23 posts
How do you do tool definition in agent architecture? A good tool schema: a clear name, a description that says when to use it, well-typed parameters, and readable errors.
The 2026 agent protocol stack: MCP for tools, A2A for agent coordination. The attack surface each brings, OWASP agentic risks, and enterprise security controls.
In 2026, work runs through orchestration of specialized agents. Six production patterns, MCP/A2A standards, and the cost-debugging-governance triad.
MCP connects tools, A2A connects agents. The Agentic AI Foundation, signed Agent Cards, and the three-layer stack: the 2026 map of enterprise multi-agent architecture.
Gartner says 40% of agentic projects will be cancelled by 2027 — not for model reasons, but for missing governance, cost control and audit.
What is function calling? Function calling is when a language model understands a natural-language request and produces, as structured JSON, which predefined function to call and with what arguments. This guide: a clear definition, why it is needed, how it works, JSON schema, tool use, API integration, its relation to MCP, security, and FAQs.
What is Agentic AI? A clear definition of agentic (agent-based) AI, its difference from an AI agent, the perceive-plan-use-tools-evaluate loop, multi-agent orchestration, MCP, workflow automation, KVKK, and enterprise use in this comprehensive guide.
What is MCP? The Model Context Protocol is an open standard connecting AI models to tools and data — the USB-C of AI. Architecture, MCP servers, agents, and enterprise integration in this guide.
What is artificial intelligence? Artificial intelligence (AI) is the set of disciplines that enable machines to imitate human-like learning, reasoning, perception, and decision-making. This guide is a 2026 reference covering AI's definition, types, core technologies, industry applications, and Turkey-specific regulatory context.
Agents now talk to each other: MCP connects tools, A2A connects agents. A2A at 150+ orgs, MCP on 10,000+ servers. A practical adoption path for Turkish enterprises.
A concrete roadmap to land a global remote AI Engineer position from zero in 12 months: 5 production-level projects, GitHub portfolio + blog strategy, $200K+ offer. Karpathy, Raschka, 3Blue1Brown, Andrew Ng curriculum; HuggingFace + LangChain + Anthropic Academy free programs; Turkish alternatives; case study (14-month timeline); and interview strategy for top offers.
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.
Detailed head-to-head of three main open-source AI coding plugins: Cline (formerly Claude Dev, most popular open-source agent), Roo Code (Cline fork, more flexible), Continue (most mature open-source plugin). VS Code/JetBrains compatibility, BYO API key (Claude/GPT/Gemini/local Ollama), MCP integration, pricing (FREE plugin + API cost), practical use for Turkish developers, KVKK + self-host advantages, 10-scenario decision guide.
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 comprehensive Turkish guide from zero to advanced for Cursor Editor: installation, VS Code import, Cursor Tab, Composer (Cmd+I), Cursor Agent, @-mention system (@Files, @Codebase, @Web, @Docs), Project Rules, model selection (Claude/GPT-5/Gemini), Privacy Mode, MCP integration, terminal, debugging, and advanced features. 12 use cases + 30+ shortcuts for Turkish developers.
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 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.