The fair weather abandoned Durham sometime last night. I awoke to a brisk, rainy day. I had treated myself to an early bedtime and I was feeling especially good even though the weather wasn't spectacular. I made it in early thanks to Chad and spent about 40 minutes working on the blog post from the day before. I’m still behind from Tuesday.
Standup went with a now expected cadence. I filled everyone in with the delightfully busy day I had yesterday. Today I would continue working with Larry on the Compojure web application. Excellent.
Larry Karnowski and I began our pairing session by reviewing the card. Our review turned out a missing behavior. We had yet to allow the caller to provide the recipient's identifier in the request. Our next step was to look to see what was currently supported in the model. Someone had already wired up the model so that a message could have multiple recipients, but it wasn't entirely finished. Multiple recipients is also clearly beyond the scope of our card. I thought we might as well go through with it but Larry was adamant that we rip it out. It was not necessary for the delivery of this card - or any of the cards in this iteration.
This intrigued me. We spoke about it a bit and it became clear to me that this is part of what makes Relevance guys different. If the code is dead or if the implementation isn't ideal it gets ripped out right away.
I realized that this could be why I found it so easy to integrate myself with their projects. I didn't waste any cycles trying to sift out what was relevant from a year's worth of dust and debris. Great code doesn't say that way long if you're not disciplined about taking out the garbage. Relevance employs some tidy fellows. Larry had to run to a meeting and left me to extract the unnecessary bits. I managed to muddle through and finished the job just before lunch.
After lunch Larry and I ran into another little issue. This story we were working on wasn't exactly user facing. We were building a programmatic API for creating messages. In order for the customer to sign off that the story was complete we needed a way for them to create messages through the API. It didn't need to be perfect, just functional. Given this particular API is for a web application we were able to construct a simple form that the customers could use to see the system work on their own.
Our afternoon ended early when we broke to do an estimation session. This estimation was to be done in preparation for the next iteration of the project Larry and I were working on. This project was also different. The outcome was to be a proof of concept that would be used to demonstrate some of the application's core features, not an application they'd be putting into production.
Before we talk about what happened let me roughly explain what I learned about how Relevance estimates cards. There are two estimates taken, one at a high level and another at a low level. The high level estimate is used to size stories into an iteration. An iteration is “full” when the sum of the high level estimates meets the expected velocity of the team.
These estimates are taken using a relative scale derived from completed stories in the project. Before each estimation session begins they baseline themselves for this project by looking at completed stories from the previous iteration.
The low level estimate is done by the pair picking up the card for development. This low level estimate is the one that the development pair is expected to perform to. It makes a lot of sense then that they get to chose what this number is.
Now, back to this estimation session. Muness, Chad, Larry and I began by reviewing the available cards in Mingle. We were debating priority from the customer's perspective as well as what sequence made the most sense for development. This gave us a subset of the available cards to plan for the upcoming iteration as well as a rough sense of priority.
At this point we began estimating cards. I abstained as I was unfamiliar with the project and I didn’t want my poor estimates to cause someone trouble down the road. Each estimate for a card was collected by counting down 3-2-1, then everyone showing a point value simultaneously. If the variance was small the higher estimate is taken, if the variance is large then the card is debated again and another estimation is taken.
We continued this process until the iteration was full. And that marked the end of my 4th day at Relevance.
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