Matt Johnson

I'm completely convinced at this point that the "Command Palette" is a fundamental UI concept, and should be in all applications. It should also be a built in browser concept, there should be an API for websites to push items to the command palette ("new post", "muted words" etc)

genuine question. how do you debug code and ensure good quality when coding models spit out 1000s of lines i still cannot feel comfortable not understanding what every generated line does, reducing the productivity gains coding models should be giving me

at this point i'm labeling this as performance art

The modern audience doesn't want you to accept this. But DOOM 1993 got everything right. No cutscenes. No hand holding. No corporate slop. Just brutal combat, genius levels and a metal soundtrack. Woke trash disappears within days. DOOM is still here.

THIS GUY AUTOMATED HIS ENTIRE JOB SEARCH WITH AI AGENTS instead of applying manually he built a system with Claude Code that scores every job offer against 10 filters and auto-applies to the ones that match. the agents: > Scanner: discovers listings across 20+ job portals > Evaluator: scores each job A-F against 10 dimensions > PDF Generator: creates an ATS-optimized resume customized per offer > Applicator: fills out application forms automatically via Playwright the 10 filters: > role fit (does the job match one of his 6 target role types) > skills alignment vs. proof points > seniority calibration > compensation range > geographic viability > company stability > product-market interest > growth trajectory > ATS compatibility > timeline urgency results: 516 jobs evaluated. 66 applications sent. 450 auto-rejected with documented reasoning so that the model gets even better. the whole system runs as 12 Claude Code skills. each with its own context doc. the system itself demonstrates exactly the skills the target roles require. multi-agent orchestration, production automation, human-in-the-loop design. this is what job searching looks like in 2026.

New Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or AI brain fry), which is particularly hitting high performers who use the tech to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry