ai23 mars 2026Building AI Agents That Actually Work: Architecture, Patterns, and Hard Lessons from ProductionThe engineering reality behind AI agents in 2026. Tool orchestration, memory systems, planning loops, guardrails, cost control, and the architecture patterns that separate demo agents from production agents.llmarchitecturetypescriptbackendblog.readMore Building AI Agents That Actually Work: Architecture, Patterns, and Hard Lessons from Production
debugging23 mars 2026The Art of Debugging: How Senior Engineers Find Bugs 10x FasterSystematic debugging from first principles. Scientific method, memory leaks, race conditions, production debugging, war stories, and the mental models that separate juniors who flail from seniors who fix.typescriptnode.jsperformancebackendblog.readMore The Art of Debugging: How Senior Engineers Find Bugs 10x Faster
infrastructure23 mars 2026Scaling to One Million Users: The Infrastructure Playbook Nobody SharesThe definitive guide to scaling a web application from 0 to 1M+ users. Connection pooling, caching layers, load balancing, background jobs, edge computing, monitoring, and the real war stories that nobody puts in their blog posts.scalingbackendpostgresqldevopsblog.readMore Scaling to One Million Users: The Infrastructure Playbook Nobody Shares
api22 mars 2026API Versioning Strategies: The Hard Lessons from Running APIs in Production for 8 YearsURL versioning, header versioning, date-based versioning, deprecation policies, schema evolution, and the migration playbook. What actually works when you have real consumers depending on your API.restversioningbackendarchitectureblog.readMore API Versioning Strategies: The Hard Lessons from Running APIs in Production for 8 Years
linux22 mars 2026Linux Internals Every Developer Should Know: Processes, Memory, Networking, and the KernelA deep dive into the Linux internals that matter for application developers: process lifecycle, memory management, networking stack, cgroups, eBPF, and the debugging tools that will save you at 3 AM.devopssystems-programmingnetworkingbackendblog.readMore Linux Internals Every Developer Should Know: Processes, Memory, Networking, and the Kernel
oauth22 mars 2026OAuth 2.1 and OpenID Connect: The Parts That Actually Confuse EveryoneA no-nonsense deep dive into OAuth 2.1 and OpenID Connect. Authorization Code + PKCE with real HTTP requests, token storage wars, refresh token rotation, OIDC discovery, multi-tenant identity, and the vulnerabilities that bite even experienced teams.authenticationsecurityopenid-connectbackendblog.readMore OAuth 2.1 and OpenID Connect: The Parts That Actually Confuse Everyone
system-design22 mars 2026System Design Interview: The Patterns Nobody Teaches YouThe thinking frameworks, back-of-the-envelope math, and architecture patterns that actually matter in system design interviews — from someone who has been on both sides of the table.architecturedistributed-systemsinterviewsbackendblog.readMore System Design Interview: The Patterns Nobody Teaches You
database22 mars 2026Database Migrations That Won't Destroy Your Weekend: Zero-Downtime Schema ChangesThe hard-won lessons from years of migrating production databases without downtime. Lock contention, expand-contract patterns, online schema tools, ORM pitfalls, and the incident stories nobody talks about.postgresqlmigrationsdevopsbackendblog.readMore Database Migrations That Won't Destroy Your Weekend: Zero-Downtime Schema Changes
authentication4 mars 2026Authentification moderne en 2026 : JWT, sessions, OAuth et PasskeysLe panorama complet de l'authentification : quand utiliser les sessions ou les JWT, les flux OAuth 2.0 / OIDC, la rotation des refresh tokens, les passkeys (WebAuthn), et les patterns d'authentification Next.js que j'utilise réellement.securitynext.jsweb-developmentbackendblog.readMore Authentification moderne en 2026 : JWT, sessions, OAuth et Passkeys
node.js11 févr. 2026Observabilité en Node.js : logs, métriques et traces sans la complexitéLogging structuré avec Pino, métriques avec Prometheus, tracing distribué avec OpenTelemetry. La stack d'observabilité que j'utilise pour mes apps Node.js en production, de zéro à la visibilité complète.observabilitydevopsmonitoringbackendblog.readMore Observabilité en Node.js : logs, métriques et traces sans la complexité
sql5 févr. 2026SQL Window Functions: The Feature That Changed How I Write Every QueryWindow functions are the single most underused SQL feature. Running totals, rankings, moving averages, gap analysis, and session detection — all without subqueries. Real examples from production databases.postgresqldatabaseperformancebackendblog.readMore SQL Window Functions: The Feature That Changed How I Write Every Query
graphql15 janv. 2026GraphQL vs REST: After Using Both in Production, Here's What I Actually ThinkNot another 'GraphQL is better' or 'REST is simpler' post. Real production experience with both, including the parts that GraphQL evangelists won't tell you and the REST limitations that actually matter.restapi-designarchitecturebackendblog.readMore GraphQL vs REST: After Using Both in Production, Here's What I Actually Think
security4 déc. 2025Bonnes pratiques de sécurité des API : la checklist que j'applique à chaque projetAuthentification, autorisation, validation des entrées, limitation de débit, CORS, gestion des secrets et le Top 10 OWASP des API. Ce que je vérifie avant chaque mise en production.apibackendnode.jsweb-developmentblog.readMore Bonnes pratiques de sécurité des API : la checklist que j'applique à chaque projet
postgresql13 oct. 2025Optimisation des requêtes PostgreSQL : de lent à sub-millisecondeLes techniques d'optimisation PostgreSQL que j'utilise sur des bases de données en production. EXPLAIN ANALYZE, stratégies d'index, réécriture de requêtes et les changements exacts qui ont fait passer mes temps de requête de secondes à microsecondes.databaseperformancebackendblog.readMore Optimisation des requêtes PostgreSQL : de lent à sub-milliseconde
redis29 sept. 2025Stratégies de cache Redis qui marchent vraiment en productionCache-aside, write-through, prévention du cache stampede, stratégies TTL et patterns d'invalidation. Les patterns Redis que j'ai utilisés en production dans des apps Node.js avec de vrais exemples de code.cachingbackendnode.jsperformanceblog.readMore Stratégies de cache Redis qui marchent vraiment en production
database16 sept. 2025Conception de schéma de base de données : des patterns qui vieillissent bienRègles de normalisation, conventions de nommage, soft deletes, audit trails, patterns multi-tenancy, stratégies de versioning et les décisions de schéma que j'ai regrettées. Orienté PostgreSQL.postgresqlarchitecturebackendsqlblog.readMore Conception de schéma de base de données : des patterns qui vieillissent bien