Jed Ashford

Product leader & engineer @AngelStudiosInc 🎬 | AI + Web3 + storytelling (SketchAI, ticketing, NFTs) | Astrophotography + BBQ enthusiast 🔭🔥 | Faithful LDS 🙏

[Dharmik Harinkhede @AiwithDharmik]

An Anthropic engineer showed me why prompting isn't enough.

2:47am. He dropped a video in a Claude dev Discord.

36 minutes long. 290 views.

He explains how to build a loop so your agent can fix itself and finish without you.

Watched it at 3am. By 3:20 my terminal was open. By 3:40 I was already rewriting how I work.

The video disappeared the next day. I kept the mp4. It's below.

[Jed Ashford @Jedadoo]

It really is a great movie!

[Chris Pratt @prattprattpratt]

Celebrate America’s 250th birthday at the box office!!! There’s a lot of great choices this weekend. But considering it’s July 4 weekend I humbly suggest “Young, Washington.” I was actually blown away. The movie is incredible. Like Braveheart for Americans. Jon Erwin crushed it. William Franklin Miller did a great job as young Washington. Remember the name! A star is born! The movie is awesome! Way to go!!

[BridgeMind @bridgemindai]

Two days ago the US banned Claude Fable 5.

Yesterday China dropped GLM 5.2.

Today GLM 5.2 is #1 on @bridgebench BS at 100.0, and #1 on Reasoning at 42.8, beating Fable 5.

At 1/10th the cost and 300 tokens per second.

You cannot export control your way out of an open source race.

The ban didn't slow China down.

Unban Fable 5.

[Hugging Models @HuggingModels]

Imagine a model that can locate anything in an image just by describing it. That's LocateAnything from NVIDIA. It's a 3B parameter model that combines vision and text to pinpoint objects with incredible accuracy. This is next level computer vision.

[Jed Ashford @Jedadoo]

The time of immense prosperity is on the horizon

[Elon Musk @elonmusk]

True

[Jed Ashford @Jedadoo]

@_cintamani @PJaccetturo @grok make me a color that doesn't currently exist

[Jed Ashford @Jedadoo]

Big changes coming everywhere. I first hand see these same effects from AI, and the need to pivot.

[Brian Armstrong @brian_armstrong]

This is an email I sent earlier today to all employees at Coinbase:

Team,

Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future.

Why now
Two forces are converging at the same time. We need to be front footed to respond to both.

First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth.

Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day.

All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core.

What this means
To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice?

- Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles.

- No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams.

- AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role.

In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs.

To those who are affected
I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done.

All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information.

To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements.

Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters.

How we move forward
To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together:

Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it.

The Coinbase that emerges from this will be more capable than ever to achieve our mission.

Brian

[ClaudeDevs @ClaudeDevs]

New in Claude Code: /ultrareview (research preview) runs a fleet of bug-hunting agents in the cloud.

Findings land in the CLI or Desktop automatically. Run it before merging critical changes—auth, data migrations, etc.

Pro and Max users get 3 free reviews through 5/5.

[Jed Ashford @Jedadoo]

@turnitaround77 @TeeplesCY @grok is this true?

[Elon Musk @elonmusk]

The uniparty in action

[Jed Ashford @Jedadoo]

Thinking about selling these. Would you buy?

[Jed Ashford @Jedadoo]

Heard good things about this

[Millie Marconi @MillieMarconnni]

We just crossed a line nobody was paying attention to.

The CEO of Y Combinator the organization that funded Coinbase, Instacart, Rippling, and thousands of others is personally shipping 10,000 to 20,000 lines of production code per day, part-time, while running the most powerful startup network on Earth.

He did not hire a team. He built a setup that replaced one.

It's called gstack and he open-sourced it for free.

20 AI specialists run in order across every phase of a sprint a CEO that challenges your product framing, an eng manager that locks architecture, a designer that audits every UI decision, a staff engineer that hunts production bugs, a QA lead that opens a real browser and clicks through your app, a security officer that runs OWASP and STRIDE with zero noise.

Each specialist feeds its output directly into the next step so nothing falls between roles and nothing gets shipped without review.

Garry Tan shipped 600,000 lines of production code in 60 days this way. Part-time.

The entire thing installs in 30 seconds and costs nothing.

The definition of what one person can build just changed permanently.

MIT License. Free forever.

[Oliver Prompts @oliviscusAI]

someone built a VS Code extension that turns your AI agents into pixel art characters working inside a virtual office.

it’s free, open-source, and honestly the coolest dev tool i've seen all month.

[Jed Ashford @Jedadoo]

I've seen this first hand. We will need more software engineers moving forward. They'll just take on bigger adventures.

[Dustin @r0ck3t23]

Jensen Huang just gutted the AI job panic with one profession.

Radiology.

The field AI was supposed to kill first.

Jensen Huang: “Computer vision was superhuman in 2019. And yet, the number of radiologists grew.”

Not competitive. Not close. Superhuman.

Every forecast said radiologists were finished.

Every forecast was wrong.

Not slightly wrong. Directionally wrong.

There are now fewer radiologists than the world needs. A global shortage. In the exact specialty AI was supposed to erase.

Why?

Because the task was never the job.

Huang: “The purpose of your job and the tasks and the tools that you use to do your job are related. Not the same.”

Reading a scan is a task.

Diagnosing disease is a purpose.

AI handled the task. The purpose didn’t shrink. It compounded.

Faster reads meant more patients seen. More patients seen meant more disease caught. More disease caught meant more demand for the people who decide what to do about it.

The tool did not kill the job. It fed it.

Then the fear did what the technology never could.

Huang: “The alarmist warning went too far and it scared people from doing this profession that is so important to society. It did harm.”

People heard radiologists were finished and walked away from the field.

Medicine bled talent it could not afford to lose.

Not because the work vanished. Because the panic said it would.

The prediction was wrong. The damage was real.

Huang: “The number of software engineers at Nvidia is going to grow, not decline.”

Not hold steady. Grow.

The company building the infrastructure that automates code is hiring more of the people who write it.

Huang: “I wanted my software engineers to solve problems. I didn’t care how many lines of code they wrote.”

Nobody ever hired an engineer to type. They hired them to think.

When the machine handles syntax, the engineer does not become obsolete. The bottleneck just moves upstream. To architecture. To edge cases. To the kind of reasoning no model handles alone.

The world was never short on unsolved problems.

It was short on people free to chase them.

That is the part the fear narrative misses every single time.

340,000 women once worked as telephone switchboard operators.

That job is gone. Nobody mourns it.

What replaced it created millions of roles that nobody in 1920 had the vocabulary to describe.

The losses are always visible. The gains are always invisible until they arrive.

That pattern has survived every technological shift in history.

It is surviving this one.

The people forecasting mass displacement are making the same mistake as the people who forecasted the end of radiology.

They can see the task being automated.

They cannot see the purpose expanding underneath it.

That blindness is not just wrong.

It is expensive.

Every person scared out of a career that AI will actually make more valuable is a cost the economy absorbs for nothing.

Not because of the technology.

Because of the story told about it.

[Jed Ashford @Jedadoo]

The future is here!

[Nav Toor @heynavtoor]

🚨 Electrical engineers are going to hate this.

Someone just turned React into a circuit board factory. Write code. Get a real PCB manufactured and delivered to your door.

It's called tscircuit. React for Electronics.

No Altium. No $10,000/year licenses. No 6-month learning curve.

You write React components. But instead of <div> and <button>, you write <resistor>, <chip>, and <capacitor>. The same way you build a website. That's how you build a circuit board now.

Here's what this thing actually does:

→ Design real circuit boards using TypeScript and React
→ Edit code in your IDE, watch the circuit update in real time
→ Auto-generates schematics, PCB layouts, and 3D previews from your code
→ Automatic part selection and bill of materials generation
→ Built-in autorouting algorithm for PCB traces
→ Export to Gerber files and send directly to a manufacturer
→ Online playground. Design circuits in your browser right now.

Here's the wildest part:

The creator wrote 40 lines of TypeScript. From that he got a full PCB, a schematic, and a 3D preview. Then he exported it, sent it to a manufacturer, and got a real working circuit board delivered.

40 lines of code. A real physical product.

This is free. Write React. Get hardware.

$20K+ in bounties already paid to contributors. 8 years in the making.

100% Open Source. MIT License.

[Jed Ashford @Jedadoo]

This is how to approach what is happening right now. Faith vs Fear. We're in an exciting time!

[Connor Boyack 📚 @cboyack]

https://t.co/4SMw7birVU

[rvivek @rvivek]

An engineer at Anthropic wrote a spec, pointed Claude at an Asana board, and went home. Claude broke the spec into tickets, spawned agents for each one, and they started building independently.

When the agent is confused it runs git-blame and messages the right engineers in Slack. By Monday the agents finished the plugin feature.

That's one example of how the best engineers are shipping software right now.

Developers will soon orchestrate 50 AI agents in parallel and the difference between a good engineer & a great one would come down to specs.

You can't write a spec that holds up at that scale without genuinely understanding what you're building at a deeper level.

The next-gen developer who understands the fundamentals, can architect well and orchestrate agent is going to be a 1000x developer!

[Tristan @Tristan0x]

This aired tonight to 1 billion people in China. A year ago these robots could barely wave a handkerchief, now they can do backflips and kung fu with nunchucks. Physical intelligence is the next frontier.

[Jed Ashford @Jedadoo]

Much better for my mental health :)

[Mark Gadala-Maria @markgadala]

Fixing childhood trauma with AI 😂

Credit u/YouAreNowDUM