AI & ML
AI Coding Assistants in Production: A Playbook for Engineering Teams
How GitHub Copilot, Cursor and Claude Code perform on production pull requests, the four-step review gate we enforce on AI-touched code, where assistants stay…
Category
AI & ML
AI in production for engineering and product teams: coding assistants with review gates, generative AI that pays back, and human-centred moderation at scale.
AI & ML
AI & ML
Generative AI in Business: Where It Pays Back and How Leaders Roll It Out
Inside a company, generative AI earns its keep in drafting, search and routing well before it is ready to face customers. For leaders: why…
AI & ML
Human-Centred AI Moderation at Scale
AI moderation at scale depends less on detection accuracy than on what surrounds the model: clear policy, reviewer tooling that puts evidence on one…
About AI & ML at Levievs
These articles look at AI after the demo: what it takes to run it inside a real engineering team or a real product. They cover putting coding assistants to work with a review gate and clear no-AI zones, where generative AI pays back in a business and how leaders roll it out, and how to keep content moderation fair when it runs at scale.
We write them from our own use of AI tools in delivery and from AI product work with clients. The two services below cover both sides: AI tooling for your engineering team and consulting on AI features for your customers.
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About this blog
Long-form posts, written by the people doing the work.
Not an SEO playground or a stream of short notes. Every article is a long-form, edited piece. We publish on a deliberate cadence and rewrite our drafts before they go out.
15
articles published
5
topics covered
1×/wk
cadence