📰 Dev.to · Doktouri

Embeddings, similarity search, and when you need a dedicated vector database versus pgvector — the foundation of RAG and AI-powered search.

SSR, SSG, and CSR compared through an SEO lens — why rendering strategy decides whether Google can actually see and rank your content.

The security baseline every web app needs — auth, input validation, secrets, headers, and dependency hygiene — explained without the FUD.

Flat-rate, per-seat, usage-based, or tiered? Compare the main SaaS pricing models and learn how to pick one that grows revenue without scaring users.

A transparent breakdown of what a SaaS MVP actually costs in 2026 — by feature scope, team model, and region — with realistic budget ranges.

Live cursors, chat, notifications, and dashboards — the transport choices and architecture patterns for real-time features that stay reliable at scale.

Postgres does more than you think — JSON, full-text search, geospatial, and queues. Why it's the pragmatic default and when to reach for more.

From Stripe to local processors — the integration, security, and edge-case checklist for accepting payments without nasty surprises.

Row-level, schema-per-tenant, or database-per-tenant? A guide to choosing a multi-tenant architecture that scales without painting you into a corner.

How you split your code shapes how your team works. The trade-offs of monorepos and polyrepos, and how to decide for your stage.

The modular monolith is underrated. When microservices genuinely help, when they hurt, and a migration path that doesn't wreck your velocity.

Practical tactics to cut LLM API costs — model routing, caching, prompt compression, and batching — without sacrificing the quality users expect.

A grounded guide to adding real AI value to an existing product — where LLMs help, where they don't, and how to ship features users actually keep.

A practical, step-by-step playbook for taking a SaaS idea from concept to a shippable MVP — scope, stack, timeline, and the mistakes to avoid.

Decouple your storefront from the commerce engine for speed and flexibility. What headless commerce is, who needs it, and how to migrate safely.

Containers without the mystery — images, layers, compose, and the workflow that makes 'works on my machine' a thing of the past.

Why your queries are slow and how the right index fixes it — B-trees, composite indexes, and the EXPLAIN habit every developer should build.

LCP, INP, and CLS demystified — what each metric measures, the common causes of failures, and concrete fixes that move the numbers.

From commit to production without fear — the stages, checks, and rollback strategy of a CI/CD pipeline that lets small teams ship daily.

The framework we use to pick a stack that fits the team, the timeline, and the next two years of growth — not just today's hype cycle.

Beyond the demo: a build guide for production AI chatbots — grounding, guardrails, context handling, and the evaluation loop that keeps quality high.

The onboarding patterns that move new B2B SaaS users from signup to activation — checklists, empty states, and time-to-value tactics that reduce churn.

Consistent, versioned, well-documented APIs age gracefully. The design principles — REST, errors, pagination, auth — that keep integrations happy.

A week-by-week plan to take an AI product idea to a working MVP in a month — scope discipline, the right shortcuts, and what to defer.