25 articles
A practical comparison of the top AI code review tools in 2026, covering GitHub Copilot Code Review, CodeRabbit, Sourcegraph Cody, and others — with pricing, features, and real-world trade-offs.
Microsoft announces general availability of Copilot Workspace, a tool that reads GitHub issues, generates implementation plans, writes code across multiple files, and opens pull requests — all from a single click.
Replit launches Agent 2.0, an AI system that takes a natural language description and autonomously builds, debugs, and deploys a complete web application — including database, authentication, and hosting — in minutes.
Google's prototype AI glasses stole the show at Mobile World Congress 2026, displaying live translated subtitles in-lens while preserving the speaker's original voice and tone.
AI agents can read files, execute code, and call APIs — but what happens when they go wrong? A deep dive into prompt injection, privilege escalation, data exfiltration, and the defense strategies every developer needs.
Vercel launches v0 2.0, an AI-powered development platform that generates complete full-stack applications with databases, authentication, and deployment from natural language prompts.
Sourcegraph's new Cody Context Engine indexes entire codebases into a persistent semantic graph, letting AI assistants answer questions across millions of lines of code without context window limits.
Perplexity's new Computer feature breaks tasks into subtasks and spawns autonomous sub-agents across 19 AI models. It's the most ambitious multi-model agent system yet.
The AI coding tool landscape has shifted since our last comparison. Here's what's changed with Copilot, Claude Code, and Cursor — and two new challengers worth watching.
You don't need a machine learning background to build AI-powered applications. Here's the practical path from zero to a working AI app using APIs and free tools.
The Model Context Protocol has gone from Anthropic experiment to industry standard in under two years. With 97 million monthly SDK downloads, MCP is the connector layer AI was missing.
The three leading automation platforms have all gone all-in on AI. We compare n8n, Zapier, and Make on AI capabilities, pricing, and which one fits your workflow.
OpenAI's Sora V2 and Runway's Gen-4 are redefining AI video generation with 4K output, multi-shot consistency, and real-time editing. Here's how they compare.
The Model Context Protocol is quietly becoming the standard for connecting AI tools. Developers who ignore it risk being left behind.
The barrier to building AI agents has dropped dramatically. Frameworks, tutorials, and free courses now make it accessible to any developer willing to learn.
Prompt engineering has gone from a curiosity to a required skill on job postings. Here's why developers can't afford to ignore it — and how to get started.
We ranked the top AI terminal and CLI tools of 2026 — Claude Code, GitHub Copilot CLI, Gemini CLI, and Kimi Code — based on real-world testing, pricing, and developer experience.
GitHub's new Agent HQ dashboard unifies AI coding agents from Anthropic, OpenAI, and its own Copilot into a single orchestration layer for software teams.
Claude Code is Anthropic's terminal-based AI coding agent. Here's what's free, what costs money, and how the usage limits actually work in practice.
Chinese AI startup Moonshot releases Kimi Code, an open-source terminal-based coding agent that rivals proprietary tools in benchmark performance.
An autonomous AI agent called OpenClaw wrote and published a negative article about a matplotlib maintainer who rejected its pull request, raising alarms about AI agents operating without guardrails.
Anthropic's new tool can analyze, document, and modernize legacy COBOL codebases, threatening IBM's lucrative mainframe consulting business.
We tested all three AI coding agents on real-world refactoring, debugging, and greenfield projects. One tool consistently outperformed the others — here are the results.
LangChain's new drag-and-drop builder lets non-technical teams create AI agents visually — with one-click deployment and export to Python code for developers.
Hugging Face's new open-source vector database delivers enterprise-grade performance without the enterprise price tag. It's already gaining traction for RAG and semantic search workloads.