MCP connects an agent to tools, A2A connects agents to each other. Here's when you need both — and when you don't.5 minAre MCP Servers Safe? Security Risks & How to Lock Them Down Updated 16 OctAre MCP servers safe? Here's what one can really access, the real risks — tool poisoning, no-auth endpoints — and a five-minute hardening checklist.Intermediate7 minBuild an Agentic AI App in Python: MCP Client (Part 5) Build an MCP client in Python so your agent calls real tools — connect a LangGraph agent to an authenticated FastMCP server with langchain-mcp-adapters.Intermediate7 minGitHub MCP Server: Connect Claude to Your Repos (2026) Connect the GitHub MCP Server to Claude in 15 minutes — the exact Docker config, a least-privilege token, the 6 things it does well, and the scope you must not skip.Beginner5 minAgentic AI Roadmap 2026: Worth It + the Exact Path An honest agentic AI roadmap for 2026: is it worth learning, the exact path from Python to a deployed agent, what to skip, and the tools that matter.Beginner6 minClaude MCP Setup: Connect a Server to Claude Desktop (2026) Edited your Claude MCP config but nothing shows up in Claude Desktop? Get the exact claude_desktop_config.json for macOS and Windows, plus every fix.Intermediate5 minLangGraph vs CrewAI vs AutoGen: Which to Use in 2026? LangGraph vs CrewAI vs AutoGen compared for 2026: dev speed, production reliability, observability, and how to pick the right Python AI agent framework.Intermediate7 minPydantic AI Tutorial: Type-Safe AI Agents in Python (2026) Pydantic AI tutorial: build type-safe AI agents in Python with structured outputs, tools, dependency injection and native MCP, plus runnable 2026 code.Beginner5 minWhat Is an MCP Server? Complete Guide for Developers (2026) What is an MCP server? A plain-English 2026 guide to the Model Context Protocol: how MCP servers work, MCP vs APIs, and whether to adopt one.Intermediate7 minBuild an Agentic AI App in Python: AI Agent Memory (Part 4) Add real AI agent memory in Python — a LangGraph Store that recalls users across threads, semantic search with embeddings, and Redis for production.Intermediate8 minBuild an Agentic AI App in Python: Multi-Agent Systems (Part 3) Build multi-agent systems in Python with LangGraph: a supervisor routing search, summarise & fact-check workers, plus loop guards that save real money.Intermediate7 minBuild an MCP Server in Python: Production-Ready in 2026 Updated 16 OctBuild a production-ready MCP server in Python with FastMCP — typed tools, OAuth 2.1 auth and streamable-HTTP deployment that most 2026 tutorials skip.Intermediate8 minDeploy AI Agent to Cloud Run or Fly.io (Python 2026) Deploy AI agent code to Cloud Run or Fly.io in one command: push once, get a live HTTPS URL, and keep your Postgres-backed agent memory intact — no VPS.Intermediate9 minBuild an Agentic AI App in Python: FastAPI, Docker & Deploy to Production (Part 2) Wrap your LangGraph agent in FastAPI, Dockerize it, and deploy to a cloud VPS. Part 2 of the Agentic AI Python series — zero to production.Intermediate6 minHow to Crack a Google Interview in India (2026 Guide) A step-by-step 2026 guide to cracking a Google interview in India — the real rounds, DSA and system design prep, Googliness, and a week-by-week plan.Intermediate9 minBuild an Agentic AI App in Python: Zero to Production (Part 1) Learn how to build a working agentic AI app in Python with LangGraph. Part 1 covers tools, StateGraph, and memory — step by step from scratch.Beginner6 minWhat Are AI Agents? Complete Guide for Developers (2026) Learn what AI agents are, how they work, and when to use them. A practical developer's guide covering LLMs, tool use, memory, and real-world examples in 2026.4 minGoogle Interview Prep Beyond Coding: PM, Sales & Googliness Prepare for a Google interview beyond the code — PM, sales and marketing roles, the Googliness rubric, STAR stories, and the mindset that wins offers.Beginner5 minFull Stack Developer Training in 2026: Courses + Path A practical guide to full stack developer training in 2026: the best courses compared, the exact learning path, India salary data, and how to pick one.Beginner4 minThe Future of Work: A Deep Dive into the Digital Revolution Corrected 16 OctThe future of work in 2026: AI agents as coworkers, hybrid as the default, and a looming skills cliff. The real data, the trends, and how to stay ahead.Beginner4 minDeepfakes in 2026: Real Risks and How to Spot Them What deepfakes are in 2026, the real fraud risks, how to spot deepfakes and verify media, the detection tech (C2PA, SynthID), and the new laws.Beginner6 min5 Top React UI Libraries for Modern Web Apps (2026) A 2026 guide to the top React UI libraries — MUI, Ant Design, shadcn/ui, Mantine and Chakra UI — with honest trade-offs and how to pick the right one.Beginner5 minNavigating the AI Learning Revolution in 2026: From Hype to Hands-On How to learn AI in 2026: a practical, hands-on path from hype to real skills — no-code tools, microlearning, building projects, and working with AI.

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