Every FREE agentic engineering tool from the best AI builders that I've interviewed:
@kieranklaassen
Compound Engineering (⭐️ 21K): AI skills for planning, building, reviewing, and codifying lessons. My go-to for building with AI.
https://github.com/EveryInc/compound-engineering-plugin
@kunchenguid
gnhf (⭐️ 2K): Let agents work on features while you sleep.
https://github.com/kunchenguid/gnhf
No Mistakes (⭐️ 1.3K): Catch bugs with review, tests, lint, PR, and CI checks for AI-written code.
https://github.com/kunchenguid/no-mistakes
Lavish (⭐️ 425): Review and give agents feedback on AI-generated HTML plans.
https://github.com/kunchenguid/lavish-axi
@mvanhorn
Last 30 Days (⭐️ 41K): Research what people are saying about a topic across Reddit, X, YouTube, Hacker News, and the web.
https://github.com/mvanhorn/last30days-skill
Printing Press (⭐️ 3.3K): Make any website or app accessible to AI agents by sniffing out APIs and generating a CLI.
https://github.com/mvanhorn/cli-printing-press
Agent Cookie (⭐️ 445): Keep your agent machine's sessions in sync with your main laptop.
https://github.com/mvanhorn/agentcookie

incidentally, this is related to why great cofounding teams are usually similar (eg 2 technical best friends) not complementary.
if you need a cofounder to fill missing skills vs just learn them you're probably not cut out for the job.
cofounders help you keep going when you're down and level-up your ambitions every other day.
Paul Graham: It seems a mistake to call oneself a "non-technical founder." You're treating not knowing how to do something as a part of your identity. Surely it's better just to fix that.

If you want to find a truly impactful idea, a good place to look is in the trash bin of history.
Most of the ideas that have most broken out in the last 5 years aren't new. They're old ideas that got written off too early.
examples:
1) AI: When Sam started OpenAI, saying "AGI" got you laughed at
2) Space: Elon started SpaceX after people had written off the 1960s-era dreams as sci-fi
3) Supersonic flight: Blake started Boom after everyone assumed Concorde already proved it couldn't work
4) Nuclear energy: fission and fusion are roaring back decades after ambitious people stopped studying nuclear physics
5) GLP-1's: After the fen-phen disaster, weight loss drugs were synonymous with snake oil.
There's a good reason this keeps happening. When a hyped idea fails, there's a backlash. It becomes embarrassing to work on - anyone still working on it is assumed too dumb to know better.
So, if you want to work on something like this, you have to teach yourself to feel the tinge of that embarrassment and push past it.

VERCEL FTW
For my first product Transcribe, I went with a good hosting provider - super easy to use but had an outage every few weeks.
I learnt my lesson, and for my second (and evergreen) product Coach, I am using @vercel to build, deploy and host the service. It's so powerful and good yet so easy to use.
Thank you @rauchg - it's a privilege to be an investor in Vercel!

435 signatures and counting…
Steve McGuire: “Give up the failed experiment of the last six years.”
UC faculty in the humanities, social sciences, and professional schools are supporting their STEM colleagues with a new letter calling for a return to standardized tests in admissions.

I didn't know what JEPA is, and at this point I am too afraid to ask ...😬
so I made a video tracing the last 30+ years of self-supervised learning, covering ideas from contrastive learning, distillation, masked modeling, JEPA, and world models.
https://youtu.be/gVEr2cnDE_8

Together with my co-founders Michael @MichaelPoli6, Stefano @Massastrello and Armin @athmsx, I am excited to announce @RadicalNumerics is emerging from stealth with a $50M seed round to build general biological intelligence.
We’re also sharing an early preview of our new model Omnii, the most powerful genome language model to date.
Omnii preview link:
https://www.radicalnumerics.ai/blog/radical-numerics-seed
At Radical Numerics, our mission is to master the code of life, and to drive the frontier of biological AI for both design and defense.
This is our dual mandate, which comes from something our own team helped make possible.
Our founding team trained Evo and Evo 2, the largest biological AI models (40B params) trained on DNA sequences. Trillions of tokens across all of life, from microbes to mammals. It’s fully open source, and created the field now known as generative genomics.
Last year, scientists used Evo to generate the world’s first complete genome from scratch using AI. Turns out it was a bacteriophage—a type of virus. It functioned in the real world, and in this case it was harmless. But for us, it was a clear turning point.
It showed that AI is no longer just analyzing biology. It is on the cusp of generating functional lifeforms. Eventually, AI will have the power to design and control life itself.
That should make all of us incredibly excited, and incredibly uneasy. (Anyone can design DNA with a new function, and have it synthesized and delivered, like something from Amazon Prime).
The same technology that will help us cure cancer is the very technology that might create the next global pandemic, or worse, allow the creation of bioweapons that can wipe out populations.
We believe these forces are inseparable. If you work on the frontier of biology, you have to build technology to safeguard it from its misuse. Existing biosecurity tools are sorely losing the arms race, relying on outdated “have I seen this exact thing before?” style algorithms.
We founded Radical Numerics to turn the tide.
And we can’t do that by training on textbooks and natural language. We must understand the language of biology from the raw physical data itself, to reason across every molecule and modality, from DNA to proteins.
The next frontier for AI goes far beyond chatbots or video generators to models that can understand and engineer life.
Today, we’re previewing Omnii, which is already far surpassing Evo 2, and will continue improving as we scale and add new modalities (training now).
1. For human health, Omnii can read and write whole genomes (more on writing later). It’s state of the art (SOTA) on detecting causal variants for disease, and can rank Alzheimer's mutations zero-shot. We’re partnering with a diagnostics company to use Omnii for early cancer detection (pancreatic and multi-cancer).
2. For defense, Omnii is SOTA at detecting AI-generated pathogens. We benchmarked existing detection tools, and they simply can’t detect the AI-generated ones (“deepfake viruses”). We’re partnering with a US national lab to pilot Omnii for detecting the next pandemic, both natural and AI-generated.
We have a data center full of Blackwells in construction now to build the most powerful biological AI models ever. This mission takes a new kind of AI lab that can actually scale on physical, biological data: new alignment research (mid/post training), scaling long context, building out mech interp teams to dissect what these models learn, new architectures and systems designs, all from the ground up.
Our team is made up of AI researchers and scientists from top labs and institutions (e.g. Stanford, MIT, Google DeepMind), but more importantly, we all share the belief that this is the most important challenge of our lifetime. If you feel similarly, we are hiring. We aim to bring the brightest minds in AI and science together to save lives.
Thanks to our partners on this journey, led by Emergence Capital @emergencecap, with Obvious Ventures @obviousvc, Triatomic @TriatomicCap
, and Patrick Collison @patrickc. Our advisors include Eric Horvitz @erichorvitz, CSO of Microsoft, Chris Re @HazyResearch of Stanford, George Church @geochurch of Harvard, and Andrew Weber @AndyWeberNCB, former Assistant Secretary of Defense for Nuclear, Chemical and Biological Defense Programs.
Fortune article: https://fortune.com/2026/06/15/exclusive-ai-dna-radical-numerics-eric-nguyen-biology-biodefense-drug-discovery/
Jobs: https://www.radicalnumerics.ai/join-us

My top 5 takeaways from @mvanhorn:
1. Stop clicking around websites. Print them into CLIs your agents can run.
Matt built Printing Press to turn websites and apps into command-line tools for agents. It researches docs, finds niche repos, and uncovers hidden API calls so agents can use sites like Google Flights, Suno, and OpenArt.
Printing Press: https://github.com/mvanhorn/cli-printing-press
2. Use Compound Engineering to build.
Matt says his favorite way to build is to run /ce-plan and /ce-work over and over. This system from @every gives agents structure for planning, coding, reviewing, and shipping so you are managing the work instead of writing every line yourself.
Compound Engineering: https://github.com/EveryInc/compound-engineering-plugin
3. The plans are for the agent, not for you.
Matt often does not read AI’s full plans. Instead, he asks targeted questions: What files will you touch? What is most likely to break? What would an expert say is wrong with this idea? That catches more issues than skimming a giant plan.
4. Use last30days to do research.
Matt’s last30days skill hit #1 trending on GitHub because it answers a real problem: AI research is often stale or generic. last30days scans Reddit, X, YouTube, Hacker News, Polymarket, and the web to show what people are saying right now.
last30days: https://github.com/mvanhorn/last30days-skill
5. To become an AI builder, solve your own problems and keep shipping.
Matt has no CS degree and says he does not know how to read code. But he kept building tools for his own problems, contributing to open source, and launching what helped him.
Matt walked through Printing Press, Compound Engineering, last30days, Agent Cookie, and his full agentic engineering workflow in our episode.
📌 Watch the full episode now: https://youtu.be/BxEf3RqIHkw
Peter Yang: "I'm not an engineer but somehow I'm able to ship things of value, which is crazy and weird and still blowing my mind."
Here's my new episode with @mvanhorn, a non-technical founder who has contributed to 100+ open source projects and reached 44K+ GitHub stars despite not

introducing t-rex
with t-rex enabled, greptile doesn't just review your PR, it runs your branch in a sandbox to find bugs.
it mocks api calls, clicks around the UI, and writes + runs unit tests
in our benchmarks, it caught ~20% more bugs than base greptile. most of the new bugs caught could not have been caught with more inference, they required code execution.
t-rex is available in beta to all greptile users

Connie Chan does not want new market-rate housing to be built.
Do not elect someone who has no clue about how economics works to Congress.
https://www.sfchronicle.com/sf/article/san-francisco-house-race-housing-22301855.php?fbclid=IwY2xjawSc91hleHRuA2FlbQIxMABicmlkETFPRktCd21qQnREQ1ZHbFZLc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHtruNUi77CG00I9yW3MdlnowLN3xEZPKdbkTQa413al6YyU5e167i_l_RpWR_aem_bMewUAG37kyH31kHAoshTA&utm_campaign=mrf-facebook-SFChronicle&utm_source=facebook&utm_medium=social&mrfcid=202606146a2eb0f0eb83607a2f4c7920

Human-written code died in 2025. Code reviews will die in 2026.
A couple of months ago @swyx from @latentspacepod published my take that the traditional code review is dead (https://lnkd.in/g-S7iZeJ)
A lot of people had thoughts on that — some agreed, and some pushed back. If the topic is still rattling around in your head, or you want to hear where I think this actually goes from here, I'll be speaking at @aiDotEngineer
Come if you want to hear how I see code reviews evolving and a practical verification model that lets engineering teams ship faster without sacrificing quality or control. https://lnkd.in/ggqcygBw

Jackie Fielder is spending your tax dollars to hand out crack pipes and fentanyl smoking kits to the homeless while her district suffers.
She pushes strict harm reduction absolutism that opposes compelled treatment for severe addicts. She used her committee power to gut enforcement in the Four Pillars strategy, calling it “criminalization of poverty,” and voted against the RESET sobering center to keep dealers on the streets.
Her record is pure abolitionist sabotage. She backed Defund the Police, stripped minimum staffing mandates, and repeatedly voted against budgets that would have added cops. While District 9 experienced a 114% SURGE in drug offenses, she starved law enforcement of resources and protected fentanyl dealers under the lie of compassion.
This is ideological betrayal. She enables chaos with taxpayer-funded crack pipes and kits, then calls it justice.
Jackie Fielder must resign.

The future of AI should be grounded in human agency, creativity, and understanding.
@FastCompany explores the rise of world models and features insights from World Labs cofounder @drfeifei:
"Her vision for World Labs—and its human-centered future—is both consistent and persistent. It's like a simulation in her world model. Once in place, it stays put."
Read the full article here ↓
Fast Company: “I’m keenly aware of multiple clocks,” Li says. “They’re all ticking.” http://f-st.co/oOa5Sp3

France's Jordan Bardella perfectly proves that you cannot cheer for a wrecking ball and then act surprised when your own house takes damage.
He and many other European far-right populists are desperately trying to distance themselves from Donald Trump, and it is a miserable look.
These politicians spent years treating Trump like a hero, yet they are now throwing their hands up and claiming they do not support him the same way anymore.
Bardella went from being a fan of the populist wave to claiming he is deeply panicked by Trump's erratic actions. Seeing him try to act like he was never really on board is pathetic.
The truth is that Trump’s worldview leaves zero room for a prosperous or secure Europe. His reckless military stances and trade threats are engineered solely for his own base, leaving Europeans to clean up the wreckage.
This sudden shock proves that Europe's populists either have no basic understanding of global power dynamics, or they actively worked against Europe’s interests on purpose.
Sovereignists from different nations can never be true allies because their core interests will always violently collide. European populists thought they were part of a global club, but they were actually just useful idiots

Very helpful endorsement for anyone still undecided.
For the average San Franciscan who thought Saikat was an obnoxious, self-satisfied, entitled district shopper who tried to buy a Congressional seat, it’s now more clear than ever to vote for @Scott_Wiener in November.
The San Francisco Standard: Saikat Chakrabarti will endorse Supervisor Connie Chan for Congress, he exclusively told The Standard — but he’s not stopping there.
📝: @FitzTheReporter https://sfstandard.com/2026/06/13/chakrabarti-endorse-chan-congress/?utm_campaign=trueanthem&utm_medium=social&utm_source=twitter

California billionaire tax odds of passing plummeted last night. Someone knows something 👀

HAI Founding Director @drfeifei is featured on @FastCompany's cover, explaining "world models" – AI that understand physical space and real-world dynamics. Rooted in human-centered philosophy, she explains what makes it different and what's at stake: https://www.fastcompany.com/91549046/fei-fei-li-world-labs-ai-gets-physical-models-spatial-intelligence

need a lot of RAM but starting to see glimmers of universal intelligence
Unsloth AI: You can now run Kimi K2.7 Code locally! 🌘
We shrank the 1T model to 325GB (-48%) via Dynamic 2-bit where important layers are upcasted.
Run at >40 tok/s on 330GB RAM/VRAM setups.
Run full precision on 610 GB.
Guide: https://unsloth.ai/docs/models/kimi-k2.7-code
GGUF: https://huggingface.co/unsloth/Kimi-K2.7-Code-GGUF

We just dropped a 50-page guide on the shift from vibe coding to agentic engineering.
It covers the new Software Development Life Cycle with AI Agents.
100% free.

Where are all those invites for secret parties and VIP events for the AI Engineer World's Fair?

I make all my social media posts via Codex now.
It's pretty incredible how much time you can save when you chain together skills and browser use.
Should I make a video on how to do this?

Gavin Newsom said today that Trump has directed the DOJ at him and his wife. Federal agents are knocking on the doors of old friends and former staff, a grand jury is running, and years of documents are being pulled apart on the theory that something incriminating must be in there somewhere.
Investigations are supposed to start with a crime, then go looking for the man. This is that run backwards: they have the man and are hunting for a crime to fit him.
And he is not the first name on the list.
James, Schiff, Cook, Powell all got the same treatment, and the cases keep collapsing in court because they were built backwards.
America spent eighty years lecturing other countries about exactly this. The lecture is over.

A triple life update:
1. I recently moved from NYC to London
2. I’m starting a new lab at @imperialcollege
3. I’ve joined my friends and mentors at @amilabs as a founding Member of Technical Staff
It's time to build 🏗️🧑‍🍳

In 1960, California’s Master Plan built the greatest public university system on earth with a simple division of labor: community colleges for access, Cal States for broader competitive range, UCs for PhD training and frontier research.
Then came the 2022-2027 Multi-Year Compact.

I got to watch Matt and Jason iterate on this video, and their work is really impressive.
Stoked to be working with @mattshumer_ and @JasonKuperberg in the pursuit of changing learning outcomes for 1 billion kids.
Matt Shumer: Claude Fable made this Pixar-quality educational video in one shot.
It's a preview of what I'm doing next:
I've joined Alpha School to push the limits of what AI can do for learning.
We're going to transform education for 1B kids.

a YC founder i'm working with was worried because one customer had already built a simple version of his product in-house.
i told him that's not a bad sign, and it's actually the best proof point he has.
if a company is spending expensive engineering time on the problem you're solving, that validates a bunch of things at once:
- the pain is very real
- other vendors are not good enough
- many companies likely have the same pain too

Re @didiercatz @mattshumer_ @JasonKuperberg Yes, one-shot. Was in regards of the prompt strategy

on the one hand the spacex stock price is totally bananas on the other hand he's the only guy in the West that can build physical things so maybe it's way underpriced

san francisco is the best city in the world for builders.
except we can't seem to build a damn thing.
we are in a housing crisis, and nobody is treating it like one.
this should be a five alarm emergency. instead, most of our downtown sits as single story convenience stores and parking lots. there is wasted space everywhere while my one bedroom apartment is pushing over $5k/month.
if we want this city to continue thriving, we can't keep waiting. every month we don't act, more talented people get priced out. founders, engineers, artists. the people who make this city what it is.
by now we should have 50 cranes filling the skyline. the entire downtown corridor should be filled with high density high rises. instead we have parking lots and a permitting process that takes longer than building the actual building.
the demand is there, the supply is not. cut the bullshit, and let people build:
- fast track permitting. cut the approval timeline from years to months
- cut developer fees. we'll make it up ten times over in tax revenue from a thriving economy
- create tax incentives for developers who break ground immediately. remove transfer tax on abandoned buildings. make it easier to build than to let a building sit empty
- reform ceqa so a single lawsuit can't kill a project. stop letting politics destroy our city's future
- set a target. approve enough projects to replace 50% of our vacant buildings within 12 months
the city that tells founders to move fast and break things has spent decades moving slow and breaking almost no ground.
our city is on fire. people want to live here. we need to start acting like it.