{"slug": "why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it", "title": "Why Engineering Teams Keep Building In-House AI Code Review Tools, and What It Really Costs", "summary": "Engineering teams are increasingly building in-house AI code review tools using large language models, but while prototyping is easy, operational challenges and hidden costs are significant.", "body_md": "LLMs made internal AI code review tools easy to prototype. They did, however, not make them easy to operate.", "url": "https://wpnews.pro/news/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it", "canonical_source": "https://blog.codacy.com/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it-really-costs", "published_at": "2026-07-09 13:44:00+00:00", "updated_at": "2026-07-09 14:05:12.314020+00:00", "lang": "en", "topics": ["large-language-models", "developer-tools", "ai-tools"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it", "markdown": "https://wpnews.pro/news/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it.md", "text": "https://wpnews.pro/news/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it.txt", "jsonld": "https://wpnews.pro/news/why-engineering-teams-keep-building-in-house-ai-code-review-tools-and-what-it.jsonld"}}