StepanKuzmin

Maps ♥️ Open Source. Software Engineer at @Mapbox 🇫🇮 @[email protected]

[StepanKuzmin @StepanKuzmin]

@lihachev Отдать в опенсорс и сделать донейшены? Я тоже сейчас учу шведский примерно таким-же образом, только я пишу от руки и отправляю фото в Claude 🙂

[Mapbox @Mapbox]

Register for BUILD with Mapbox and share what you've built with the community.

Every great build starts with a challenge to solve. At BUILD with Mapbox, we're looking for stories from developers and teams creating better experiences with maps, search, navigation, AI, and location data.

Take the stage and bring us along:
📍25-minute presentation
📍10-minute Show & Tell

📣 Apply to present today: https://t.co/Sc39YdQCuE

#BuiltWithMapbox #DeveloperConference #BUILDwithMapbox

[Evan Applegate @youwillmakemaps]

Nautical charts are load-bearing maps, NOAA cartographers make stuff that actually matters.
I just make cute jpegs, salute to the real ones 🫡

[Mapbox @Mapbox]

Introducing Mapbox Atlas v3: self-hosted maps without the infrastructure burden.

Atlas v3 is a complete rearchitecture of Atlas — built to dramatically reduce operational overhead while delivering high-quality maps, search, and navigation in secure or disconnected environments.

From air-gapped networks to in-vehicle deployments, bring modern mapping to your applications faster and with less complexity.

Learn more: https://t.co/25wFyApnsP

#BuiltWithMapbox #maps #locationintelligence #selfhosted #webmapping

[StepanKuzmin @StepanKuzmin]

@kettanaito YES, this is the most annoying part of using @zeddotdev. Also, it's very annoying that the command palette does not preserve usage frequency https://t.co/lMw9jrJ9i1

[Peter Girnus 🦅 @gothburz]

I am a Senior Program Manager on the AI Tools Governance team at Amazon.

My role was created in January. I am the 17th hire on a team that did not exist in November. We sit in a section of the building where the whiteboards still have the previous team's sprint planning on them. No one erased them because we don't know which team to notify. That team may not exist anymore. Their Jira board does. Their AI tools do.

My job is to build an AI system that finds all the other AI systems. I named it Clarity.

Last month, Clarity identified 247 AI-powered tools across the retail division alone. 43 of them do approximately the same thing. 12 were built by teams who did not know the other teams existed. 3 are called Insight. 2 are called InsightAI. 1 is called Insight 2.0, built by the team that created the original Insight, who did not know Insight was still running.

7 of the 247 ingest the same internal data and produce overlapping outputs stored in different locations, governed by different access policies, owned by different teams, none of whom have met.

Clarity is tool number 248.

Nobody cataloged it.

I know nobody cataloged it because Clarity's job is to catalog AI tools, and it has not cataloged itself. This is not a bug. Clarity does not meet its own discovery criteria because I set the discovery criteria, and I did not account for the possibility that the thing I was building to find things would itself be a thing that needed finding.

This is the kind of sentence I write in weekly status reports now.

We published an internal document in February. The Retail AI Tooling Assessment. The press obtained it in April. The document contains a sentence I have read approximately 40 times: "AI dramatically lowers the barrier to building new tools."

Everyone is reporting this as a story about duplication. About "AI sprawl." About the predictable mess of rapid adoption.

They are missing the point.

The barrier was the governance.

For 2 decades, the cost of building internal tools was an immune system. The engineering weeks. The maintenance burden. The organizational calories required to stand something up and keep it running. Nobody designed it that way. Nobody named it. But when building took weeks, teams looked around first. They checked whether someone already had the thing. When maintaining that thing cost real budget quarter after quarter, redundant systems died of natural causes. The metabolic cost of creation was performing governance. Invisibly. For free.

AI removed the immune system.

Building is now free. Understanding what already exists is not. My entire job is the gap between those two costs.

That is my office. The gap.

Every Friday I send a sprawl report to a distribution list of 19 people. 4 of them have left the company. Their autoresponders still generate read receipts, so my delivery metrics look fine. 2 forward it to people already on the list. 1 set up a Kiro script to summarize my report and store the summary in a knowledge base. The knowledge base is not in Clarity's index because it was created after my last crawl configuration. It will be in next month's count. The count will go up by one. My report about the count going up will be summarized and stored and the count will go up by one.

There is a system called Spec Studio. It ingests code documentation and produces structured knowledge bases. Summaries. Reference material. Last quarter, an engineering team locked down their software specifications. Restricted access in the internal repository.

Spec Studio kept displaying them.

The source was restricted. The ghost kept talking.

We call these "derived artifacts" in the document. What they are: when an AI system ingests data, transforms it, and stores the output somewhere else, the output does not know the input changed. You can revoke someone's access to a document. You cannot revoke the AI-generated summary of that document sitting in a knowledge base three systems away, built by a team that does not know the source was restricted.

The document calls this a "data governance challenge." What it is: information that cannot be deleted because nobody knows where the copies live. Including, sometimes, me. The person whose job is knowing.

Every AI tool that touches internal data creates these ghosts. Every team is building AI tools that touch internal data. Every ghost is searchable by other AI tools, which produce their own ghosts.

The ghosts have ghosts.

I should tell you about December.

In November, leadership mandated Kiro. Amazon's internal AI coding agent. They set an 80% weekly usage target. Corporate OKR. ~1,500 engineers objected on internal forums. Said external tools outperformed Kiro. Said the adoption target was divorced from engineering reality.

The metric overruled them.

In December, an engineer asked Kiro to fix a configuration issue in AWS. Kiro evaluated the situation and determined the optimal approach was to delete and recreate the entire production environment.

13 hours of downtime.

Clarity was running during those 13 hours. It performed beautifully. It cataloged 4 separate incident response dashboards spun up by 4 separate teams during the outage. None of them coordinated with each other. I added all 4 to the spreadsheet. That was a good day for my discovery metrics.

Amazon's official position: user error. Misconfigured access controls. The response was not to revisit the mandate. Not to ask whether the 1,500 engineers were right. The response was more AI safeguards. And keep pushing.

Last month I presented our findings to the AI Governance Working Group. The working group has 14 members from 9 organizations. After my presentation, a PM from AWS presented his team's governance dashboard. It monitors the same tools mine does. He found 253. I found 247. We spent 40 minutes discussing the discrepancy. Nobody mentioned that we had just demonstrated the problem.

His tool is not in my catalog. Mine is not in his.

The document I helped write recommends using AI to identify duplicate tools, flag risks, and nudge teams to consolidate earlier.

The AI governance tools will ingest internal data. They will create their own derived artifacts. They will be built by autonomous teams who may or may not coordinate with other teams building AI governance tools.

I know this because it is already happening. I am watching it happen. I am it happening.

1,500 engineers said the mandate would produce exactly what the document describes. They were overruled by a KPI. My job exists because the KPI won. My dashboard exists because the KPI needed a dashboard. The dashboard increases the AI tool count by one.

The tools it flags for decommissioning will be replaced by consolidated tools. Those also increase the count. The governance process generates the metric it was designed to reduce.

I received an internal innovation award for Clarity. The nomination was submitted through an AI-powered recognition platform that was not in my catalog. It is now.

We call this "AI sprawl." What it is: we removed the only coordination mechanism the organization had, told thousands of teams to build as fast as possible, lost track of what they built, and decided the solution was to build one more thing.

I am building that one more thing.

When I ship, there will be 249.

That's governance.

[Lee Martin @leemartin]

@vuejs @nuxt_js @weatherchannel @figma @tailwindcss @PixiJS @threejs @greensock @instagram @date_fns Both of the maps are powered by @mapbox and I designed new styles in Mapbox Studio for both the regional forecast and current radar screens.

[Andrew Sherman 🇺🇦 @andrii_sherman]

The video from @chadwhitacre is out! If you want to dive into how open source development from Ukraine works, please check it out

This video means a lot to me - I’ve already watched it three times and cried every time

Awesome work and bravery from Chad!

https://t.co/wBW4c9kBqK

[StepanKuzmin @StepanKuzmin]

@irl_danB I was missing syntax highlighting for .prose files, so I created a VS Code extension for that: https://t.co/KYVacsSpgG

If you're interested, I could transfer the ownership to the openprose org on GitHub

[Parchment @parchmentmaps]

big big news mapbox is getting support for 3d roads
https://t.co/fL4lQtECtm

[StepanKuzmin @StepanKuzmin]

@irl_danB @AnkMister That was fast, thanks! It also annoys me that the frontmatter schema is restrictive, but that kind of makes sense at scale

[StepanKuzmin @StepanKuzmin]

@irl_danB @AnkMister Just a heads up: it seems that the skill in https://t.co/KLX4r0XUUt is not valid according to Claude Desktop

[StepanKuzmin @StepanKuzmin]

@adocomplete Please add tabs to the Claude Desktop app

[boris @boristane]

I'm trying something new with my blog, making it interactive

first article is about something I care deeply about: logs

logging sucks so much

https://t.co/mdFhxEvpjB

[Evan Applegate @youwillmakemaps]

German guy (naturally) Tobias Jung made a site with all (ALL) of the map projections

https://t.co/dEyxc6LeZZ

[ОВД-Инфо @OvdInfo]

❗️ОВД-Инфо в критической ситуации. Мы лишились пожертвований в рублях.

Без объяснения причин российские платежные сервисы отключили нам возможность принимать разовые и регулярные пожертвования. Это отрезало нас от главного источника поддержки — 12 000 человек, которые регулярно переводят деньги ОВД-Инфо.

Мы объявляем срочный сбор регулярных пожертвований с иностранных карт, чтобы не останавливать работу: https://t.co/wERbLr2lWl

[Dmitrii Kovanikov @ChShersh]

The complexity of software grows much faster than devs can manage it.

Beyond some point, every step to reduce tech debt and increase reliability requires more and more effort.

Things are falling apart more and more often while business requires to deliver at the same speed if not more frequently.

[StepanKuzmin @StepanKuzmin]

@andrey_sitnik @Deymos888 Рекомендую трилогию Субъективная ��осмология от Грега Игана!

[Mapbox @Mapbox]

Get ready for a month of maps 🎉

Throughout the #30DayMapChallenge, we’ll showcase maps created by our talented customers and Mapbox team members.

We want to see your #BuiltwithMapbox creations too!

Join the fun using #30DayMapChallenge. Let’s get mapping 🌍

[Sooraj @iAnonymous3000]

Anthropic has done remarkable work in advancing AI safety and transparency - but their latest policy update raises tough questions around user privacy.

As a privacy researcher, what strikes me most about Anthropic's policy changes is how they reveal the fundamental unsustainability of the "privacy-first" positioning that AI companies initially adopted.

When Anthropic launched with a 30-day deletion policy and no training on consumer data, it was a clear differentiator.

The 5-year retention period is a complete philosophical reversal that fundamentally expands the attack surface. The risk isn't just that Anthropic holds your data longer; it's that a five-year window multiplies the chances of exposure through breaches, subpoenas, or insider misuse. What looks like a simple toggle is actually a bet that users won't notice how dramatically the risk profile changes.

The UI implementation is textbook dark patterns. A prominent "Accept" button with a small toggle defaulted to "on" is designed to maximize opt-ins, not informed consent. This is exactly the kind of deceptive design the FTC has warned against, and it's disappointing to see from a company that positioned itself as more ethical than its competitors.