Web Development

We often hear about shiny new tools that change everything (yet again). But in practice, most people don’t need more tools to deal with in their daily lives. What we actually need are better integrations of useful capabilities that neatly align with our existing and established mental models. Users don’t get excited about shiny new […]

null Continue reading Beyond Code Generation: How AI Is Reshaping Modern Software Delivery on SitePoint.

Fable 5 developer readiness guide. Sections: What is Mythos-class (Fable 5 vs Opus 4.8 tier explanation), the dual-model strategy explained (Fable 5 public vs Mythos 5 restricted), developer-relevant capabilities (1M token context for large codebase analysis, 128K output for complete file generation, adaptive thinking for autonomous coding, chart/pdf analysis for documentation tasks), what the June

Claude Sonnet 5 developer decision guide. Sections: What changed from Sonnet 4.6 (agentic capabilities, tool use, longer output stability), Sonnet 5 vs Opus 4.8 vs DeepSeek V4 for coding tasks (decision matrix, not benchmark table), accessing Sonnet 5 via API (model ID: claude-sonnet-5, available on Claude API, Bedrock, Vertex AI), Claude Code integration (how Sonnet

Open source Claude Code fork + local DeepSeek V4 setup guide. Sections: What is OpenClaude (fork vs native, MIT license), why DeepSeek V4 (Anthropic-compatible, MIT license, 1M context), hardware requirements and real performance (M-series MacBook Pro, RTX 4090, laptop – honest speed tests), step-by-step install (Ollama, DeepSeek V4 model pull, OpenClaude config), what works and

Comprehensive guide covering this topic with practical implementation details. Continue reading HALO: Debug AI Agent Traces Locally Without a Cloud Subscription on SitePoint.

Comprehensive guide covering this topic with practical implementation details. Continue reading OpenTelemetry GenAI: Instrument AI Agents Without Sending Data to the Cloud on SitePoint.

The design community has entered a period of conversational tunnel vision. Because Large Language Models (LLMs) are trained on dialogue, the industry has collectively decided that the chat bubble is the natural home for every AI capability. While the chat interface is a viable and powerful option for many tasks, it is one tool in

Learn how to build a production-ready AI meeting assistant with Recall.ai in 48 hours. Covers meeting bot APIs, desktop SDKs, and real-world use cases. Continue reading How to build a production-ready AI meeting assistant with Recall.ai in 48 hours on SitePoint.