kunalganglani.com

# 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/<slug>.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

- [OpenTelemetry Instrumentation for AI Agents [2026]: Ship It](https://www.kunalganglani.com/blog/opentelemetry-ai-agents-instrumentation): A vendor-neutral tracing schema for AI agents: model LLM calls, retrieval, tool runs, retries, and token cost as spans. Then dashboard latency, error…
- [Rust Allocator: jemalloc vs mimalloc vs tcmalloc for P99 [2026]](https://www.kunalganglani.com/blog/rust-allocator-jemalloc-mimalloc-tcmalloc): Allocator switching can cut P99 latency in Rust services. It can also do absolutely nothing. Here’s how to benchmark it like an adult and tune jemall…
- [AI Coding Team Workflow Policy Guide [2026]: Stop the PR Flood](https://www.kunalganglani.com/blog/ai-coding-team-workflow-policy-guide): AI coding tools can 2x your PR volume before anyone notices quality is collapsing. Here’s a pragmatic policy for labels, ownership, review SLAs, and…
- [Agent-Specific Attack Surfaces Security [2026]: What AppSec Misses](https://www.kunalganglani.com/blog/agent-attack-surfaces-security): Agents don’t just “generate text”. They read files, browse, call tools, and remember things. That breaks classic AppSec threat models. Here’s the age…
- [How AI Generates World Cup 2026 Highlights](https://www.kunalganglani.com/blog/ai-world-cup-2026-highlights-pipeline): A full technical walkthrough of the automated broadcast pipeline generating World Cup 2026 highlights — capture, computer vision, AWS Media Replay En…
- [AI Code Review in Your CI/CD Pipeline: 2026 Setup](https://www.kunalganglani.com/blog/ai-code-review-github-actions): Every vendor shipped a 2026 'best tools' listicle. None shipped the YAML. Here's a complete, copy-pasteable GitHub Actions config that wires AI code…
- [AI-Readable Documentation: 8 Templates That Agents Actually Use [2026]](https://www.kunalganglani.com/blog/documentation-ai-tools-use): Docs aren’t dead. They’re becoming routing logic and evidence. Here’s how to write documentation that AI tools can use without shipping “slop describ…
- [Run Local LLMs in VS Code: No Copilot Plan [2026]](https://www.kunalganglani.com/blog/run-local-llm-vscode): VS Code now wires Ollama and LM Studio straight into Copilot Chat's model picker — no CLI, no Continue.dev, no Copilot subscription. Here's the full…
- [Agent Per-Task Cost Calculation [2026]: Retries, Tools, Caching](https://www.kunalganglani.com/blog/agent-per-task-cost-calculation): A spreadsheet-ready expected-cost model for agent workflows that includes retries, tool-call fanout, context growth, and caching. Plus hard budgets y…
- [5 AI Coding Team Breakdowns Nobody Warns You About [2026]](https://www.kunalganglani.com/blog/ai-coding-tools-team-workflow-impact): Your team shipped Claude Code licenses. Now PRs are exploding, prompts are drifting, and reviewers are drowning. Here are the 5 workflow breakdowns a…
- [Gemma 4 26B CPU Inference Benchmark: 5 tok/s Production Math [2026]](https://www.kunalganglani.com/blog/gemma-4-cpu-inference-benchmark): A $300 Xeon from 2013 runs Gemma 4 26B at 5 tok/s with no GPU. Here's the memory bandwidth math, quantization tradeoffs, and production decision fram…
- [AI Agent Memory Exfiltration: Kill Chain + 5-Step Hardening [2026]](https://www.kunalganglani.com/blog/ai-agent-memory-exfiltration-hardening): Claude's memory was silently exfiltrated to an attacker's server with zero user warnings. Here's the full kill chain, which memory architectures are…
- [RAG Context Window Limits: Why Bigger Is Not Better [2026]](https://www.kunalganglani.com/blog/rag-context-window-limitations): Expanding your context window from 4K to 128K tokens doesn't fix RAG — it masks retrieval failures with coherent-sounding hallucinations. Here's the…
- [AI Agent Threat Model: 7 Attack Vectors [2026]](https://www.kunalganglani.com/blog/ai-agent-threat-model-attack-surface): Prompt injection is just vector #1. Here's the full AI agent attack surface map — tool poisoning, memory injection, orchestrator hijack, Denial of Wa…
- [AI Agent Cost Per Task [2026]: Token Budgets & Break-Even Math](https://www.kunalganglani.com/blog/ai-agent-cost-per-task-2026): Concrete per-task cost breakdown for Aider, Claude Code, and OpenHands — covering token overhead per PR, monthly burn at team scale, and the break-ev…

## 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