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  5. How we make AI coding more cost efficient without sacrificing task quality
How we make AI coding more cost efficient without sacrificing task quality
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How we make AI coding more cost efficient without sacrificing task quality

Why shorter outputs can cost more, and how GitHub Copilot reduces wasted work across the complete coding task. The post How we make AI coding more cost efficient without sacrificing task quality appeared first on The GitHub Blog.

AI for developmentGitHub BlogPublished: September 2, 2026
AI for development
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Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my!

From loop engineering to harnesses, squads, and open weights, the GitHub Podcast breaks down the AI terms showing up in developer conversations. The post Decoding the new AI lingo: Loops, harnesses, squads, hill climbing… oh my! appeared…

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AI for development
AI for developmentInfoQSep 2, 2026

OpenAI Details GPT-Live’s Architecture for Continuous Stateful Voice Interaction

OpenAI recently published an engineering account of GPT-Live. It described how they designed the system to maintain continuous voice interaction while separating latency-sensitive media processing from broader application work. The live…

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AI for development
AI for developmentInfoQSep 2, 2026

Presentation: Beyond Prompting: Context Engineering for Production-Grade AI

Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural strategies for integrating long-term and short-term memory using Redis, managing LLM token…

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