Wow. Awesome launch video! Also, I imagine this is a really fun product to build. You get to use Cofounder to build Cofounder.

In our next release, Level will have remote control for @OmarchyLinux (and all other Linux distros). 🔥

I told my gf I can't hang out right now Github is up, so I have to work don't know when I'll get this chance again

I love this. Like Igor, I prefer the functionality of the Source Control tab in Cursor for reviewing agent work. You can navigate through all files the agent has changed and see the entire file to get context. But that tab is useless once the change is commited. Git Compare is the Source Control tab except for all files that diff from main. morningcoffee.io/git-compare

the only cure to uncertainty is taking an unreasonable amount of action until the answer reveals itself

when spacex was getting started, the first and last men to walk on the moon testified before congress against it. gene cernan told congress commercial space companies "do not yet know what they don't know." he said the boeings and lockheed martins were "the folks who have been working on everything we've done for the last 50 years. they know how it can be done." neil armstrong said he was "not confident" the newcomers could achieve their goals. together with jim lovell they warned it would put america on "a long downward slide to mediocrity." spacex now launches more rockets than every country on earth combined. the experts will always tell you it can't be done. build it anyway!

We’ve seen Claude Code users bring in Codex for code review and use GPT-5.4 for more complex tasks, so we thought: why not make that easier? Today we’re open sourcing a plugin for it! You can call Codex from Claude Code with your ChatGPT subscription. We love an open ecosystem!

you're probably underestimating how crazy things are

this is art

Somebody released a directory of 1,700 dead startups (backed by YC) here is the link: startups.rip all of them have deep analysis of product inside and full funding story (in short, 100% product's description) many of these startups failed not because the idea was bad, but because they launched at the wrong time or were just grant cash grabs the ideas themselves are still worth drawing inspiration from (i've already found few ideas of my further startups btw) [ BOOKMARK ]

Somewhere out there is a guy who uses Notion, Superhuman, OpenClaw on a Mac Mini, Raycast, a mechanical keyboard ($400), Wispr Flow, and gets nothing done every day

The present is a miracle. Don't romanticise the past. The past is a hellscape of tragedy, as a result of ignorance. The present is a miracle. Problems still exist. But problems are solvable. The future will be even better.

Just this past summer, I spoke with @lexfridman about not letting AI write any code directly, but it turns out half the resistance was simply that the models weren't good enough yet! I spent more time rewriting what it wrote than if I'd done it from scratch. That has now flipped.

Everything @LevelRMM shipped this year: level.io/blog/level-2025-a-y… Super proud of the team, but I'm never satisfied. Half the team spent the last 4 months of the year working on a giant project that didn't make it in 2025. On the bright side, January will be fun.

We are going to build a Moon base

Damn

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

In the coming months and years, there will be more conversations about what the American workforce looks like in the age of AI. Instead of asking whether AI will eliminate ALL our jobs, we should be thinking about how to unlock new jobs created by the AI boom. Today’s WSJ piece highlights the good, well-paying jobs being created right here in the US by AI investment. From the article: An investment boom in artificial intelligence is creating a thirst for massive data centers—and a bonanza for the workers building them. The "gold rush" for talent in the data-center industry means that welders, electricians and construction workers are earning 25% to 30% more, says staffing firm Kelly Services. This is the kind of second-order effect that is routinely underestimated in conversations about who benefits from AI. The reality is that benefits from technology spill outward, often dramatically, into the broader workforce. When industries invest with urgency and ambition, the ripple effects are both broad and egalitarian. Decades ago, America saw this in aerospace manufacturing. Later, in cloud computing. Now it’s data centers. America’s dynamic economy gives us a unique advantage: when a new sector emerges, we can build it here. In a world where China is making massive state-backed bets to dominate advanced technologies, our ability to mobilize capital, talent, and innovation domestically is an essential form of competition. And it’s good for American workers. These projects create high-quality jobs that are rooted in local communities, not outsourced abroad. They strengthen the middle class while reinforcing our position as the global leader in the next era of technology. The AI boom has also granted the United States a real chance to reboot domestic energy production. We’re in an energy race with China, and right now, they’re lapping us. China added over 300 gigawatts of new energy capacity in 2024 alone, including 216 GW of solar and 75 GW of wind. The U.S., by comparison, added around 45–50 GW across all sources. If we applied the same national ambition to domestic energy (particularly clean, abundant, reliable energy) the gains would be similarly dramatic. Modernizing transmission lines, building next-generation nuclear, expanding geothermal, and upgrading grid storage: these projects require tens of thousands of skilled workers. They produce long-term, geographically diffuse economic value. And they accelerate innovation by giving entrepreneurs and scientists a stable foundation to build upon. We’re on the cusp of a generational economic opportunity. AI is pushing American industry to invest in ways that have immediate, measurable benefits for everyday workers. If we extend that ambition—if we apply the same spirit of innovation and coordinated action to energy—the result won’t just be technological leadership. It will be a broad-based renewal of the American workforce.