The podcast discusses the importance of prototyping, focusing on prototype vs tracer bullet. They emphasize on programming close to the problem domain and estimating to avoid surprises. It also mentions iterating the schedule with code and the significance of clear communication. The hosts share their picks of productivity tools like Todoist and TextExpander.
Prototyping code allows for exploration without commitment to production implementation.
Programming close to the problem domain enhances code readability and team communication.
Deep dives
Prototype to Learn: Explore Ideas with Disposable Code
One key point discussed in the podcast is the concept of prototyping to learn. This involves creating code that is considered disposable as a means to explore different avenues within an app. The phase of prototyping allows developers to experiment without the pressure of creating final, permanent solutions. By engaging in prototyping, developers can play around with various ideas and functionalities, fostering creativity and providing a tangible visual representation of potential outcomes.
Program Close to the Problem Domain: Align Code with Domain Language
The podcast delves into the importance of programming close to the problem domain, emphasizing the need for code to mirror the language used within the specific domain of the project. By aligning the code with the domain's terminology and concepts, developers can enhance readability and maintain clarity in communication among team members. The example shared highlighted the significance of naming methods and functionalities in a manner that reflects the actual tasks they perform, ensuring a cohesive and understandable codebase.
Estimate to Avoid Surprises: Communicate Clear Expectations
The episode stresses the importance of accurate estimation to prevent unexpected surprises during project timelines. It underlines the value of precise wording in setting expectations for deliverables, suggesting that using specific time frames like days rather than general terms enhances clarity and accountability. Additionally, the discussion touched on the challenges of managing multiple estimates across various projects, emphasizing the need for transparent communication and the acknowledgment that estimates are dynamic and subject to change.
Iterate the Schedule with Code: Flexibility in Project Planning
The final key point explored the concept of iterating the schedule along with the code, highlighting the iterative nature of software development projects. The discussion emphasized the need for constant reassessment and adjustment of project timelines based on evolving requirements and code progress. By maintaining a flexible approach to scheduling and being open to revising plans as needed, developers can adapt to changing circumstances and ensure a more realistic and manageable project timeline.
JP: I love doing this during "exploration" - careful not to use prototypes in prod 👀
John: prototype vs tracer bullet - Expectations: Remind them that you can build a great prototype of a new car out of balsa wood and duct tape, but you wouldn't try to drive it in rush-hour traffic! - Localhost with ngrok
Tip 17: Program Close to the problem domain
JP: Remember to focus on domain problems and not petty implementation details
John: Let your code be english! - Let it reflect the way your team talks. execute_email_delivery_protical vs send_email
Tip 18: Estimate to avoid surprises
JP: Be deliberate and keep track... wording is key (i.e. specificity)
John: Reality - scope is a Moving target - Tracer code and testing helps make sure estimates are well thought out. Charge to estimate / mockup.
Tip 19: Iterate the schedule with code
JP: Keep an open line of communication about expectations for scheduling
John: What to say when you are asked for an estimate "I'll get back to you" - Scope can be revised. Not just timeline.