Essays on multi-agent delivery, security failures, and the architectural trade-offs that matter when systems leave the demo stage.
The AI coding tool market isn't consolidating — it's layering. Cursor orchestrates, Claude Code executes, Codex reviews. Here's why that matters.
Read article →OpenAI updates its Agents SDK with sandboxing and an in-distribution harness for frontier models. Here's why that matters and what's still missing.
Read article →The Opus 4.7 rumours are less important than the surrounding product moves. Anthropic is clearly expanding from model vendor to full workflow platform.
Read article →Agentic.ai is a useful signal that the AI tools market is getting crowded enough to need curation, scoring, and actual judgment instead of another flood of generic directories.
Read article →Microsoft experimenting with an OpenClaw-like agent inside 365 Copilot is the clearest sign yet that local, long-running AI agents are moving out of hobbyist territory and into the enterprise stack.
Read article →Getting Started: Getting Started with Claude — Mac Desktop App and Subscription
Read article →Getting Started: Getting Around the App — Interface and Keyboard Shortcuts
Read article →Getting Started: Your First Agent Session: Getting Real Work Done
Read article →Getting Started: Basic Commands and How to Talk to Claude
Read article →Getting Started: Understanding Contexts — What the Model Remembers
Read article →Core Workflows: Code Review — Asking Claude to Critique Your Work
Read article →Core Workflows: Debugging with Claude — From Error to Fix
Read article →Core Workflows: Multi-Turn Conversations and Deep Threads
Read article →Core Workflows: Getting Structured Output — JSON, Markdown, and More
Read article →Core Workflows: Using Tools — Bash, Web Search, and Everything Else
Read article →Core Workflows: Memory and Continuity Across Sessions
Read article →Core Workflows: File Editing: Reading, Writing, and Navigating Code
Read article →Core Workflows: Prompt Engineering That Actually Works
Read article →Intermediate: Working with Documentation
Read article →Intermediate: Integrations: Connecting Claude to Your Development Environment
Read article →Intermediate: Keyboard-First Development: Building the Foundation
Read article →Intermediate: Setting Up a New Project with Claude
Read article →Advanced: Autonomous Tasks: Delegating Real Work to Claude
Read article →Advanced: Chain-of-Thought: Asking Claude to Think Step by Step
Read article →Advanced: Context Optimisation: Managing Long Conversations
Read article →Advanced: Cost Optimisation: Getting the Most Value from Claude
Read article →Advanced: Custom Prompts: Shaping Claude's Behaviour for Your Context
Read article →Advanced: Enterprise Patterns: Using Claude at Scale
Read article →Advanced: Evaluation: Knowing Whether Claude Is Working Well
Read article →Advanced: Multi-Agent Setups and When to Use Them
Read article →Advanced: Security: What Claude Can and Cannot Be Trusted With
Read article →Expert: Agent Orchestration: Coordinating Multiple Agents
Read article →Expert: Building Products with AI as a Component
Read article →Intermediate: Writing Tests: What to Test and How to Test It
Read article →Intermediate: Context Windows: Giving Claude the Right Amount of Information
Read article →Intermediate: Git Workflow: Using Claude with Version Control
Read article →Intermediate: Refactoring with Claude: Improving Code Systematically
Read article →Advanced: Error Handling: Debugging and Graceful Failures
Read article →Expert: Claude Runtime and the API: Building at Scale
Read article →Expert: Community: Building an Audience Around Your Product
Read article →Expert: Evaluating Models for Your Product
Read article →Expert: The Future of AI in Software Development
Read article →Expert: Monetisation: Building Products That Use Claude
Read article →Expert: Your Learning Journey Continues
Read article →Expert: Self-Hosted vs Managed Agents: What Suits Your Use Case
Read article →Peter Steinberger - the creator of OpenClaw, now employed at OpenAI - was briefly locked out of his Anthropic account. The timing with Anthropic's recent OpenClaw pricing change makes it look like more than a clerical error.
Read article →Apple and Google announced a multiyear partnership to bring Gemini-powered AI to Siri. For Apple, it's an admission that building its own foundation models isn't working. For Google, it's another default-search-deal-sized win.
Read article →A leaked memo reveals the infrastructure gap between OpenAI and Anthropic is widening. OpenAI is at 1.9 gigawatts. Anthropic is at 1.4. The question is whether compute equals quality.
Read article →Getting Started: What Is Claude and Why It Changes How You Work
Read article →Anthropic has entered the managed agent runtime space. Here's what their public beta actually offers, where it overlaps with tools like Claude Code and OpenClaw, and what it means if you're already running your own agent harness.
Read article →Android AppFunctions lets apps expose typed, discoverable capabilities that AI agents like Gemini can invoke directly — no UI required. It's Android's answer to MCP, and it's shipping in Android 16. Here's what it means for your product.
Read article →Automations, self-hosted cloud agents, JetBrains ACP support, and 30+ new plugins — Cursor has quietly shifted from AI-assisted coding tool to agent runtime. Here's what that transition actually means for how you build.
Read article →Shopify isn't adding AI features — it's rebuilding its platform so that autonomous agents can buy, sell, and transact on behalf of humans. Here's what that means for engineering teams and storefronts building on top of it.
Read article →NemoClaw isn't a new agent framework — it's the governance and security infrastructure that makes OpenClaw deployable in production. One command installs the whole stack. Here's what's actually in the box.
Read article →NVIDIA's surprise pre-announcement has the enterprise AI world paying attention.
Read article →KYC verifies buyers and KYB verifies sellers. In agentic commerce, we also need KYA to verify autonomous agents acting with purchasing authority.
Read article →Why Home Assistant + Assist + MCP is a practical stack for moving from scripted automations to intent-driven household systems with real control, privacy, and extensibility.
Read article →A practical guide to designing multi-agent systems with clear orchestration, bounded autonomy, and consensus strategies that improve reliability instead of adding complexity.
Read article →Three years ago, the practical vocabulary of applied AI was modest: fine-tune a model, wrap it in an API, ship. Today, building intelligently with AI means navigating a rapidly maturing stack — retrieval, orchestration, autonomy, commerce.
Read article →A Principal Engineer's view on how multi-agent systems can improve delivery throughput, quality, and team focus without compromising engineering rigour.
Read article →A Principal Engineer's practical guide to securing OpenClaw in side projects without adding heavyweight process.
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