18 posts
What is Claude? Claude is an AI assistant built by Anthropic on top of a large language model. This guide: a clear definition, how Claude works, its model families, use cases, a comparison with ChatGPT, the safe-AI approach, data protection, and FAQs.
Prompt caching cuts input token cost up to 90% on Anthropic and 50% on OpenAI. I cover both approaches, when to pick which, and cache-hit design patterns.
In Türkiye, AI Engineer average is 50,500 TL (Eleman.net), Istanbul 75-110K TL, Senior 180K TL+. Globally, OpenAI/Anthropic/DeepMind L6+ roles hit $850K-$1.28M (Levels.fyi). LinkedIn AI Engineer demand YoY +74%. City, experience, equity, tax (Wise, sole-prop), and Türkiye-to-remote transition strategy — complete data report.
Claude Code (Anthropic), Cursor (Composer 2.5), and Windsurf (Cascade) — the three major AI coding assistants as of May 2026. SWE-bench Verified and SWE-bench Pro scores, pricing (Pro $20, Max $200, Cursor Business $40, Windsurf Pro $15), agent modes, hybrid setup recommendations, and adoption guidance for Turkish engineering teams.
How do you connect Claude Code, Cursor, and VS Code to enterprise tools through the Model Context Protocol (MCP)? Step-by-step setup, prompt examples, token economics, and a TypeScript guide for writing custom MCP servers across GitHub, Linear, Slack, PostgreSQL, Salesforce, BigQuery, Figma, Notion, Confluence, and Filesystem.
Anthropic's Multi-Agent Research system beat single-agent Claude Opus by 90.2% on internal research evals using an orchestrator-worker pattern. This guide covers lead agent + parallel subagent architecture, structured artifact handoffs, planner-generator-evaluator loops, Claude Agent SDK with .claude/agents/, cost caps, deadlock prevention, comparisons with CrewAI/LangGraph/AutoGen, and a Turkish law-firm contract-analysis case.
Launched by Anthropic in November 2024, the Model Context Protocol (MCP) became the 'USB-C of AI' in 2026 — with 5,000+ servers, adoption by OpenAI, Google, Microsoft, and Salesforce, and its own Wikipedia page. This guide covers MCP's three primitives, transport layer, OAuth 2.1, building your own server, security risks, and Turkish-market opportunities for Yargıtay/BIST/KVKK-style MCPs.
We benchmarked GPT-5.5, Claude Opus 4.7 and Gemini 3.1 Pro on Turkish workloads end to end: TR-MMLU and TUMLU benchmark numbers, a 50-prompt real-world test across legal, finance, code, creative writing and Q&A, an A/B in a Turkish enterprise, TL-based cost analysis and a decision matrix for picking the right model for each Turkish task. 35+ references.
Prompt engineering is dead, context engineering is alive. Anthropic's 90% cost-cutting prompt caching, GPT-5.5's 272K input threshold, Claude Opus 4.7's 1M context, and agent runtime state management are rewriting AI engineering in 2026. Turkish token efficiency, KVKK-compliant state stores, the 'Don't Break the Cache' principle.
Detailed head-to-head of three main agentic AI coding tools: Replit Agent (cloud IDE + hosting native), Cursor Agent / Composer Agent (in-IDE background autonomy), Claude Code (terminal-native CLI). Operating model, multi-step capability, MCP integration, pricing, Turkish experience, KVKK posture, 12-scenario decision guide.
A zero-to-advanced Turkish guide for Anthropic's terminal-native agentic code assistant Claude Code: installation (npm/Homebrew), CLAUDE.md file, slash commands, MCP server integration (GitHub, Postgres, Linear), hooks (PreToolUse, PostToolUse, Stop), sub-agents, IDE integration (VS Code, JetBrains, Neovim), cost optimization, KVKK compliance. 15 practical commands + 8 use cases.
Detailed head-to-head of Cursor, Claude Code, and GitHub Copilot: model access (Claude Opus 4 + GPT-5 + Gemini), agentic coding, MCP integration, terminal vs IDE, pricing, Turkish developer experience, KVKK + code leakage risk, 12 scenario-based selection. Practical advice for Turkish software teams.
A head-to-head comparison of the two 2026 flagship AI models — Anthropic Claude Opus 4.7 and OpenAI GPT-5. Architecture and training philosophy differences (Constitutional AI vs RLHF), benchmark results (MMLU, HumanEval, GSM8K, hallucination), Turkish performance, code generation, reasoning, long context (1M vs 256K), multimodal, agent/tool use/MCP, cost, latency, safety, and alignment. Use-case-based winner analysis.
An end-to-end comparison of the 2026 versions of OpenAI ChatGPT, Anthropic Claude, and Google Gemini. Twelve comparison tables across model families, pricing, Turkish fluency, code generation, long context, multimodal capabilities, voice, video, computer use, custom assistants, agent/MCP support, data privacy, and KVKK compliance. Use-case-based decision matrix for Turkish individual users and enterprise buyers.
A comprehensive Turkish guide to using Anthropic's Claude AI from beginner to advanced. Covers the 1M-context Claude Opus 4.7, Projects, Artifacts, Computer Use, Claude Code, Constitutional AI, MCP integration, plan comparison, and KVKK-compliant strategy for Turkish enterprises in 2026.
A comprehensive Turkish guide that takes prompt engineering from zero to advanced. Covers the 6 components of a prompt, 14 core techniques (zero-shot, few-shot, CoT, ToT, ReAct, self-consistency, meta-prompting), Turkish-specific notes, 20+ ready templates, model-specific differences (GPT-5, Claude Opus 4.7, Gemini 3), prompt injection defenses, DSPy-based automatic optimization, and A/B testing.
A comprehensive 2026 reference explaining how AI agents work, which architectures solve which problems, and what they mean for Turkish enterprises. Covers ReAct, multi-agent, MCP, tool use, computer use, browser agents, frameworks (LangGraph / AutoGen / CrewAI / Claude Code), production concerns, evaluation, security, KVKK compliance, and three anonymized Turkish case studies.
A comprehensive reference for designing, scaling, and shipping Retrieval-Augmented Generation (RAG) systems in production with KVKK compliance. Covers Turkish-capable embedding model selection, vector DB comparison, chunking, hybrid search, re-ranking, hallucination control, eval harness, and three anonymized Turkish enterprise case studies — end-to-end production architecture.