Dev Guides
Python SDK, LangChain and automation
Claude Sonnet 5.5 migration guide: route work by task and effort, not benchmark scores
Use Claude Sonnet 5.5 with a task-routing, effort-testing, cost-tracking, and rollback workflow for coding and knowledge work.
Context engineering in practice: build a maintainable operating system for AI agents
A context engineering guide for AI agents. Use task briefs, AGENTS.md, scoped Skills, executable references and task evaluations to reduce guessing and rework.
Can Connecting ChatGPT Web to Codex Save Tokens? Two Open-Source Workflows and Their Limits
Can ChatGPT Web reduce Codex token use? Compare codex-chatgpt-web and codex-with-chatgpt, then assess subscription quota, API billing, tool permissions, data exposure, and a safe trial checklist.
How to Use free-for.dev to Ship an MVP Without Collecting 1,000 Free Tools
Learn how to use free-for.dev to select free developer services for hosting, databases, storage, email, monitoring, and AI. Build a testable MVP with a practical service-selection worksheet and pre-launch checklist.
Explain Complex Ideas Clearly: A Reusable Workflow Inspired by the ELI5 Skill
How to use an ELI5 Skill for complex concepts: copy a practical prompt, build a layered explanation, create readable HTML explainers, and review the result with a concrete quality checklist.
How to Reduce GPT-6 Astra Token Costs: A Practical Workflow for Reasoning, Context, and Agents
A practical GPT-6 Astra token optimization guide covering reasoning effort, prompt caching, tool search, previousresponseid, compaction, and measuring retries and cost per accepted task through ClaudeAPI.
Running Low on Codex Usage? Hand Off the Hard Reasoning to ChatGPT
Running low on Codex usage? This practical Codex Bridge to ChatGPT guide shows how to hand difficult reasoning to ChatGPT while keeping repository access, edits, and tests local. Includes installation, Context Packet design, privacy boundaries, result verification, use cases, and API alternatives.
How to Build a Production Claude Agent Stack
A practical guide to combining Claude Computer Use, Browser Use, Skills API, and Files API into an agent that can research, act, create files, and stop for human approval.
HTTP 200, business failure: 7 API acceptance checks
HTTP 200 does not prove an LLM response is complete, parseable, or executed. Use these seven checks before shipping an AI API integration.
Anthropic Knowledge Work Plugins: A Practical Team Guide for Claude Workflows
A practical guide to Anthropic's knowledge-work-plugins: what plugins are, how they differ from Skills and MCP connectors, which ones teams should install first, and how to manage security, cost, and local tool adaptation.
Claude Opus 5 System Prompt Lessons: Write Cleaner CLAUDE.md Rules for Agent Workflows
Public discussion around Claude Opus 5's system prompt points to a practical lesson: stronger agents need cleaner project rules, explicit boundaries, skill routing, and model-cost discipline.
AI Workflow Maturity Assessment: From Chat Prompts to Reusable Agent Workflows
A practical seven-level self-assessment for moving from one-off AI chats to repeatable AI workflows with context, templates, permissions, cost tracking, and human review.