Technical content on engineering best practices, software architecture, frameworks, performance, tooling, and implementation insights for developers and engineering teams.
Every frontend project starts the same way. Someone creates a repo, installs the framework, adds a basic page, and commits with the message “initial setup.” Then the second developer joins. And the third. And suddenly every file looks slightly different, components live in three different folders depending on who wrote them, and nobody agrees on…
There is no shortage of listicles telling you which software engineering metrics to track. Most of them are built around the same framework: deploy a dashboard, pull in your GitHub and Jira data, and watch the numbers move. That is fine advice if your team sits in the same office, ships under the same conditions,…
Data migrations are one of those engineering tasks that seem straightforward, until the dataset reaches millions of records. At that point, the traditional read-transform-write pattern stops being a minor inconvenience and starts costing real hours of downtime risk, CPU load, and operational complexity. Data migration in MongoDB becomes especially challenging when it involves restructuring nested…
Imagine playing chess against an opponent who never blunders. Not because they’re smart — but because they’ve already simulated thousands of possible futures before making a move. That’s exactly what algorithms like Minimax and Alpha-Beta pruning do. They don’t “think” like humans. They explore the future, assume you’re playing perfectly… and still find the best…
Elastic Beanstalk served us well for years. It allowed us to move fast, abstract infrastructure complexity, and focus on shipping product. But as the system matured, the very abstractions that once accelerated us started introducing operational friction. In this article, we’ll walk through how we migrated a production Ruby on Rails application from AWS Elastic…
For many executives, the phrase “vibe coding” lands somewhere between tech slang and Silicon Valley humor. It sounds informal, almost unserious — but the reality behind it is anything but. Coined by AI researcher Andrej Karpathy, vibe coding describes a shift in how software is built: instead of writing code line-by-line, engineers describe intent in…
The software development trends that will shape 2027 all trace back to one shift. AI agents are moving from the editor into the delivery pipeline. That changes how teams are sized, where the bottlenecks sit, what software costs to run, and which risks engineering leaders own. The data points to ten trends: agentic coding, a…
Have you faced a problem so large that checking every possible solution is nearly impossible? Consider planning a road trip across many cities or organizing a complex schedule. These problems involve countless combinations. Traditional algorithms often settle too quickly on solutions that seem good but are far from optimal. Simulated Annealing (SA) offers a smarter…
Imagine you’re coding a small robot to escape a maze. Either you make it explore every path until it finds the exit, or give it hints to guess which are the best ones. That little guessing power is what we call a heuristic, and it’s one of AI’s oldest tricks for making computers feel smart.
Hire pre-vetted LATAM engineers who integrate seamlessly and deliver from day one.
Talk to an expertA monthly briefing by Damian Wasserman with clear analysis, practical frameworks, and market signals to help leaders scale engineering teams and make high-impact decisions.
Argentina 
Brazil 
Mexico 
Colombia