L'IA vocale en gestion de chantier : retour d'expérience après 50 projets BTP Le problème : les mains pleines, le temps compté Sur un chantier, le chef de projet ou l'artisan a les mains occupées. Qu'il soit en train de mesurer une façade, de vérifier l'aplomb d'une cloison ou de valider du béton fraîchement coulé, la dernière chose dont il a besoin est de sortir son téléphone pour re
Voice AI for Jobsite Estimating: A Developer Perspective Building estimators spend hours hunched over spreadsheets, struggling with poor handwriting on site photos, and entering the same data twice (once on paper, once in the office). This workflow is broken. Voice AI changes everything—and it's simpler to implement than most developers think. In this article, I'll walk you through the real-worl
Voice AI for Jobsite Estimating: A Developer Perspective The construction industry has historically lagged behind in digital adoption. Yet today, one of the most transformative shifts happening on job sites isn't coming from enterprise software vendors—it's coming from applied AI at the edge. Voice-based estimating is reshaping how builders create quotes, manage materials, and streamline workflo
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Hi 👋, In this post we shall explore Bedrock's structured KB with this architecture: Upload CSVs to S3 > SNS Queue > Crawl data with Glue > Query with Redshift > Bedrock KB > Query with LLM. Let's do some of this with code. Let's get started. Clone the repo and switch to the project directory. git clone [email protected]:networkandcode/networkandcode.github.io.git cd structured-kb-demo/ Do a uv sync
Subqueries vs. CTEs in SQL: A Practical Guide to Writing Cleaner, Smarter Queries Whether you're just getting comfortable with SQL or leveling up your data skills, two tools will come up again and again when working with complex queries: subqueries and Common Table Expressions (CTEs). They solve similar problems — breaking a complex query into manageable pieces — but they do it in different ways
In a previous post, I explored Codd's connection trap in PostgreSQL and MongoDB — the classic pitfall where joining two independent many-to-many relationships through a shared attribute produces spurious combinations that look like facts but aren't. The example followed Codd's 1970 suppliers–parts–projects model: we know which suppliers supply which parts, and which projects use which parts, but j
Automating Hermitage to see how transactions differ in MySQL and MariaDB