Pristren blog
Practical perspectives on AI, software engineering, and building better products.
Featured posts
- Machine Learning11 min read
Machine Learning: Complete Guide for Software Developers
Learn machine learning as a software developer with this complete guide covering Python, algorithms, mathematics, projects, deep learning, and a practical roadmap.
Developer Tools5 min readWhat Is MCP? Model Context Protocol Explained (2026)
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.
Page 1 of 12 - Developer Tools6 min read
How to Set Up MCP Servers in Claude Code and Cursor
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.
AI Cost & Efficiency4 min readWhy Does MCP Use So Many Tokens? (And How to Fix It)
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.
Page 1 of 12 - Developer Tools6 min read
How Do Claude Code Skills Work? Complete SKILL.md Guide
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.
Developer Tools2 min readClaude Code vs Cursor: Token Cost and Efficiency (2026)
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.
Page 1 of 12 - LLM & Language Models12 min read
Claude Opus 4.8 vs GPT-5.5 vs Gemini 3.1 Pro: June 2026 Benchmarks and Pricing
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.
Developer Tools15 min readWe Built the Same 3D Website with Opus 4.8, Kimi K2.6, DeepSeek V4, and Gemini AI Studio
Same prompt, four tools, measured tokens and time. Live Three.js demos, cost table, and bug counts from Pristren June 3, 2026 test run.
Page 1 of 12 - AI Agents9 min read
How to Build Reliable AI Agents in Production with Durable State
Learn how to build reliable AI agents in production with battle-tested patterns for durable state management, resumable workflows, and fail-safe execution.
AI Agents11 min readDesigning Multi-Agent System Architectures for Enterprise Workflows
How to orchestrate multiple specialized AI agents to solve complex, multi-step business problems. Explore communication protocols and handovers.
Page 1 of 12 - AI Agents8 min read
How to Test AI Agents with Robust Mocks and Integration Suites
Learn how to test non-deterministic AI agents in CI/CD with contract-based mocks, trajectory evaluation, and statistical Pass^k metrics.
Prompt Engineering17 min readPrompt Engineering Complete Guide 2026: Every Technique That Actually Works
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.
Page 1 of 12 - Developer Tools13 min read
Claude Code vs Cursor vs GitHub Copilot: An Honest Comparison for 2026
A real comparison of the three dominant AI coding tools in 2026. Which one is worth paying for, and when should you use each?
AI Cost & Efficiency16 min readCutting LLM API Costs by 50%+: Every Technique That Works in 2026
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.
Page 1 of 12 - AI Scoring & Evals13 min read
How to Evaluate LLMs: Benchmarks, Vibes, and Building Your Own Evals
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.
AI Marketing & SEO16 min readLLM SEO: How to Rank in Perplexity, ChatGPT, and AI Search in 2026
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.
Page 1 of 12 - Artificial Intelligence9 min read
We Replaced 6 SaaS Tools With One: What 6 Months of Real Data Shows
We replaced Slack, Google Meet, TimeCamp, and three other tools with Zlyqor. Here is what the real numbers look like after 6 months.
LLM & Language Models14 min readHow Large Language Models Work: A Complete Guide Without the Math Overload
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.
Page 1 of 12 - LLM & Language Models7 min read
GPT-4o vs Claude 3.5 Sonnet vs Gemini Pro vs Deepseek V3: Honest Comparison 2026
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.
AI Marketing & SEO8 min readGoogle Search Console: The Complete 2026 Guide for Developers and Marketers
Everything you need to know about Google Search Console - from verifying ownership to reading the Performance report and fixing index coverage errors.
Page 1 of 12 - Open Source AI11 min read
Ollama Complete Setup Guide for Local Large Language Models
Master Ollama local LLM deployment with multi-platform installation, Modelfile customization, REST API integration, Open WebUI, and hardware tuning.
Machine Learning8 min readUnderstanding Transformer Architecture: The Foundation of Modern AI
A comprehensive guide to transformer architecture, attention mechanisms, and how they revolutionized natural language processing and beyond.
Page 1 of 12 - AI Agents10 min read
Building Intelligent AI Agents with LangChain and GPT-4
Learn how to create autonomous AI agents that can reason, plan, and execute tasks using LangChain, GPT-4, and modern LLM orchestration techniques.
Full-Stack Engineering12 min readMastering React Native Performance Optimization for Fluid 60 FPS Mobile Apps
A deep engineering guide to React Native performance optimization, covering the New Architecture, Fabric rendering, Hermes heap profiling, and list virtualization.
Page 1 of 12
Recent posts
Machine Learning: Complete Guide for Software Developers
Learn machine learning as a software developer with this complete guide covering Python, algorithms, mathematics, projects, deep learning, and a practical roadmap.
GPT-6 Astra Guide: Architecture, Benchmarks, and Production Agent Patterns
An in-depth engineering guide to GPT-6 Astra. We analyze ARC-AGI-3 benchmark reality, computer-use protocols, token caching economics, and production agent loops.
GPT-6 Astra: Architecture, Benchmarks, Pricing, and Safety Analysis
An exhaustive technical guide to GPT-6 Astra. Discover its MoE architecture, constitutional alignment, empirical benchmark scores, and production upgrade economics.
How to Use Claude to Make Videos Like Vox and Others
Claude can help you make Vox-style videos by generating scripts, editing with code, and automating animation. Here's a practical guide with real workflows and costs.
OpenAI Ends Cursor Model Access on Nov 12, 2026: What Developers Need to Know
OpenAI will terminate Cursor's access to its models on November 12, 2026, following SpaceX's acquisition. This guide explains the timeline, why it happened, and practical steps to migrate your workflow.
What is GPT-5.5 Codex reasoning-token clustering may be leading to degraded performance? A Practical Overview
Recent reports on GitHub suggest GPT-5.5 Codex's reasoning-token clustering causes degraded code quality. This post explains the mechanism, shows concrete examples, and offers practical mitigations.
What is Codex starts encrypting sub-agent prompts? A Practical Overview
OpenAI Codex now encrypts sub-agent prompts by default. This change affects how agentic systems share context between sub-agents. Here's what it means for your AI pipelines.
GPT-5.6 Sol Ultra in Codex: Architecture, Speed, and the Realities of AI Pair Programming
An in-depth developer guide to GPT-5.6 Sol Ultra in Codex. We examine syntax-aware tokenization, sub-200ms IDE latency, benchmark reality, and PR review safeguards.
I Used Claude Code to Get a Second Opinion on My MRI: A Practical Overview
A developer fed his MRI scan to Claude Code and got a second opinion. Here's how the experiment worked, what it cost, and why you shouldn't rely on it for medical decisions.
What is Claude Code is steganographically marking requests? A Practical Overview
Claude Code steganographically marks requests by embedding invisible patterns in prompts to trace misuse. Here's how it works, the technical tradeoffs, and what developers should know.
Building reliable agentic AI systems: A Practical Overview
A practical guide to building reliable agentic AI systems covering structured outputs, observability, fallbacks, and cost controls with real code examples.
Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
Tokenomics quantifies token usage per step in agentic software engineering. This post breaks down the numbers, tradeoffs, and practical tips for cost optimization.
