Issue · 3 links
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1 October 2026
Three pieces from the past four days place the risk of AI-assisted work at the moment a person must explain or judge what an AI agent produced. An engineering leader, a usability researcher and a summit of product leaders each argue that understanding and judgement do not grow with output and have to be checked on purpose.
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LeadDev
Your error budgets don't know AI exists
Paul LaPosta · 30 Sep
Paul LaPosta, a DevOps leader writing in LeadDev, an engineering leadership publication, argues that AI makes changes cheap to produce but not to understand.
Company story · roles · decisions · Understanding the work
02
UX Tigers
User Vigilance Fails Twice in the AI Age: Watch Duty & Verdict Duty
Jakob Nielsen · 29 Sep
Jakob Nielsen, a usability researcher, argues that people approving an AI agent's actions stop paying attention, and that products should ask less often and offer undo.
How-to · agents · critique & review · Human approval
03
Lenny's Newsletter
All of the Lenny & Friends Summit talks are now online!
Lenny Rachitsky · 29 Sep
Lenny Rachitsky, who writes Lenny's Newsletter for product managers, reports that summit speakers disagreed on process but agreed that judgement matters more as AI makes building easier.
Company story · roles · Changing roles
Swipe for 02 to 03
Browse the archive78 links across 16 issues
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LeadDev
Your error budgets don't know AI exists
Paul LaPosta · 30 September 2026
Paul LaPosta, a DevOps leader writing in LeadDev, an engineering leadership publication, argues that AI makes changes cheap to produce but not to understand.
Company story · roles · decisions · Understanding the work
1 Oct · 01
UX Tigers
User Vigilance Fails Twice in the AI Age: Watch Duty & Verdict Duty
Jakob Nielsen · 29 September 2026
Jakob Nielsen, a usability researcher, argues that people approving an AI agent's actions stop paying attention, and that products should ask less often and offer undo.
How-to · agents · critique & review · Human approval
1 Oct · 02
Lenny's Newsletter
All of the Lenny & Friends Summit talks are now online!
Lenny Rachitsky · 29 September 2026
Lenny Rachitsky, who writes Lenny's Newsletter for product managers, reports that summit speakers disagreed on process but agreed that judgement matters more as AI makes building easier.
Company story · roles · Changing roles
1 Oct · 03
Dropbox.Tech
Evolving our calendar assistant Reclaim to be AI-native without starting over
Greg Unrein, Josh Jensen and Christopher Wildman · 29 September 2026
Dropbox's engineers sent every AI agent change in Reclaim, their calendar assistant, through the same checks of scheduling rules that people's changes pass, and let users preview it first.
How-to · agents · Human approval
30 Sep · 01
The Pragmatic Engineer
Why has Shopify dropped React Native?
Gergely Orosz · 29 September 2026
Shopify is rebuilding its React Native mobile apps as separate iOS and Android apps, because AI coding agents have made building each feature twice cheap enough.
Company story · agents · decisions
30 Sep · 02
Figma Blog
What it takes to build great products now
Paige Costello · 24 September 2026
Paige Costello, vice president of product at Figma, argues that AI makes prototypes quick, so the hard work moves to choosing a direction, finishing the product and making it distinctive.
How-to · prototyping · design systems · After the prototype
30 Sep · 03
this+that
Nobody notices when a company forgets
Jeff Reynar · 28 September 2026
Jeff Reynar, chief executive of the AI start-up this+that, argues that when AI agents do the work, people's skills and a company's knowledge can fade without anyone noticing.
Company story · rituals · artifacts · Decision records
29 Sep · 01
The Product Picnic
LLMs are just normal technology. But tech is just a normal medium.
Pavel Samsonov · 27 September 2026
Product writer Pavel Samsonov argues that AI prototypes tempt teams to skip the first step in making a product: deciding what problem it should solve.
Company story · prototyping · handoff · After the prototype
29 Sep · 02
Nimble UX
Where do we find room to think?
Maya Elise Joseph-Goteiner · 27 September 2026
Maya Elise Joseph-Goteiner, founder of the user-experience agency Velocity Ave, worries that research teams increasingly edit AI output, which cannot push back as a colleague would.
Company story · collaboration · roles · Understanding the work
29 Sep · 03
Design Systems Collective
Before You Let an AI Agent Touch Your Design System, Write Down Four Rules
Guilherme Negreiros · 25 September 2026
Guilherme Negreiros, who builds a design system with AI agents, writes every exception into the short rule files the agents read, because an automated audit removed a deliberate browser fix.
How-to · design systems · decisions · Agent context files
29 Sep · 04
Nate's Newsletter
Executive Briefing: You Bought Better Tools and Your Finished Work Still Waits
Nate B. Jones · 27 September 2026
AI newsletter writer Nate B. Jones argues that one person's speed with AI agents can outrun a team's review and decisions, and names six principles for raising team output.
Company story · collaboration · roles · Changing roles
29 Sep · 05
Design Systems Collective
“You don’t fix the output, you fix the system” — Cristian Morales Achiardi on agentic design systems
Shane P Williams with Cristian Morales Achiardi · 25 September 2026
Cristian Morales Achiardi, a design engineer, generates a design system's code, design files and documentation from specifications machines can check, so a wrong result is fixed in those specifications.
How-to · design systems · agents · Agent context files
29 Sep · 06
Medium
Durable Agentic Teams: Maximizing Your Software Development Workflow
Jonah Turnquist · 29 September 2026
Jonah Turnquist, chief technology officer of the property-planning software company PropCode, organises his AI coding agents like an engineering team, and finds that his own review time becomes the limit.
How-to · agents · collaboration · Agent ownership
29 Sep · 07
Accidentally in Code
Good Architecture Is a Function of Time
Cate Huston · 29 September 2026
Cate Huston, who led the rebuild of Twill, a recruiting platform, says a design system and a strict permissions model paid off once her team built with AI agents.
How-to · decisions · design systems · Agent context files
29 Sep · 08
Agoda Engineering & Design
Key Takeaways from Agoda’s AI Developer Report 2026
Agoda Engineering · 29 September 2026
Agoda, the online travel company, surveyed developers in Southeast Asia and India: 53 percent use AI agents widely, and 79 percent require a person to approve production deployments.
Company story · agents · roles · Human approval
29 Sep · 09
Medium
The Approve Button Is Not a Control
Rama Lingamgunta · 29 September 2026
Rama Lingamgunta, who builds AI agent platforms, replaced a single Approve button with three earlier approvals after a reviewer passed a 1,400-line agent change in under two minutes.
How-to · critique & review · agents · Human approval
29 Sep · 10
LeadDev
AI makes critical thinking harder to build
Mia de Búrca · 29 September 2026
Mia de Búrca, a staff engineer at Vistaprint, argues that AI tools spare junior engineers the struggles that built their judgement, so leaders should make room for that practice.
Company story · roles · rituals · Training juniors
29 Sep · 11
Behind the Craft
We Built Grok Bot. Here Are Our 14 Best Bots | Peng Zheng & Lauren Tan
Peter Yang with Peng Zheng and Lauren Tan · 27 September 2026
Two leads at SpaceXAI show how they share work with AI agents: the designer builds the first screen by hand, and the engineer's agent divides projects among other agents.
Company story · agents · design systems · Agent context files
28 Sep · 01
Design Outcomes
New Patterns Are a Tax
Leonardo De La Rocha · 26 September 2026
A design team for clinical software drafted two rules for keeping its product simple, reuse existing patterns and judge each design in context, from reviews that included AI-generated layouts.
How-to · critique & review · design systems · Workshops that ratify
28 Sep · 02
Design Outcomes
Good Isn't Great
Leonardo De La Rocha · 26 September 2026
A designer fixed a billing problem for clinicians in an afternoon with an AI coding agent, and his design lead used the review to take it from good to great.
How-to · critique & review · roles · Human approval
28 Sep · 03
Atlassian
Introducing CAFE(S): A framework for defining AI context quality
Brian Houck · 24 September 2026
Brian Houck of the developer-research firm DX defines five qualities of the instructions AI agents read, and argues that each shared instruction file needs a team that owns it.
Company story · agents · artifacts · Agent context files
28 Sep · 04
Sublime Coding
DHH's Rails World 2026 Keynote: Pencils Down, Now What
Jared Smith · 24 September 2026
Engineering leader Jared Smith argues that when AI agents write the code, a person must still own how the changes fit together, which a better model will not fix.
Company story · roles · decisions · Agent ownership
28 Sep · 05
Elevate
The Code Nobody Reads
Addy Osmani · 28 September 2026
Addy Osmani withdraws his advice to read every line of AI-written code and proposes automated review of every change, human review matched to risk, and a person approving every merge.
Company story · critique & review · roles · Human approval
28 Sep · 06
LeadDev
Your agent loop is not a production system
Sriram Madapusi Vasudevan · 28 September 2026
An Amazon Web Services engineer argues that once an AI agent can change live systems, teams must prove separately who approved a change, what ran and whether it worked.
How-to · agents · roles · Agent ownership
28 Sep · 07
Salesforce Engineering
Engineering Multi-Agent AI Teams That Build and Test Themselves
Sohini Arya and Manish Kumar Jha · 28 September 2026
A Salesforce team built AI agents that design and test teams of other agents, aiming to cut hours to minutes, with an engineer approving every design.
How-to · agents · critique & review · Agent ownership
28 Sep · 08
Databricks
How Databricks rolls out frontier models to 12,000 employees on Day 1
The Databricks AI Product and Engineering Team · 28 September 2026
Databricks, a data and AI software company, gives staff each new AI model on release day within a capped budget, then keeps or drops it on measured cost and quality.
Company story · agents · decisions
28 Sep · 09
BLOG@CACM
Nobody Did TDD for 25 Years. Now the Machine Requires It
Abtin Aghagolian · 28 September 2026
Abtin Aghagolian, chief technology officer of Pikd, a London augmented-reality company, argues that tests written before an AI agent writes code are now how engineers control its output.
How-to · agents · critique & review · Evals before the build
28 Sep · 10
Design Outcomes
Know What to Doubt
Leonardo De La Rocha · 26 September 2026
A design team labels each part of a ticket for an AI coding agent as human-written or agent-written, so that reviewers know which kind of error to look for.
Company story · critique & review · artifacts · Decision records
27 Sep · 01
The Beautiful Mess
TBM 441: AI, the Loss of Positive Friction, and What to Do About It
John Cutler · 24 September 2026
Product writer John Cutler argues that AI removes the manual steps where teams used to judge customer feedback, and proposes keeping every summary linked to what customers said.
Company story · artifacts · Decision records
27 Sep · 02
Design Outcomes
Three Lattes, One Order
Leonardo De La Rocha · 26 September 2026
A design lead proposes keeping one requirements document per feature, a table with a prototype under each row, so that people and AI agents build from the same version.
Company story · artifacts · handoff · Decision records
27 Sep · 03
SVPG
Experts Lead Experts
Marty Cagan · 25 September 2026
Marty Cagan of the product consultancy SVPG argues that the current push for fewer managers is temporary, and that each craft still needs leaders who are expert in it.
Company story · roles · Changing roles
27 Sep · 04
Design Outcomes
A Working Feature Isn't the Same as a Trusted One
Leonardo De La Rocha · 26 September 2026
Clinicians doubted an autosave feature that worked, so the product team paused its rollout and added an indicator that shows the save while it happens.
How-to · critique & review
27 Sep · 05
LukeW
Skip the Tools, Make the Outcomes
Luke Wroblewski · 24 September 2026
Designer Luke Wroblewski found that readers of his AI newsroom mostly asked for a report on their question instead of browsing articles, and argues for outcomes before tools.
Company story · artifacts
26 Sep · 01
GitHub Blog
When chat is the wrong UI
Burke Holland · 24 September 2026
Burke Holland of GitHub argues that once a person knows a repeated job, having an AI agent build a small app for it costs fewer tokens than asking in chat.
How-to · agents · artifacts
26 Sep · 02
Microsoft Inside Track
From the field: How agentic AI is reshaping adoption at Microsoft
Poly Palaiogeorgou · 24 September 2026
Microsoft reports that staff in its Europe South region now take up AI agents without being pushed, and that the hard part has moved to governing them.
Company story · agents · critique & review · Human approval
26 Sep · 03
Microsoft Inside Track
Driving seller adoption of Sales Agent through role-based change management at Microsoft
David Hirning · 24 September 2026
Microsoft had a business programme manager take its sellers' workflows apart before rebuilding its sales AI agent, and is moving to judge the agent by deal speed rather than usage.
Company story · roles · handoff · Work cut to size
26 Sep · 04
The Pragmatic Engineer
Design Engineering with Maggie Appleton
Gergely Orosz with Maggie Appleton · 23 September 2026
Maggie Appleton, a research engineer at GitHub, no longer reads the code AI agents write for her prototypes and writes a spec saying how the agent will check its work.
Company story · prototyping · Evals before the build
26 Sep · 05
CIO
I stopped asking my team to use AI. I asked them to manage it
Dan Graves · 25 September 2026
Dan Graves, chief product officer at WitnessAI, has seven people on his team manage AI agents like junior hires, with a person approving work before it moves on.
Company story · agents · roles · Agent ownership
26 Sep · 06
shubs.io
do we still enjoy software engineering in the age of AI?
Shubham Shah · 26 September 2026
Shubham Shah, co-founder of the company Assetnote, published an engineer's message about losing satisfaction since the team moved to coding with AI, and his reply as their manager.
Company story · roles · Understanding the work
26 Sep · 07
UX Tigers
Default Dominance: Most Users Never Change the Setting You Ship
Jakob Nielsen · 23 September 2026
Jakob Nielsen shows that most users keep whatever setting a product ships, and argues that AI agents hide their defaults in instruction files that need an owner.
How-to · agents · decisions · Agent ownership
25 Sep · 01
Product Talk
Trash Can Tracking — All Things Product Podcast with Teresa Torres and Petra Wille
Teresa Torres and Petra Wille · 22 September 2026
On the podcast All Things Product, Petra Wille proposes that teams keep a visible record of rejected problems and solutions; an empty record of rejected solutions means nobody compared options.
Company story · rituals · decisions · Decision records
25 Sep · 02
Nate's Newsletter
Your agent is giving you reasonable answers from half your context. A conversation with OpenAI.
Nate B. Jones · 22 September 2026
Nate B. Jones reports from OpenAI that whether staff find AI useful depends more on whether it can reach their material than on their skill.
Company story · agents · collaboration · Agent context files
25 Sep · 03
Codacy
How AI Is Changing the Engineering Manager Role: More Context, More Capacity, and the New Job of Protecting Focus
Codacy with Alejandro Rizzo and Jorge Braz · 25 September 2026
Two engineering managers at Codacy, a maker of code-quality tools, say AI tools let each engineer start several tasks at once, so they now limit how much work is open.
Company story · roles · Changing roles
25 Sep · 04
arXiv
Developing a Roadmap to an AI-first Organization: A Case Study in Embedded Software Development
Viktor Kjellberg, Srijita Basu, Simin Sun, Farnaz Fotrousi and Miroslaw Staron · 25 September 2026
Researchers held a workshop with 40 staff at a large embedded-software company and turned their views on AI agents into a roadmap for reorganising the company around them.
Company story · roles · agents · Agent ownership
25 Sep · 05
Anthropic
How to prepare for AI-driven code modernization projects
Jonah Ezekiel and Lexie Tonelli · 23 September 2026
Two Anthropic engineers advise companies modernising old code with AI agents to agree, before the work starts, what each change must prove and how much human review it gets.
Company story · critique & review · artifacts · Evals before the build
24 Sep · 01
Stripe
How Stripe is designing Checkout for AI agents
Cara Mecozzi and Steve Kaliski · 22 September 2026
Stripe made its Checkout page cheaper for AI shopping agents to use by offering them only the actions valid at each step, built on the human checkout's own code.
How-to · agents · Interfaces for agents
24 Sep · 02
Cursor
Bots for the last mile: Rollouts, Security Review
Rustam Lalkaka · 23 September 2026
Cursor launched two AI bots for the work after a code change is proposed: one plans and watches the release, and one reviews every change for security flaws.
Company story · agents · critique & review · Human approval
24 Sep · 03
Evil Martians
AI makes design system guardrails mandatory; this framework delivers them
Anton Lovchikov and Yuri Mandrikov · 23 September 2026
Evil Martians, a product consultancy, stops AI agents that build screens from changing the design system, and records every exception for a person to review.
Company story · design systems · agents · Agent context files
24 Sep · 04
Shopify Engineering
Helix: The internal tool powering our Shopify app's native migration
Talha Naqvi · 21 September 2026
Shopify rebuilds its mobile app with AI models in small steps, each checked by tests, a visual comparison and two reviewing agents before an engineer approves it.
Company story · critique & review · agents · Work cut to size
23 Sep · 01
SEP
So, AI Killed Your Code Review Process. Now What?
Nicole Selig · 22 September 2026
An engineer at a software consultancy argues that when AI-written code outgrows review, teams should cut work into thin slices and review the agent's plan before any code exists.
Company story · critique & review · rituals · Work cut to size
23 Sep · 02
Lenny's Newsletter
Advanced evals: How to find (and fix) hidden AI failures in your product
Hamel Husain and Shreya Shankar · 22 September 2026
Two specialists in testing AI products argue that people should read real AI sessions and note the failures themselves before an agent looks for errors or anyone writes a metric.
How-to · critique & review · rituals · Evals before the build
23 Sep · 03
UX Collective
In the age of AI, the UX field survives on leaders who cultivate juniors
Patrick Neeman · 22 September 2026
A designer argues that design leaders should hire juniors again, because AI tools make newcomers useful sooner and questioning AI output is learned beside a senior.
Company story · roles · Training juniors
23 Sep · 04
Lenny's Newsletter
How I AI: Meta's Muse review + How Warp ships 2,000 PRs a month with AI factories
Lenny Rachitsky · 21 September 2026
Warp, which makes tools for software teams, lets the person who asked its AI agent for a code change review that change, instead of waiting for a separate reviewer.
Company story · critique & review · roles · Human approval
22 Sep · 01
Linear
AI coding has made CI a bottleneck, so we reworked ours to keep up
Mufeez Amjad · 21 September 2026
Linear rebuilt its automated code checks after AI agents made writing code faster than checking it, and taught its agents a new testing rule in the same change.
Company story · agents · artifacts · Agent context files
22 Sep · 02
Warp
Using LLM-as-a-judge scoring to measure your software factory
Zach Lloyd · 18 September 2026
Warp's chief executive explains how AI agents can grade a sample of coding agents' past work against written criteria, so that people review the failures rather than every change.
How-to · critique & review · artifacts · Evals before the build
22 Sep · 03
Bolt Labs
Design engineering at Bolt: shipping components with AI agents
Burak Özdemir · 17 September 2026
At Bolt, designers now build interface components with AI agents directly in the library that ships, and engineers review those components instead of rebuilding them.
Company story · design systems · handoff · Human approval
22 Sep · 04
Design Outcomes
The Bottleneck Moved to Review
Leonardo De La Rocha · 19 September 2026
When designers at Leonardo De La Rocha's company began making code changes with AI agents, the review broke down, so he set out who reviews them and to what standard.
Company story · critique & review · roles · Human approval
21 Sep · 01
The Product Picnic
Assigning agency to AI means surrendering your own
Pavel Samsonov · 20 September 2026
Pavel Samsonov argues that treating an AI model as a colleague lets people hand over work nobody has checked, and that whoever hands it over stays responsible for it.
Company story · roles · agents · Human approval
21 Sep · 02
GitHub Blog
Should you read the code, is RAG dead, and did Skills kill MCP?
GPS (@madebygps) · 18 September 2026
A GitHub developer advocate argues that people must still review code written by AI, with effort matched to the risk, until they can explain and own the result.
Company story · critique & review · Human approval
21 Sep · 03
Design Outcomes
What the Loading State Promises
Leonardo De La Rocha · 19 September 2026
A designer noticed that the loading text of his AI feature described several steps while the system made one quick call, and his design lead argued for a simpler indicator.
How-to · critique & review · rituals · Workshops that ratify
21 Sep · 04
Design Outcomes
One Chat, and It Grows
Leonardo De La Rocha · 19 September 2026
Leonardo De La Rocha changed his mind twice in a week about how many AI chats his product should offer, and chose one because customers wanted one place to type.
How-to · decisions · collaboration
21 Sep · 05
Nielsen Norman Group
The 3 Roles of Context for AI Agents
Tanner Kohler · 18 September 2026
A Nielsen Norman Group study found that heavy users of the AI agent Claude sort its background information into three kinds, including standing rules on what needs their approval.
How-to · agents · Agent context files
20 Sep · 01
The Pragmatic Engineer
AI Skills with Matt Pocock
Gergely Orosz with Matt Pocock · 17 September 2026
Engineer and educator Matt Pocock uses short instruction files that make AI coding agents question him closely about a plan, which leaves him more time for strategic work.
Company story · agents · decisions · Evals before the build
20 Sep · 02
UX Tigers
The 100 Most Common UX Design Methods, Ranked by Value
Jakob Nielsen · 16 September 2026
Jakob Nielsen ranked 100 design methods by value and put AI prototyping first, while warning that a working demo argues as hard for a bad idea as a good one.
Company story · prototyping · decisions · Ground truth for review
19 Sep · 01
Product Talk
Creating Aha! Builder: Concept to Code, No Engineers Required
Teresa Torres with Brian de Haaff, Chris Waters and Sarah Moisan-Thomas · 17 September 2026
Aha!, a maker of product-planning software, built an AI app builder for product managers that creates a design system first and uses ready-made parts for sign-in and data.
Company story · prototyping · roles · Changing roles
19 Sep · 02
UX Tigers
Comparison Tables Are Decision Machines: Design Them to Deliver a Verdict
Jakob Nielsen · 17 September 2026
Jakob Nielsen argues that comparison tables exist to help people decide, and that AI assistants now build their own, so tables need specific, sourced values in place of checkmarks.
How-to · design systems · agents · Interfaces for agents
19 Sep · 03
DataHub
What Shipping an AI Agent to 16,000 People Taught Me About Reviewing One
Ananya Das · 17 September 2026
Ananya Das, an intern at DataHub, tested a support agent before its release and found that an unchecked human review had made the agent look worse than it was.
Company story · critique & review · Human approval
18 Sep · 01
DataHub
Context Engineering for AI Agents: Why the Hard Part Isn't the Context Window
Lakshay Nasa · 16 September 2026
DataHub, which sells data-management software, argues that AI agents give confident wrong answers because the company data they read was never checked, and that experts should approve it first.
How-to · agents · Ground truth for review
18 Sep · 02
The Airbnb Tech Blog
Beyond the model: Engineering AI infra with scientific judgement
Wren Dougherty · 15 September 2026
Airbnb built Insight Miner, a tool that writes its analysis method into software around an AI agent, so that findings from customer-support data can be reproduced and checked.
Company story · artifacts · Ground truth for review
18 Sep · 03
The Pragmatic Engineer
Inside OpenAI's agentic software factory
Gergely Orosz · 15 September 2026
Gergely Orosz describes how OpenAI builds software with its coding agent Codex: people define the problem, agents write and review the code, and high-risk changes can require a person's review.
Company story · agents · Human approval
17 Sep · 01
Product Talk
4 New Evals and 16 Experiment Variants to Fix 1 Customer Complaint
Teresa Torres · 16 September 2026
Teresa Torres spent three weeks and sixteen experiments fixing one customer complaint about an AI product, starting by measuring how often the error occurred.
How-to · critique & review · Evals before the build
17 Sep · 02
Product Talk
Delivery Isn't Free, All Things Product Podcast
Teresa Torres and Petra Wille · 15 September 2026
Teresa Torres and Petra Wille argue that AI coding agents made building a feature cheaper but did not make delivering a reliable product free.
Company story · collaboration · After the prototype
17 Sep · 03
Vercel
How Delphi ships 100 times a day with its Python backend on Vercel
Susan Aziz and Kevin Sundstrom · 15 September 2026
Delphi, a company with ten engineers, ships to production over 100 times a day and first sees its AI agents' work on live preview links, according to Vercel.
Company story · prototyping · Human approval
17 Sep · 04
Nielsen Norman Group
AI Can Help Write an Article, but It Can't Stand Behind It
Raluca Budiu · 11 September 2026
Raluca Budiu, an editor at Nielsen Norman Group, explains that the firm uses AI to write and critique articles, but only a human expert decides whether it publishes them.
Company story · critique & review · Human approval
16 Sep · 01
Behind the Craft
Stop Building AI Agents. Start Building AI Employees
Peter Yang with Pedro Franceschi · 13 September 2026
Pedro Franceschi, chief executive of Brex, says each AI agent should be set up like a new employee, with one job, written instructions, a human manager and a budget.
Company story · agents · Agent ownership
16 Sep · 02
Nielsen Norman Group
Test Complex Interactions Earlier with AI Prototyping
Megan Chan · 11 September 2026
Megan Chan of Nielsen Norman Group shows designers using AI tools to test complex interfaces with users before engineers build them, and warns that a polished prototype is not finished.
How-to · prototyping · After the prototype
16 Sep · 03
The Product Picnic
AI hypervigilance is now an omnipresent cognitive load for your users
Pavel Samsonov · 13 September 2026
Pavel Samsonov argues that AI has made scams and machine-written content so common that users now check everything they read, and that companies have shifted this effort onto them.
How-to · critique & review
16 Sep · 04
The Beautiful Mess
TBM 439: Day At The Gig
John Cutler · 11 September 2026
John Cutler, starting a new job, describes how hard it is to learn a product from its notes and maps, and argues that keeping such context current deserves more attention.
Company story · collaboration · Decision records
16 Sep · 05