Everyone on X talking about building AI coding loops I think for 99% of people it's horrible advice. Mostly being promoted by people who profit off token burn Unless you are deeply technical, you are going to build flimsy apps and burn outrageous amounts of money Engineering a loop that produces high quality code requires insane amounts of setup and oversight to make sure it's done the right way For a vast majority of people the best AI coding strategy is: 1. Work closely with your agent, ask it to build the next smallest people of functionality you can think of 2. After each small chunk, ask the AI what it did. Tell it to describe it to you concisely 3. If anything is too technical, ask it to explain in a non technical way so you deepen your knowledge 4. Have it continuously maintain a current state doc you can feed to another LLM to get 2nd perspectives on crucial decisions 5. Mute influencers who give you vague advice that doesn't really mean anything This will actually save more time in the long run because you won't have to untangle code you don't understand

Excited to share that MagicPath is now available as an official plugin for Codex, in collaboration with OpenAI! It's incredibly easy to give Codex an infinite multiplayer canvas where it can design, build, and iterate with you.

Shed - Rave Echoes we're just drowning in great techno this year, aren't we?dreamy and propulsive in equal measure, hypnotic blast of energy first thing in the morning today. this might be the most instantly I've fallen for a Shed album yet.

Notes on 100 Recent Technical Interviews I interview a ton of engineers. Recruiting is the single most important technical CEO activity. Here are a bunch of impressions 1. There is a severe ZIRP engineering overhang that is currently washing out. They're getting laid off, managed out, etc. after having been massively overhired around 2020-2022. This is worst for Tier-2 big tech (think PayPal, Bill, etc.) but also FAANGs. These are overwhelmingly bad engineers. 2. This flood of unqualified but good-on-paper candidates makes this the hardest SF hiring market I have ever seen, due to the amount of nominally strong-looking candidates that you need to grind through. 3. I am highly skeptical of "AI as a cause for engineering layoffs". I think this is a large-scale polite fiction -- the companies don't want to admit they overhired, the engineers don't want to admit they are bad at their jobs. Everyone's blaming AI when it's really just the market rectifying itself. 4. Many of these engineers appear never to have had a real engineering function at their corporations. They're sitting in meetings, "making decisions about technology" but are unable to write software. I leave many interviews baffled by what exactly they were doing for so many years, let alone what their manager was doing. 5. I have interviewed some engineers from FAANG companies so shockingly nontechnical that I am forced to conclude that there is either (1) a lot of resume fraud going on or (2) that there are kickback grifts within those organizations -- people hiring their cousins and splitting the pay, that kind of thing. I have no other explanation. 6. There's a fun side-effect where after interviewing 20 people from certain small but public companies, I actually feel like I am gaining a short sellers' advantage: there are financial technology companies out there that, knowing what I now know, I would never deposit a single dollar into. 8. Based on this "exhaust" data, and extrapolating a little bit, maybe aggressively so: I think folks like @pmarca are basically right when they say that ~every tech company is overstaffed by a factor of 2-4x. Whatever the reason -- staffing ahead of need, monopolizing certain engineer types (Google-style), headcount-driven promotion incentives, the reality is that a lot of these companies are not being run for the shareholders. The aggregate SBC expense is insane, and I expect this is going to get rectified eventually. I'm sure that AI will play a role in rectifying this -- but I fear that people are going to blame AI for taking people's jobs when the reality is that the jobs were already long-gone, possibly always useless, but the highly-paid butts-in-seats remained. People will be mad at AI for taking away their lucrative sinecures. Maybe that's the same effect from a public policy perspective, but it feels different morally.

Was just sent this… ⚡️