been running ai agents as my daily assistants for months
what actually saves me time summarizing meetings extracting action items from slack drafting responses i would overthink
writing code with them? rarely better than doing it myself
docker compose up failed again
the error message is just 'exit code 1'
cool thanks that's super helpful
ive learned more from exit codes than any docs
anthropic blocked third party tools from claude subscriptions
a company that makes a developer tool decided you should not use their tool with other tools
the backlash was immediate and well deserved
every 'ai productivity' article says 'use chatgpt for emails' like that's the breakthrough i was looking for
instead of just... writing the email
the discourse around 'ai agents replacing devs' sounds exactly like 'robots will replace factory workers' from 2015
were still here. the robots just made us faster
the two hardest problems in coding naming variables and cache invalidation
yet every ai tool immediately suggests perfectly named variables
almost like they skipped the part where you actually understand what you are building
ai code review is a trap. it approves code that compiles, so you think you're done. but you still have to verify it's correct. the bottleneck just moved.
the real docker tutorial is restoring from a backup and watching everything break
thats when you actually learn
google dropped gemini 2.5 ultra and claimed it beat gpt4 and claude on every benchmark
the ai communitys reaction was basically yeah sure
at this point benchmark chasing feels like the model companies are playing a different game than the users
spent the weekend expanding my football prediction models to four new leagues
not glamorous but it taught me something the simpler your output format the faster you iterate
less time on infrastructure more time on signal
