Articles

'Did we run that ALTER on staging?' 'Which version of the schema is in prod?' If you're managing ClickHouse schemas with raw DDL and prayer, we built something better. clickhouse-migrate brings Alembic-style migrations to ClickHouse—with the zero-downtime patterns we learned the hard way.

Your team runs the same Terraform plans, database migrations, and deployment scripts daily. Instead of documenting procedures that nobody reads, encode them as Claude Code skills that guide the AI through your exact workflows. Here's how to build reusable skills that turn tribal knowledge into executable automation.

Dashboard timeouts during winter storms. 45-second queries when road crews need real-time data. We moved 1.3 billion IoT rows from SQL Server to ClickHouse Cloud—and cut query times from seconds to milliseconds while saving $2,200/month. Here's exactly how.

Intermittent connection errors with RDS Proxy and Lambda at scale? This guide covers the hybrid connection pattern, pinning behavior, and timeout configuration based on production load testing with SQL Server.

Learn how to configure uv to install Python packages from AWS CodeArtifact using keyring for secure token management. This complete guide covers setup, daily usage, troubleshooting, and best practices.

With a likely reversal of Section 174's R&D amortization rules on the horizon, tech companies are preparing for a new era in hiring and innovation. Here's what founders and engineering leaders need to know about the future of tax, hiring, and growth in the software sector.

Apple might be the only company getting AI right—not by shipping faster or talking louder, but by bypassing the hype and focusing on what will actually matter to consumers in the years to come. While many chase viral demos and headline features, Apple appears to be playing a slower, more deliberate game. And that may be the smarter path.

Whether you're still refining product-market fit or gearing up for rapid growth, one of the biggest factors in your success will be your engineering team. In this article, we break down the three essential components that top-tier companies use to optimize their developer experience, streamline feature development, and build long-term intellectual property assets.

A lot of talk has surfaced lately about work culture in light of the Great Resignation. Attrition has been a serious problem, particularly in the technology sector since 2022. Business owners are struggling to attract talent, and are grasping at straws to attract software engineering talent. It seems gone are the days where a ping-pong table and cold-brew coffee taps in the office drew the industry's best employees.

The feature development process is ripe with opportunity to impress or disappoint one's customers. A typical startup will often try to outcompete by delivering more features to their customers faster. With this in mind, we at DRYCodeWorks have attempted to distill the feature development process down to improve efficiency, elasticity, and hit-rate when developing features with our clients.

The tools that build, test, version, release, and configure hosts for your application code are technical assets of your business. At DRYCodeWorks, we often see three key areas that when consistently transcribed from institutional knowledge into more appropriate forms of record, companies can benefit greatly from.