📰 Dev.to · Vivek Kumar

How to give SaaS customers self-serve, natural-language access to their own data using row-level security and MCP — so an AI can answer their questions without

Text-to-SQL that works in a demo can still be wrong in ways you never see. Here's how to measure accuracy honestly — execution accuracy, the false positives it

How the Model Context Protocol turns a plain-English question into a verified SQL query, a saved report, and a dashboard tile — without you rewriting the same q

When your whole team wires AI assistants into the database, 'who ran what' gets murky fast. Here's how to keep AI database access identifiable, scoped, and audi

When you connect an AI assistant to your database, you can hand it a connection string or put a broker in between. Here's how the two approaches compare on secu

How to give AI assistants safe, read-only access to your SQL database — using database roles, read replicas, and query guardrails so nothing gets modified.

A practical look at how the Model Context Protocol lets an AI assistant query your database without ever seeing your credentials — and the security properties t

The Model Context Protocol lets AI assistants query your database without ever holding your credentials. Here's how it works, why it matters, and the gotchas to

Pasting a DB connection string into an AI chat is one of the fastest ways to leak production credentials. Here's why it's risky and what a broker-based approach

A practical guide to building conversion funnels in SQL — ordered events, time windows, and the mistakes that silently inflate your numbers.

Single-shot text-to-SQL breaks on real schemas. Learn how to build an execution feedback loop that runs, catches errors, and lets the model repair its own SQL —

A practical, copy-paste guide to building cohort retention tables in SQL — including the denominator bug that quietly inflates every retention number you've eve

A practical guide to building a self-serve reporting tool on top of your SQL database — the schema, the read-only setup, saved parameterized queries, and the go

A practical raw → staging → marts SQL workflow for turning messy production tables into trustworthy metrics, without a data team or a BI platform.

A practical guide to letting your non-technical teammates answer their own data questions — without handing them prod credentials or risking a leaked column.

Should you build your customer-facing dashboards in-house or buy an embedded analytics tool? A practical, cost-aware framework with SQL examples and the gotchas

Manual spreadsheet reports are slow, error-prone, and outdated the moment you save them. Here's how to replace that grind with live SQL dashboards your whole te

Stop building reports from scratch. Here's the fastest path from raw SQL data to a working internal dashboard your team will actually use.

Your production database wasn't built for reporting. Here's how to add a proper analytics layer with read replicas, materialized views, and smart SQL patterns —

Stop drowning in dashboards. Learn which SQL queries actually reveal how users behave — from DAU/MAU to funnels, cohort retention, and feature adoption.

Most SaaS apps collect tons of data but give customers almost nothing back. Here's what customer-facing analytics looks like in practice, and how to build it ri

A practical guide to adding embedded SQL dashboards to your SaaS product — covering architecture, authentication, multi-tenancy, and when to build vs. buy.

You don't need Tableau or a $50k BI platform to show your users live charts. Here's how to wire SQL queries directly to charts in your app, fast.

Six essential SQL queries that give SaaS founders direct visibility into signups, active users, conversion, churn, MRR, and retention — no BI tool required.