Common mistakes that teams make when not thinking strategically: Focusing on the wrong priorities Focusing on the wrong outcome Not involving the right people at the right time Not seeing the bigger picture Not anticipating problems Not understanding how one project impacts another Working without thinking through why the work is being done Diving into work without thinking if it’s already been solved before Working and getting feedback only at completion (not earlier) Not converting ideas into action in efficient ways

Strengths of JSON Merge Patch: Easy for users to understand and implement. Naturally idempotent Well-defined semantics Robust to versioning Shortcomings of JSON Merge Patch Cumbersome to modify array values

REST means different things to different audiences. It means one thing to the developer completing their assignments in Jira, another to the engineering leader attempting to herd cats through a transformation, and yet another to the marketplace selling solutions. The term’s conflation isn’t an indictment of people’s laxness but an example of its success. We see this pattern repeatedly throughout the tech landscape. Agile methodologies, cloud computing, and even DevOps all started with specific principles but branched out, sometimes to their originator’s chagrin, as diverse groups adopted them.

Bad strategy ignores the power of choice and focus, trying instead to accommodate a multitude of conflicting demands and interests. Like a quarterback whose only advice to his teammates is “Let’s win,” bad strategy covers up its failure to guide by embracing the language of broad goals, ambition, vision, and values. As seen in: https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/the-perils-of-bad-strategy

GraphQL has an advantage over simple Web APIs, as it offers some insight into how many users are using each field of your API. Although this insight may not be completely accurate, it can still be useful in estimating the cost of making a breaking change in a specific field. With this information, you can communicate the potential impact of the change more effectively.

What is an API design specification? A collection of patterns (with examples) Rules about how to apply them Tests to automate compliance

Soft skills dominate hard skills. Many hard skills will be automated by AI anyway. Soft skills and human relationships are the future, and emotional intelligence can be learned.

Last week, Reddit filed their S-1 to go public. At least 10% of their revenue - about $60m - comes from selling data to train Large Language Models. Data sales invert the business model of the Internet. Instead of Reddit building product experiences that create good advertising data to earn more on ads, Reddit will launch product experiences that produce more valuable data to feed to LLMs. The LLM vendors should pay more for better data.

The Shirky principle is the adage that “institutions will try to preserve the problem to which they are the solution”. More broadly, it can also be characterized as the adage that “every entity tends to prolong the problem it is solving”.

Great insights @ https://clig.dev/#output like Responsive is more important than fast I have to update the list of areas where interface design applies : APIs Query Languages CLIs