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Insights on AI, Machine Learning, Web Development, and emerging technologies from industry experts.
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PristrenPristrenInsights on AI, Machine Learning, Web Development, and emerging technologies from industry experts.
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MCP is the open standard that lets Claude Code, Cursor, and Copilot call your tools and APIs through one protocol — here is how it works and why it matters in 2026.
Mahmudul Haque Qudrati
CEO & ML Engineer
Add MCP servers to Claude Code with one CLI command or to Cursor via mcp.json — complete 2026 setup for GitHub, filesystem, and remote HTTP servers.
Mahmudul Haque Qudrati
CEO & ML Engineer
MCP tool definitions can eat half your context window before you prompt. Here is why — and six fixes that actually work in Claude Code and Cursor.
Mahmudul Haque Qudrati
CEO & ML Engineer
Skills are SKILL.md playbooks Claude Code loads on demand — encode your team workflows once, trigger by slash command or context match. No more copy-pasting deploy checklists.
Mahmudul Haque Qudrati
CEO & ML Engineer
Independent 2026 benchmarks show Claude Code completing the same coding task in ~33K tokens vs Cursor ~188K — here is the dollar math and when each tool still wins.
Mahmudul Haque Qudrati
CEO & ML Engineer
AA Index 61 vs 60 vs 57. SWE-Bench Pro, GDPval-AA, pricing tables, and where each model loses. Updated June 3, 2026 with primary source benchmarks.
Mahmudul Haque Qudrati
CEO & ML Engineer
Same prompt, four tools, measured tokens and time. Live Three.js demos, cost table, and bug counts from Pristren June 3, 2026 test run.
Mahmudul Haque Qudrati
CEO & ML Engineer
How to orchestrate multiple specialized AI agents to solve complex, multi-step business problems. Explore communication protocols and handovers.
Mahmudul Haque Qudrati
CEO & ML Engineer
Every major prompt engineering technique with real before-and-after examples. Zero-shot, CoT, system prompts, RAG, ReAct, and what does not work despite the hype.
Mahmudul Haque Qudrati
CEO & ML Engineer
A real comparison of the three dominant AI coding tools in 2026. Which one is worth paying for, and when should you use each?
Mahmudul Haque Qudrati
CEO & ML Engineer
Ollama lets you run Llama 3.3, Mistral, Phi-3, and Deepseek-R1 on your own hardware for free. Complete setup guide, hardware requirements, and real use cases.
Mahmudul Haque Qudrati
CEO & ML Engineer
Six proven techniques to reduce your LLM API spend. Real pricing numbers, a startup case study reducing from $800 to $320/month, and specific implementation guidance.
Mahmudul Haque Qudrati
CEO & ML Engineer
Benchmarks are gamed and vibes do not scale. Here is how to build real evaluations that tell you whether an LLM actually works for your specific use case.
Mahmudul Haque Qudrati
CEO & ML Engineer
AI-powered search now drives over 100M queries per month. Here is how to get your content cited by Perplexity, ChatGPT Search, and Google AI Overviews.
Mahmudul Haque Qudrati
CEO & ML Engineer
We replaced Slack, Google Meet, TimeCamp, and three other tools with Zlyqor. Here is what the real numbers look like after 6 months.
Mahmudul Haque Qudrati
CEO & ML Engineer
A plain-English guide to how LLMs actually work: tokens, attention, training vs inference, why they hallucinate, and what context windows mean for your workflow.
Mahmudul Haque Qudrati
CEO & ML Engineer
Real benchmark scores, exact pricing, and honest assessments of what GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and Deepseek V3 are genuinely best at in 2026.
Mahmudul Haque Qudrati
CEO & ML Engineer
Everything you need to know about Google Search Console - from verifying ownership to reading the Performance report and fixing index coverage errors.
Mahmudul Haque Qudrati
CEO & ML Engineer
Install Ollama on any platform, pull models in one command, and serve an OpenAI-compatible REST API - all without sending data to the cloud.
Mahmudul Haque Qudrati
CEO & ML Engineer
A comprehensive guide to transformer architecture, attention mechanisms, and how they revolutionized natural language processing and beyond.
Mahmudul Haque Qudrati
CEO & ML Engineer
Learn how to create autonomous AI agents that can reason, plan, and execute tasks using LangChain, GPT-4, and modern LLM orchestration techniques.
Joy Shib
ML Engineer
Master React Native performance optimization techniques including lazy loading, memoization, native modules, and profiling tools for smooth 60 FPS apps.
Kamruzzaman
Lead Developer
Deep dives into ML algorithms, models, and applications
AI trends, techniques, and real-world implementations
How LLMs work, honest comparisons, and production usage
Every technique that works — with real examples
Claude Code, Cursor, Copilot, open-source tools reviewed honestly
Local LLMs, open models, free AI infrastructure
Fewer tokens, cheaper APIs, local alternatives with real numbers
Benchmarks explained, evaluation frameworks, model testing
LLM SEO, AI SEO, Google AI Overviews, developer marketing
iOS, Android, and cross-platform mobile app development
Modern web technologies, frameworks, and best practices
Data analysis, visualization, and engineering insights
Autonomous agents, LLM applications, and intelligent systems
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Harness engineering is OpenAI's approach to building agentic systems with Codex. This post explains the core ideas, shows concrete code, and discusses tradeoffs for production use.
Mahmudul Haque Qudrati
CEO & ML Engineer
SpaceX is reportedly buying Cursor, the AI code editor, for $60 billion. Here's what developers need to know about the deal and its impact on AI coding tools.
Mahmudul Haque Qudrati
CEO & ML Engineer
A hands-on guide for developers entering computer vision: pick the right library, write your first pipeline, and avoid common pitfalls.
Mahmudul Haque Qudrati
CEO & ML Engineer
pnpm is fast and disk-efficient, but not always the right fit. Here are the top alternatives with honest tradeoffs.
Mahmudul Haque Qudrati
CEO & ML Engineer
MCP is the open standard that lets Claude Code, Cursor, and Copilot call your tools and APIs through one protocol — here is how it works and why it matters in 2026.
Mahmudul Haque Qudrati
CEO & ML Engineer
Add MCP servers to Claude Code with one CLI command or to Cursor via mcp.json — complete 2026 setup for GitHub, filesystem, and remote HTTP servers.
Mahmudul Haque Qudrati
CEO & ML Engineer
The MCP servers developers actually use in 2026 — GitHub, Playwright, databases, Figma, observability — ranked by workflow impact and context cost. Install three to five max.
Mahmudul Haque Qudrati
CEO & ML Engineer
MCP tool definitions can eat half your context window before you prompt. Here is why — and six fixes that actually work in Claude Code and Cursor.
Mahmudul Haque Qudrati
CEO & ML Engineer
Skills are SKILL.md playbooks Claude Code loads on demand — encode your team workflows once, trigger by slash command or context match. No more copy-pasting deploy checklists.
Mahmudul Haque Qudrati
CEO & ML Engineer
Skills teach the agent your workflow; MCP connects live systems. Here is when to use each — and the hybrid pattern HN devs settled on in 2026.
Mahmudul Haque Qudrati
CEO & ML Engineer
Independent 2026 benchmarks show Claude Code completing the same coding task in ~33K tokens vs Cursor ~188K — here is the dollar math and when each tool still wins.
Mahmudul Haque Qudrati
CEO & ML Engineer
OpenCode runs Claude, GPT, Gemini, or local Ollama models in one terminal agent — Claude Code is official, polished, and Anthropic-native. Honest 2026 comparison.
Mahmudul Haque Qudrati
CEO & ML Engineer