From the Blog
Web & AI Engineer · Founder @ Octively
Build autonomous AI employees in Python using Model Context Protocol (MCP). Learn tool integration, execution loops, and production setup step by step.
Stop babysitting fragile AI agents. Use durable execution, self-correction, and tracing patterns to keep multi-step workflows running through crashes and state loss.
Independent analysis reveals that while GPT-6 Astra excels in agentic tasks, its raw intelligence matches previous models, making cost-per-task analysis essential.
Discover how AI-driven engineering shifts software development from manual syntax typing to strategic product building and architectural oversight.
TanStack Start beats Next.js on type safety and host portability. Compare both full-stack React frameworks in 2026 to choose the right stack.
Master modern AI agent architecture beyond basic LLM wrappers with this practical roadmap covering agent loops, memory, multi-agent teams, and MCP.
Master Spec-Driven Development in Claude Code with a 5-step workflow for reliable AI coding, persistent CLAUDE.md files, and phased implementation gates.
Pair OpenAI's Agents SDK with MCP to wire databases, APIs, and files into agents in minutes. Here is the exact setup, handoff pattern, and security checklist.
Discover how to coordinate Claude Code sub-agents, enforce automated review gates, and scale parallel software delivery without token bloat.
