Jason YipWhat I’ve been reading (and watching) this week ending 23 November 2025 https://jchyip.medium.com/what-ive-been-reading-and-watching-this-week-ending-23-november-2025-6f582aa23065 #economics #ai #engineering #leadership #ClimateChange
Chris Williams
- 34 Followers
- 170 Following
- 67 Posts
Made the jump and looking to follow other techies especially in aerospace and defense.
@dsri thanks again for updating the 6 minute version. I have used it everyday to keep my day sane!
Marco ArmentAfter a decade, @_Davidsmith and I have published the final episode of Under The Radar.
We're incredibly proud of our ten-year catalog of 30-minute discussions on development, marketing, monetization, work/life balance, and mental health for app developers.
We've heard from so many of you already (thanks!), and the show also brought incredible value to David and me, for both our businesses and our friendship.
We had a great run! Thanks for listening, everyone.
DSri Seah (they/them)Build 09/30: ETP Mini Notebook Printing Press Tour
https://dsriseah.com/journal/2025/1023/
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I check on the progress of The ETP 5885 Mini Notebook at the local commercial printer that makes them. This production run will be the last on Amazon Marketplace.
https://dsriseah.com/journal/2025/1023/
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I check on the progress of The ETP 5885 Mini Notebook at the local commercial printer that makes them. This production run will be the last on Amazon Marketplace.
Cat HicksYay our paper is out in Empirical Software Engineering!
https://link.springer.com/article/10.1007/s10664-025-10735-w
No silver bullets: Why understanding software cycle time is messy, not magic - Empirical Software Engineering
Understanding factors that influence software development velocity is crucial for engineering teams and organizations, yet empirical evidence at scale remains limited. A more robust understanding of the dynamics of cycle time may help practitioners avoid pitfalls in relying on velocity measures while evaluating software work. We analyze cycle time—a widely-used metric measuring time from ticket creation to completion—using a dataset of over 55,000 observations across 216 organizations. Through Bayesian hierarchical modeling that appropriately separates individual and organizational variation, we examine how coding time, task scoping, and collaboration patterns affect cycle time while characterizing its substantial variability across contexts. We find precise but modest associations between cycle time and factors including coding days per week, number of merged pull requests, and degree of collaboration. However, these effects are set against considerable unexplained variation both between and within individuals. Our findings suggest that while common workplace factors do influence cycle time in expected directions, any single observation provides limited signal about typical performance. This work demonstrates methods for analyzing complex operational metrics at scale while highlighting potential pitfalls in using such measurements to drive decision-making. We conclude that improving software delivery velocity likely requires systems-level thinking rather than individual-focused interventions.
@dsri I start at 7am and the latest is 7pm.
@dsri i did some tweaks to make it scale better on letter sized paper and have been using it for 2 weeks. It has helped a ton with tracking my time and staying focused. Thank you!!
@dsri only feedback I have is I would prefer it is letter dimensions vs legal. Not a lawyer nor have legal sized paper for printer. At most I work a 12 hour day so losing a few columns not a big deal. I did print it out scaled for letter and will give it a try tomorrow. It will still work, the bubbles are just a little small. Thanks again for looking in the archives to give this unique request a refresh!!
@dsri thanks for the refresh and I look forward to using this soon. I was using the 5 min version and ignoring the last 2 “bubbles” each hour. This will be so much easier!
@dsri Hi DSri. I am looking back at the productivity tools you created years ago and have a question. By any chance did you experiment with a 6-minute increment version of the “The Emergent Task Timer”? I am looking for an old school way to track where my time is being spent and our time tracking system is one decimal place (.1 =6 mins). While my tasking is usually longer than that, I am looking for something that maps to that detail. Anyway, thanks for listening and I have always loved what you created. I still have some hardcopy ETP’s that I purchased back in the day.