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* Panorama Track– a grand tour of the Scala ecosystem: language evolution, tooling innovation, and community discussions.

* Industry Track – real-world stories from teams running Scala at scale, exploring lessons learned and business impact.

* Developer Experience Track – deep dives into tooling, productivity, and how to get more out of your daily Scala flow.

* Creative & Mix Track – a vibrant mix of technical talks, playful experiments, and unexpected ways Scala shows up in life and work.

* Martin Odersky: Where Are We With Scala’s Capabilities? https://www.youtube.com/watch?v=p-iWql7fVRg


https://en.wikipedia.org/wiki/Delphi_method > https://news.ycombinator.com/item?id=26368011

https://blog.pragmaticengineer.com/yes-you-should-estimate/ > https://news.ycombinator.com/item?id=27006853

https://josephmate.github.io/PowersOf2/ Complexity Estimator

https://earthly.dev/blog/thought-leaders/ > https://news.ycombinator.com/item?id=27467999

https://jacobian.org/2021/may/20/estimation/ > https://news.ycombinator.com/item?id=27687265

https://tomrussell.co.uk/writing/2021/07/19/estimating-large... > https://news.ycombinator.com/item?id=27906886

https://www.scalablepath.com/blog/software-project-estimatio...

https://estinator.dk/ > https://news.ycombinator.com/item?id=28104934

https://news.ycombinator.com/item?id=28662856 How do you do estimates in 2021?

https://web.archive.org/web/20170603123809/http://www.tuicoo... Always Multiply Your Estimates by π > https://news.ycombinator.com/item?id=28667174

https://lucasfcosta.com/2021/09/20/monte-carlo-forecasts.htm... > https://news.ycombinator.com/item?id=28769331

https://tinkeredthinking.com/index.php?id=833 > https://news.ycombinator.com/item?id=28955154

https://blog.abhi.se/on-impact-effort-prioritization > https://news.ycombinator.com/item?id=28979210

https://www.shubhro.com/2022/01/30/hacks-engineering-estimat...

https://www.paepper.com/blog/posts/monte-carlo-for-better-ti...

https://drmaciver.substack.com/p/task-estimation-101 > https://news.ycombinator.com/item?id=32177425

https://morris.github.io/e7/#?t=

https://stevemcconnell.com/17-theses-software-estimation-exp...

https://www.doomcheck.com/ > https://news.ycombinator.com/item?id=34440872

https://github.com/kimmobrunfeldt/git-hours

https://pm.stackexchange.com/questions/34768/why-are-develop... > https://news.ycombinator.com/item?id=35316808

https://erikbern.com/2019/04/15/why-software-projects-take-l... > https://news.ycombinator.com/item?id=36720573

https://news.ycombinator.com/item?id=42173575

https://www.thecaringtechie.com/p/8-guaranteed-ways-to-annoy... > https://news.ycombinator.com/item?id=43146871

https://news.ycombinator.com/item?id=43873604



I preffered: https://www.joelonsoftware.com/2007/10/26/evidence-based-sch...

20-25 years later, this is still where we are at :)


"Evidence-based" stats tracking is the only somewhat scientific method i know of that can give you a good range of estimates. But it takes effort. Thus why many don't do it.

But accurate estimate ranges are a super-power for businesses if they can trust them. Never understood why that's not demanded more... oh yeah, it's work :p




-> GsciiMath


’25, October 12–18, 2025, Singapore, Singapore Eagon Meng, Massachusetts Institute of Technology Cambridge, USA, <[email protected]> Daniel Jackson, Massachusetts Institute of Technology Cambridge, USA, <[email protected]>

Abstract [v2 27 august 2025]

The opportunities offered by LLM coders (and their current limitations) demand a reevaluation of how software is structured. Software today is often “illegible” —lacking a direct correspondence between code and observed behavior— and insufficiently modular, leading to a failure of three key requirements of robust coding: incrementality (the ability to deliver small increments by making localized changes), integrity (avoiding breaking prior increments) and transparency (making clear what has changed at build time, and what actions have happened at runtime). A new structural pattern offers improved legibility and modularity. Its elements are concepts and synchronizations: fully independent services and event-based rules that mediate between them. A domain-specific language for synchronizations allows behavioral features to be expressed in a granular and declarative way (and thus readily generated by an LLM). A case study of the RealWorld benchmark is used to illustrate and evaluate the approach.

CCS Concepts: • Software and its engineering →event-based architectures; • Cooperating communicating processes; • Abstraction, modeling and modularity; • Organizing principles for web applications; • Runtime environments; • Source code generation; • Specification languages; • Orchestration languages.

https://www.youtube.com/watch?v=Y3BESrECaIo Audio only

src: https://www.theregister.com/2025/11/07/researchers_detail_le...

> https://en.wikipedia.org/wiki/Literate_programming

> https://en.wikipedia.org/wiki/Hexagonal_architecture_(softwa...




How it compares with https://www.site24x7.com?


Different use cases, ours is for people who prefer simplicity and just want a text to know if their server goes down. We charge $5 for the year, this service charges $108 (But is aimed at larger enterprises and provides more analytics like monitoring logs/custom status pages). I'm sure their service is great for their enterprise customers, but for smaller teams I feel a text when your server goes down solves the key pain point.



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