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What AI Coding Tools Are Actually Good For, According to Devs

What AI Coding Tools Are Actually Good For, According to Devs

GitHub's developer advocates share what actually works in AI coding tools based on real usage data: inline suggestions beat chat interfaces, AI should handle tedium while you handle judgment, and protecting flow state matters more than automation.

Context Engineering: How to Make GitHub Copilot Actually Useful

Context Engineering: How to Make GitHub Copilot Actually Useful

Context engineering beats prompt engineering. Instead of crafting clever prompts, give GitHub Copilot the information it needs upfront: your coding standards, workflows, and architecture. Three techniques — custom instructions, reusable prompts, and custom agents — turn Copilot from "sometimes he...

Why AI Coding Tools Are Pushing Developers Toward Typed Languages

Why AI Coding Tools Are Pushing Developers Toward Typed Languages

A 2025 study found 94% of LLM-generated compilation errors are type-check failures. GitHub's data shows TypeScript overtaking Python and JavaScript as developers using AI tools choose languages with guardrails.

GitHub's 2025 Hits: Agent Mode, MCP, and Spec-Driven Dev

GitHub's 2025 Hits: Agent Mode, MCP, and Spec-Driven Dev

GitHub's most-read posts of 2025 reveal a clear shift: agent mode, coding agents, and MCP dominated developer attention. Here's what actually matters for your workflow in 2026.

WRAP: GitHub's Framework for Getting Real Work Done with Copilot

WRAP: GitHub's Framework for Getting Real Work Done with Copilot

GitHub engineers spent a year testing Copilot coding agent in production. Their takeaway: treat it like a junior dev, not magic. Here's the WRAP framework they built to actually clear backlog debt.

5 GitHub Podcast Episodes Worth Your Time in 2026

5 GitHub Podcast Episodes Worth Your Time in 2026

GitHub's podcast covered MCP, DIY development, open source sustainability, and privacy-first smart homes. These five episodes cut through AI hype with practical frameworks for navigating 2026's technical landscape.

GitHub's Continuous Efficiency: AI Agents That Optimize Code While You Sleep

GitHub's Continuous Efficiency: AI Agents That Optimize Code While You Sleep

GitHub Next is building AI agents that automatically optimize codebases for performance and sustainability. Early pilots show real wins, but the tooling is experimental. Here's what works and what doesn't.