# Kunal Ganglani > Personal website of Kunal Ganglani — AI Architect, Blockchain Builder, Senior Staff Software Engineer based in Toronto, Canada (14+ years experience, currently at Zealsight — Firework & Bitwave). Features an AI/tech blog with 538K+ followers, 25+ free browser-based developer tools, topic pillar hubs, and a 32-term developer glossary. Machine-readable content for LLMs and AI crawlers: - Full per-post directory (every article with metadata, TL;DR, and FAQ): https://www.kunalganglani.com/llms-full.txt - Every article has a clean markdown variant at https://www.kunalganglani.com/blog/.md (same path as the HTML page, with .md appended). ## Topic Pillars High-authority hub pages, each linking to its full cluster of articles. - [AI Agents](https://www.kunalganglani.com/pillars/ai-agents): In-depth coverage of agent architecture, control flow, frameworks, failure modes, and what it takes to ship agents to production. Written f… - [LLM Hardware & Local AI](https://www.kunalganglani.com/pillars/llm-hardware-local-ai): Everything about running LLMs locally: Apple Silicon, NVIDIA, AMD ROCm, GPU buying guides, RAM math, and benchmarks that go beyond marketin… - [AI in Production](https://www.kunalganglani.com/pillars/ai-engineering-production): What changes when AI features hit real users: cost surprises, latency budgets, eval frameworks, and the operational reality of LLM-backed s… - [AI Security & Safety](https://www.kunalganglani.com/pillars/ai-security-safety): Security implications of LLMs, agents, and AI-native software — from prompt injection to autonomous weapon systems and corporate threat mod… - [Dev Tools & AI Workflow](https://www.kunalganglani.com/pillars/developer-tools-workflow): Hands-on reviews and patterns for AI coding tools, Claude Code, Aider, vibe coding, code-review automation, and the changing shape of the d… ## Recent Articles - [AI Engineering Evals: Regression Gates for Prompts, Tools, RAG [2026]](https://www.kunalganglani.com/blog/ai-engineering-evals-gates): Stop letting prompt tweaks and model upgrades silently break production. Here’s a CI-style regression gate system for prompts, tool calling, and RAG… - [AI Agent Observability Logging Schema [2026]: OTel + Redaction](https://www.kunalganglani.com/blog/ai-agent-observability-logging-schema): A copy‑paste JSON logging contract for agent runs (spans, tool I/O, cost, retries) plus a minimal OpenTelemetry mapping you can implement in a weeken… - [Deepfake Voice Detection for Call Centers [2026]: Deploy It Right](https://www.kunalganglani.com/blog/deepfake-voice-detection-call-centers): A practical 2026 runbook for deploying deepfake voice detection in call centers: where to tap RTP audio, what survives VoIP codecs, latency budgets,… - [LLM Latency Benchmark Methodology: Streaming UX Metrics [2026]](https://www.kunalganglani.com/blog/llm-latency-benchmark-methodology): A UX-first LLM latency benchmark methodology for streaming chat and agent apps: measure chunk cadence, jitter, tool-call stall time, and end-to-end t… - [Reproducible Terminal Dev Environment: direnv + mise [2026]](https://www.kunalganglani.com/blog/reproducible-terminal-dev-environment): A repo-first, cross-shell setup for a reproducible terminal dev environment using direnv + mise on macOS, Linux, and WSL—plus secrets patterns and tr… - [AI Agent Evaluation Framework 2026: 8 Metrics Beyond Task Success](https://www.kunalganglani.com/blog/ai-agent-evaluation-framework-2026): If your agent eval is just “did it finish the task?”, you’re flying blind. Here’s a 2026-ready scorecard for tool correctness, recovery, safety, and… - [10 HITL Tool Approval Patterns for AI Agents [2026]](https://www.kunalganglani.com/blog/tool-approval-patterns-ai-agents): Binary approve/reject prompts don’t scale for AI agents. Here are 10 human-in-the-loop permission patterns plus an incident-response-grade audit log… - [Cloudflare Workers AI Agents + Durable Objects: What Runs Where [2026]](https://www.kunalganglani.com/blog/cloudflare-workers-ai-agents-durable-objects): Cloudflare OS reframes Workers as an agent runtime. Here’s the practical architecture map: what belongs in stateless Workers vs Durable Objects vs Qu… - [7 Metrics to Measure AI Coding Impact on Engineering Metrics [2026]](https://www.kunalganglani.com/blog/measure-ai-coding-impact-metrics): Stop justifying AI coding tools with “felt faster.” Here’s a team-level measurement framework for PR throughput, rework, defect escape, and code revi… - [TypeScript 7 Native Compiler Benchmark: My TS6 vs TS7 Recipe [2026]](https://www.kunalganglani.com/blog/typescript-7-native-compiler-benchmark): A reproducible TypeScript 7 native compiler benchmark harness (clean vs incremental, emit vs noEmit) plus a migration checklist for monorepos, path a… - [CSS Popover API Examples + Accessibility Patterns [2026]](https://www.kunalganglani.com/blog/css-popover-api-examples-accessibility): Production-ready Popover API recipes for menus, tooltips, and non-modal UI in 2026. Focus rules, screen reader traps, Anchor Positioning, nesting, an… - [Prevent Sensitive Data Leakage in RAG: The 2026 Playbook](https://www.kunalganglani.com/blog/prevent-sensitive-data-leakage-rag): RAG leaks rarely happen in the model. They happen in logs, traces, and vector stores. Here’s a practical 2026 playbook to ship redaction, least-conte… - [Agent Evaluation Harness [2026]: Replay, Rubrics, CI Gates](https://www.kunalganglani.com/blog/agent-evaluation-harness-replay): Most agent failures aren’t “bad prompts”. They’re multi-step tool cascades. Here’s how I build an agent evaluation harness that actually prevents reg… - [Docker Compose vs Kubernetes for AI/ML [2026]: Use Which?](https://www.kunalganglani.com/blog/docker-compose-kubernetes-ai-ml-2026): A practical 2026 decision guide for AI teams: when Docker Compose is enough for a single GPU box, when Kubernetes is mandatory, and the cleanest migr… - [Claude Code Security [2026]: Risks, Safe Setup, Team Policy](https://www.kunalganglani.com/blog/claude-code-security-2026): Claude Code is safe only if you treat it like a junior engineer with terminal access. Here’s the 2026 playbook: permissions, sandboxing, egress contr… ## Top Articles Most-read articles over the last 30 days. - [4 Open-Source Claude Code Alternatives Tested [2026]](https://www.kunalganglani.com/blog/claude-code-alternatives-open-source) - [Local LLM vs Claude for Coding: $500 GPU Benchmarked [2026]](https://www.kunalganglani.com/blog/local-llm-vs-claude-coding-benchmark) - [Portable LLM on a USB Stick: Offline AI Setup [2026]](https://www.kunalganglani.com/blog/portable-llm-usb-stick) - [LLM Wiki Setup: Karpathy's Knowledge Base [2026 Guide]](https://www.kunalganglani.com/blog/llm-wiki-karpathy-local-knowledge-base) - [Local LLM Hardware Guide 2026: VRAM, GPUs, and Setup [Tested]](https://www.kunalganglani.com/blog/running-local-llms-2026-hardware-setup-guide) - [ChatGPT's Biggest Upgrade Ever: What Developers Actually Need to Know [June 2026]](https://www.kunalganglani.com/blog/chatgpt-biggest-upgrade-developers-june-2026) - [DaVinci Resolve 21 AI Features: I Tested Them on a Real Project [2026 Review]](https://www.kunalganglani.com/blog/davinci-resolve-21-ai-features-review) - [MiniMax vs Claude for Coding: I Benchmarked the 50x Cheaper Challenger on Real Tasks [2026]](https://www.kunalganglani.com/blog/minimax-vs-claude-coding-benchmark) - [Hermes Agent Desktop Free With Local LLMs: The Claude Code Alternative Nobody's Billing You For [2026]](https://www.kunalganglani.com/blog/hermes-agent-desktop-free-local-llm) - [5 LLM APIs Tested for Latency: Real Data [2026]](https://www.kunalganglani.com/blog/llm-api-latency-benchmarks-2026) ## Key Resources - [Blog index](https://www.kunalganglani.com/blog): All articles on AI agents, local LLMs, RAG, developer tools, and engineering practice. - [LLM API Prices](https://www.kunalganglani.com/llm-prices): Live pricing table for frontier and open LLM APIs. - [LLM Benchmarks](https://www.kunalganglani.com/llm-benchmarks): Model benchmark comparisons. - [Embedding Model Prices](https://www.kunalganglani.com/embedding-prices): Embedding API pricing comparison. - [Developer Glossary](https://www.kunalganglani.com/glossary): 32 technical terms explained in depth across AI/ML, backend, DevOps, frontend, and blockchain. - [Developer Tools index](https://www.kunalganglani.com/tools): 25+ free, browser-based tools. No sign-up, fully client-side. ## Notable Tools - [LLM Pricing Calculator](https://www.kunalganglani.com/tools/llm-pricing-calculator): Compare pricing across 25+ LLM models; cost per request, daily, and monthly estimates. - [AI Token Counter](https://www.kunalganglani.com/tools/token-counter): Estimate token counts and costs for GPT, Claude, and Gemini models. - [AI Agent Cost Simulator](https://www.kunalganglani.com/tools/ai-agent-cost-simulator): Estimate the monthly API cost of running an AI agent, including context growth. - [RAG Cost Calculator](https://www.kunalganglani.com/tools/rag-cost-calculator): Full cost of a RAG pipeline — embedding, vector storage, and generation. - [AI Model Comparison](https://www.kunalganglani.com/tools/ai-model-comparison): Compare context windows, pricing, and capabilities of 25+ AI models. - [LLM Hardware Checker](https://www.kunalganglani.com/tools/llm-hardware-checker): Check which local LLMs your hardware can run. - [GPU Recommender](https://www.kunalganglani.com/tools/gpu-recommender): Pick the right GPU for local LLM inference. - [Self-Host vs API Calculator](https://www.kunalganglani.com/tools/self-host-vs-api): Break-even math for self-hosting models vs paying per token. - [AI Prompt Template Library](https://www.kunalganglani.com/tools/prompt-library): 40+ prompt templates for code generation, debugging, documentation, and testing. - [JSON Formatter](https://www.kunalganglani.com/tools/json-formatter), [JWT Decoder](https://www.kunalganglani.com/tools/jwt-decoder), [Regex Tester](https://www.kunalganglani.com/tools/regex-tester), [Base64](https://www.kunalganglani.com/tools/base64-encoder-decoder), [UUID Generator](https://www.kunalganglani.com/tools/uuid-generator) and more encoding/DevOps utilities. ## About the Author - [About Kunal Ganglani](https://www.kunalganglani.com/about): Senior Staff Software Engineer, Toronto. Expertise: AI/ML (RAG, GraphRAG, LangChain, LlamaIndex, AI agents, prompt engineering), blockchain/Web3 (Solidity, smart contracts, DeFi), backend (Node.js, Python, Go, Java), cloud (AWS, Azure, GCP, Kubernetes, Terraform). - Key projects: AI chatbot for Walmart (LLMs + RAG + LangChain, 400% engagement lift); crypto accounting system processing 200K transactions in 5 minutes; Firework AI platform (RAG, GraphRAG, LlamaIndex, LangChain); maps and logistics platform at Swiggy. - Contact: [Twitter/X](https://twitter.com/kunalganglani) · [GitHub](https://github.com/kunalganglani) · [LinkedIn](https://linkedin.com/in/kunalganglani) · kunalganglani@gmail.com