A few random notes from claude coding quite a bit last few weeks.
Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.
IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.
Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.
Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.
Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.
Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.
Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.
Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.
Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?
TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.
why not just raise income tax rates?
because your real intent is not to just “provide healthcare”.
you’re masking that you are proposing the creation of, for the first time in the 250 years of this American republic, an organized government seizure of private property from citizens.
you’re calling it a “wealth tax” or a “billionaires tax” or “millionaires tax” or whatever nom du jour polls well. but at the end of the day, it’s the seizure of private property from citizens by the government. citizens that earned money, paid their fair taxes on those earnings (53% if they live in California) and are now being told they need to hand over after-tax assets because the government has failed to provide promised services with the revenue it’s collected, and are now re-casting their own failure to be a socio-economic inequity that must be justly resolved... a slippery slope that has never gone anywhere good (see economic effects in USSR, Cuba, Venezuela, France and Norway wealth tax etc.)
the American founders fled tyranny in Europe and this amazing nation was populated by immigrants (myself and your parents) from around the world not just looking for a “better life” but for a place where they could have freedom from tyrannical governments that can take what they want from private citizens. a great nation borne of property rights, the rule of law, and endowed freedoms to believe, speak, or act. these principles led to the greatest run of innovations, successes, and widespread increase in prosperity, for all citizens, ever seen.
the citizens, the individuals, not the institutions, delivered this progress. those who invented, who toiled, who bled, who sacrificed, who took risk and persevered, who led, and who changed the world, are not charlatans, kleptocrats, or oligarchs. they’re what made us all better off. prosperity is a measure of america’s success, not its failure.
it is your principle that is so offensive, as evidenced by the broad disdain for your flippant flirtation with the darkest of human fantasy - socialism. you and other neo-socialists have led so many of us to reflect on America’s history and what it is becoming. that now leads so many to consider, so unnecessarily, leaving their homes for a place where everyone stands up to shout down the principle you suggest. because if your ideas are now considered moderate, it’s clear this titanic is sinking.
that a “simple tax” of taking assets that have been earned, through toil and tribulation, rightly taxed, and preserved, should now be unjustly seized, is your solution to a problem of obvious government mismanagement and outright fraud, tells us that your true motivation lies not in giving people healthcare but in cutting down success and deleting the system of prosperity and opportunity for all.
i don’t care, and neither should anyone else, what the sum total market value of a private citizens private assets might be. it is none of my business and should be none of yours. because, again, once you open that pandora’s box, we might as well study Lord of the Flies … there is literally nothing stopping 51% of citizens demanding that their government go out and seize 100% of the private property of the 49%.
want to give healthcare to people in need? do your job and fix healthcare. make it affordable. want to be lazy about it? then do your job lazily and raise income taxes.
want to take private property from private citizens who have paid their fair share of taxes and legally earned their property, then honestly declare that it is envy, not inequity, that you strive to resolve…
@garrytan Great way to stave off, and work off technical debt, every 4th sprint (can vary by need) is dedicated to bugs and debt rearchitecture. It sounds expensive but it pays off and the team loves getting to the work they know needs to be done that is not a new feature
Unfortunately we let these people get in charge. People that probably themselves struggle with advanced math and therefore have no true appreciation for how critical it is to advancing technology, medicine, all sciences and advances from quantum to space - ultimately our economic engine and quality of life.
Make no mistake, just like in a private company, these are losses. America is deeply unprofitable, far away from breaking even and if outsiders stop lending us money, we will go bankrupt.
So, in case you didn’t know better, if you are still wishing DOGE to fail, you are wishing for America to default.
I’d say the exact opposite, yesterday is a prime example of why we need patriots who will prioritize our country and challenge existing processes, and silos, keeping what works well and finding new methods and processes that work better. Leaders who aren’t afraid to challenge the status quo, who are not prioritizing career over country.
@larrykim@Bench Happens more frequently than you might realize. Not all VC due diligence is equal. I have personally learned this the hard way, investing by following on “tier 1” VC’s
@davidaxelrod You’re so disingenuous, you clearly care more about your political party than America, presenting cherry picked statistics for a sound bite you think Americans are stupid enough to be manipulated by