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A short video demonstrates standing up a minimal AI service in about 24 minutes by scoping a single use case and wiring an LLM-backed workflow end-to-end. For teams, the practical takeaway is to time-box a thin slice, use off‑the‑shelf components, and ship a measurable demo with basic instrumentatio...
A circulating blog claims a 'Claude Opus 4.5 GitHub Copilot integration,' but there is no official support to run Anthropic’s models directly inside GitHub Copilot today. Copilot primarily uses OpenAI models, while Claude (e.g., Claude 3.5 Sonnet) is accessible via Anthropic’s API or third-party IDE...
A practical take on what makes an AI code review benchmark trustworthy: use real-world PRs, define clear ground truth labels, measure precision/recall and noise, and ensure runs are reproducible with baselines. It frames evaluation around both detection quality and developer impact (time-to-review a...