Balancing innovation with stability is key in managing SaaS legacy code. You explore phased implementations, leveraging existing assets, and continuous learning to maximize legacy code potential. Ideal for tech leads and founders.
Discover effective strategies for managing technical debt and legacy code in software development. This comprehensive guide for founders explores the causes, impacts, and solutions to maintain sustainable growth and high-quality code.
We’ll discuss some critical, non-technical challenges in leadership, including the impacts of ego and lack of self-awareness, and learn strategies to create a positive and productive work environment. Fear-driven leadership will break most startups.
In SaaS, shifting priorities and changing teams cause stress. Stable teams focus priorities but may lack roles, leaving floating members to juggle demands. A one-person service team can offer clarity, but careful prioritization and team restructuring are vital.
Empowering teams in modern workspaces means shifting from traditional management to a trust-based, autonomous culture. This approach enhances performance, especially remotely, by emphasizing purpose before results and fostering open communication and accountability.
We discuss the challenges of using PHPStan at its strictest level for type checking, particularly with 'mixed' types. It explores solutions like using strval() and creating custom functions, but ultimately, the author opts to lower PHPStan's strictness due to complexity, ending with mixed feelings.
When do SaaS startup founders know it's the right time to hire junior developers? And why is always hiring senior developers, not a good idea?
Will AI take over our jobs? Should we, as software developers, be using AI? How should I use AI in my job? How will this all evolve? Here's my personal findings on the topic.
In discussions with non-tech managers, buzzwords often mask understanding. My view: use tech pragmatically, focusing on proven tools. Innovation matters, but clarity and long-term stability are key. Managers should demystify tech jargon and ensure meaningful application.