DIGNALEGI

Worth reading. A personal index selected by Ratipcan Uysal.

2026-10-17 · 7 pieces

Reading issue 9.

A selection to read and return to.

01

“You didn’t do it right”

Why read thisA framework that fails repeatedly may be a poor fit, rather than merely badly executed. Cohen uses failed OKR rollouts to propose bounded trials with explicit context, instead of protecting a method from disconfirmation. The useful distinction is between learning implementation and endlessly excusing failure.

Some background helpful · Summary available

Leadership · Jason Cohen — Long Form via longform.asmartbear.com · Leadership in Tech
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. The argument rests mainly on personal experience and selected examples; illustrative fit percentages are not established empirical rates.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →
02

Developing for Debugging (2025)

Why read thisDebugging becomes easier when software records what it actually did, rather than merely announcing that nothing failed. Pacheco follows a DNS update through its propagation steps, making timestamps, versions and recipients inspectable. The broader lesson is to design evidence that can eliminate specific competing explanations.

Some background helpful · Summary available

Engineering · davepacheco.net via Lobsters October 2026
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. The engineering mechanism is demonstrated through one subsystem; broader reliability and support benefits are experiential claims rather than measured outcomes.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →
03

From 2,500 requests to 24: Rebuilding star history without the stargazers

Why read thisReturning fewer rows does not necessarily reduce database work. GitHub makes an aggregate API cheaper by bounding indexed input before grouping, while separating useful trends from unnecessary identities.

Some background helpful · Summary available

Engineering · GitHub Blog · Taylor Cuilty October 2026
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. Performance figures are reported in the supplied article text and are not independently verified; referenced charts are not provided.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →
04

TBM 445: The Feature Factory: A 10-Year Retrospective

Why read thisReplacing feature counts with outcome rituals does not necessarily change how an organization learns. Cutler revisits his own influential critique, showing how trust, funding and customer access constrain teams. The practical question becomes which uncertainty a team can reduce, rather than which operating label wins.

Some background helpful · Summary available

Product · The Beautiful Mess — John Cutler October 2026
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. The supplied text contains explicit sample gaps; the judgment covers the visible arguments and examples, not the complete article.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →
05

Torn Down to Last

Why read thisA bus-factor audit counts existing expertise; first-time participation tracks its renewal. Staffed rehearsals let newcomers perform critical work while an experienced colleague can still correct them.

Summary available

Leadership · Mike Fisher via mikefisher.substack.com · Fish Food for Thought
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. The supplied text substantively supports the argument and recommendations; historical details and external code-change statistics have not been independently verified.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →
06

He Wants AI Benchmarking To Be a Science, Not a Dark Art

Why read thisA benchmark score measures performance under particular preparation and testing conditions, not intelligence in isolation. Hardt argues that comparing models becomes harder when their training differs invisibly. His proposed shared preparation protocol reframes the problem: establish comparable conditions before treating a leaderboard as scientific evidence.

Summary available

AI · quantamagazine.org · John Pavlus via Quanta Magazine October 2026
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. The interview substantiates the argument presented, but the underlying empirical studies and proposed preparation protocol are not supplied for verification.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →
07

How mental disorders play havoc with our motivation

Why read thisSimilar inactivity can reflect different difficulties weighing effort, reward and uncertainty. The research supports more precise, compassionate questions, not diagnosing someone or prescribing treatment from group averages.

Summary available

Life · Psyche · Matthias Pillny October 2026
A personal relevance score

80–100: high value. 70–79: worth the time. Below 70: below the usual publication threshold.

Evidence-reviewed score based on available publisher text. The assessment relies on the article's account of the studies; underlying research and clinical recommendations have not been independently verified.

Scores reflect one reader’s profile, not an objective quality rating. Best is a separate personal selection.

How scoring works →

Ruggets weekly · curated by Digna Legi

A wider view. Every week.

Articles worth reading, videos worth watching, charts that put change in context, and five AI developments to know. Close with one philosophical idea to sit with.

  • 7 articles
  • 3 videos
  • 2 charts
  • 5 AI news
  • 1 idea