Explainers
14 articles on this topic, newest first.
2026
- npx skills: How to Install, Update and Manage Agent Skills in 2026A practical npx skills guide: preview, install, scope, pin, update and remove Agent Skills for Claude Code, Codex and Cursor, with tested commands.13 min
- API Integration: The Definitive Guide to Styles, Patterns, Auth and ReliabilityAPI integration explained from the specs: REST, GraphQL, gRPC and webhooks, integration patterns, OAuth 2.1, idempotency, retries, OWASP risks and LLM APIs.18 min
- Claude Opus 5.5: A Practical Guide to Pricing, the API and MigrationClaude Opus 5.5 for builders: specs, pricing, prompt caching and batch savings, effort, API code, model choice, migration and gateway routing.18 min
- The Definitive Guide to the Service Integration BusService integration bus explained: IBM WebSphere SIBus components, the ESB pattern, ESB vs microservices and Kafka, SIBus migration paths, and AI gateways.16 min
- Agentic Workflows Explained: Patterns, Examples, and What Breaks in ProductionAgentic workflows explained, from the workflow vs agent split and five core design patterns to real examples and the failures that hit production.18 min
- Prompt Injection Attacks: How They Work and How to Prevent ThemHow prompt injection attacks work, from direct and indirect injection to MCP tool poisoning, with real incidents, OWASP LLM01 and layered defenses.19 min
- vLLM vs Ollama: Which Local LLM Engine Fits Your WorkloadvLLM vs Ollama compared on architecture, throughput, hardware, quantization, multi-GPU and APIs, with published benchmarks and when to run both.18 min
- What Is Sovereign AI? The Race to Own the AI StackSovereign AI means controlling the compute, models, data and control plane behind AI. The 2026 national programs, the rules, and the enterprise version.18 min
- Not all AI models are LLMs: seven model families and how they differAutoregressive LLMs, reasoning models, diffusion LLMs, Mamba hybrids, mixture-of-experts, world models and robot VLAs, explained by what each one predicts and how it spends compute.14 min
- JEPA, explained: Yann LeCun's bet against next-token predictionWhat a Joint Embedding Predictive Architecture is, how I-JEPA and V-JEPA 2 work, why LeCun thinks it beats LLMs, and what the evidence shows so far.16 min
- Fast and slow: System 1 vs System 2 AI models, explainedWhat people mean by System 1 and System 2 AI, how reasoning models like o1 and R1 learned to think slowly, and why frontier models now decide for themselves.16 min
- How to read an AI benchmark without getting fooledA checklist for reading AI benchmark results, from sample size and contamination to saturation, so you can tell a real capability jump from a rounding error.2 min
- A field guide to AGI forecastsSurveys, prediction markets and trend extrapolation all produce AGI dates. Here is how each forecasting method works, what it is good at, and how to read the numbers.2 min
- What counts as AGI? Five definitions, comparedArtificial general intelligence means different things to different labs and researchers. We compare five influential definitions and what each one asks you to measure.3 min