Technology
(645)
A practical guide to Scala use cases, with clear advice on where it pays off, where it doesn’t, and how to pilot adoption safely.
By Marcos Brandão
11 min read
Most WordPress performance advice is written for the person applying the fixes. But who decides which fixes are worth funding, who owns them, and when the work has outgrown in-house capacity?
By Marcos Loureiro
10 min read
Most engineering organizations should default to a modular monolith in 2026. Use this five-dimension scoring framework to evaluate when microservices use cases actually justify the operational cost.
By Valfrid Silva
18 min read
Hiring constraints, ecosystem complexity, and operational tradeoffs for engineering leaders evaluating the Scala programming language.
By Glesio Paiva
8 min read
A practical, enterprise-focused look at Scala programming paradigms, Scala codebases, and JVM systems.
By Fernando Ugarte
9 min read
Adopt Scala with confidence: understand organizational fit, hiring risks, JVM compatibility, and where Scala outperforms Java.
By Carlos Moreira
8 min read
REST is the defensible default for most APIs. GraphQL pays off with real client diversity and the capacity to govern it. Here’s how to decide which is best for you.
By Pablo Bassil
11 min read
Most AI oversight setups look right on paper and break down in practice. This piece helps engineering leaders identify where the gaps are before a failure does it for them.
By James Booth
13 min read
How Engineering Leaders Can Structure the PdM-PjM Partnership to reduce thrash and improve delivery predictability
By Renata Matos
11 min read
Most AI pilots stall before production. Learn how to sort use cases by capability pattern, integration risk, and time to proof.
By Daniel Avila
11 min read
Machine Learning vs. Artificial Intelligence: What you’re Actually Building and When to Buy vs Build
Stop debating labels. Learn the production tradeoffs, governance risks, and hidden costs that determine whether to build in-house or buy AI capabilities.
By Agustín Achille
13 min read
Systems-level overview of large language models for engineering leaders: how they work, where they fit, and the risks you need to plan for.
By Alejandro Cordova
13 min read
Chasing trends without a framework creates design debt and regression risk. Here's how enterprise engineering teams can adopt what works, pilot what's uncertain, and avoid what costs more than it delivers.
By Juan Carlos Caicedo
12 min read
Learn when Scrum, Kanban, or Scrumban works best based on team geography, interrupt-driven work, governance needs, and enterprise delivery goals.
By Marcelo Sureira
9 min read
Compare build, buy, and hybrid sourcing models for recommender systems using a decision matrix focused on time to value, TCO, data control, and exit options.
By Izcóatl Estañol
14 min read