The Manifest.
More posts from The Manifest, paginated so the main blog stays lighter and faster to load.
How to Add Claude to Your App Using the Anthropic API
A practical guide to integrating Claude into your app with the Anthropic SDK — from first call to streaming and cost management.
I Used Claude to Review My Code for a Week. Here Is What It Caught.
A week-long experiment using Claude as a daily code reviewer on a real Node.js project — bugs found, security issues caught, and what actually changed.
GitHub Actions Secrets: Best Practices to Secure Credentials
Stop leaking credentials in CI/CD. Learn to store, scope, and manage GitHub Actions secrets correctly while avoiding common pitfalls that expose API keys.
Python List Comprehensions: Syntax, Examples & Tips
Master Python list comprehensions with clear examples. Learn when to use them for cleaner code, how to add filters, and when a regular loop is still better.
Chaining Agent Skills: Research, Summarize, and Save
Build a skill chain where an agent searches the web, summarizes findings, and saves results to a file — all from a single prompt. Full Node.js walkthrough.
What Is a Context Window and Why Should Developers Care?
Understand the context window, the 'active memory' of AI models. Learn how to manage it to keep your apps fast, cost-effective, and accurate during sessions.
What Is an LLM? A Plain English Guide for Developers
Forget the hype and the PhD jargon. An LLM is just a very big autocomplete engine. Here is how it actually works and why it sometimes lies to your face.
Testing and Debugging Agent Skills Before You Deploy
Skills that work alone fail differently inside an agent loop. Unit test your tools, mock AI calls, and debug the full tool_use cycle in Node.js.
Prompts That Go Wrong: What I Learned Shipping AI Features
See real-world examples of AI prompts that broke in production and how to fix them. A guide for writing precise, reliable prompts for real users and apps.
What Is RAG and When Does It Actually Help?
Retrieval-Augmented Generation (RAG) explained simply. Learn how vector search works, when to use it, and see a working Python example for your next project.
Kubernetes Cheat Sheet: Every kubectl Command You Actually Need
Complete Kubernetes reference with copy-paste kubectl commands for pods, deployments, services, namespaces, config, scaling, logs, exec, and troubleshooting.
Docker Desktop Was Killing My Laptop. Here Is What Fixed It.
Is Docker Desktop killing your laptop? Fix high RAM usage and fan noise with memory caps, layer caching, and optimized dev images for better performance.
Prompt Engineering Is Dead. Long Live System Prompts.
Forget magic prompt tricks. Learn what actually works in 2026: clear system prompts, few-shot examples, explicit constraints, and robust evaluation methods.
What Is OpenClaw? The Self-Hosted AI Agent You Actually Own
OpenClaw is a self-hosted AI agent that runs on your hardware and connects to 20+ messaging apps. Learn how it keeps your data off the cloud.
Handling Errors in Agent Skills: Retries and Fallbacks
What happens when a tool fails? Handle errors in agent skills — timeouts, bad API responses, retries, and graceful fallbacks with real Node.js code.
AI Mistakes When Building Apps (And How to Fix Them)
Avoid the hidden AI mistakes developers make when building apps. Learn how to fix architectural blunders, handle hallucinations, and manage costs effectively.
Designing AI-Native Features: What to Build vs What to Prompt
A practical framework to decide when to use AI vs. code. Learn how to avoid common AI design traps, manage latency, and architect reliable AI-native features.
MySQL - LinkedIn Skill Assessments Quizzes with Answers
In this article, you will find LinkedIn Assessment, Questions and Answers for MySQL.
LangGraph vs CrewAI vs Claude Agent Teams: 2026 Comparison
Compare the top multi-agent frameworks of 2026: LangGraph, CrewAI, and Claude Agent Teams. Pick the right tool for your AI project with our detailed breakdown.
Multi-Agent Systems Explained: Scaling AI Beyond One Agent
Discover how multi-agent systems work. Learn about orchestrator patterns, subagents, and Claude Agent Teams to build scalable, specialized AI worker squads.
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