Deep dives into artificial intelligence tools, practical guides, and expert perspectives on the technologies shaping tomorrow.
13 articles found in Development
NVIDIA's OSMO is now free on GitHub. One YAML file runs robot training, simulation, and testing across any Kubernetes cluster. Here is how it works.
OpenAI put GPT-Live-1 in the API on Sep 10, 2026 - a full-duplex voice layer at $0.05/min billed per second. Covers architecture vs STT-LLM-TTS, backend pairing, free tier unsupported, and when to keep Vapi or LiveKit.
OpenAI Agents API public beta (Sep 10, 2026): sessions on /v1/agents/sessions, openai_hosted vs self_hosted, container rates, security defaults, and when to use ChatGPT Work or GPT-Live-1 instead.
Beyond Cursor and Claude Code, a growing group of open-source AI coding tools is solving specialized problems. Discover Aider, Goose, Cline, Kilo Code, and Plandex—and see what each does best, how they differ, and which fits your workflow.
Grok Build is making a serious push into AI coding with an open-source Apache 2.0 harness, Claude Code compatibility, subagents, MCP support, and low-cost Grok models. See what changed, how it compares with Claude Code and OpenCode, and where trust and security still matter.
Meta’s Muse Code is a coding agent built for long-running tasks. It uses parallel agents, a 1M-token context window, and much cheaper contributor pricing. The trade-off: Meta can use your prompts and completions for training.
Vibe coding changed how people build software with AI but blindly accepting generated code comes with serious risks. Discover what vibe coding really means, where it works, where it fails, and why developers are moving toward agentic engineering.
Still uploading files and copying data into AI chats? MCP changes that by connecting AI directly to your tools, databases, files, and workflows. Here's how the protocol works and why it matters.
A clear, fun, and easy-to-understand developer guide to Google Antigravity: IDE, Desktop 2.0, CLI, Python SDK, Gemini 3.7 Flash, and power tips.
AI-generated code can dramatically speed up development, but poor review practices often lead to bugs, security issues, and expensive rebuilds. Discover how to avoid the hidden costs.
AI-assisted software development is shifting from single-tool workflows to specialized AI stacks. Discover why developers combine Claude Code, Cursor, GitHub Copilot, and other AI coding tools to improve productivity.
Discover how the Model Context Protocol (MCP) works, why OpenAI, Anthropic, Google, and Microsoft support it, and how it simplifies AI tool integration for developers.
