thisisfatih

8 ms·

1. 1.▲
   by thisisfatih 5mo ago

   The refactor-per-cycle fix lands in the right place. The harder problem shows up when EvanFlow forks into parallel coder/overseer mode: unit tests pass per agent, but the seams break at merge. Your note that "integration tests at
2. 2.▲
   Tonone-AI/elephant: Persistent memory for Claude Code. Never forget a session(github.com)

   3 points by thisisfatih 5mo ago|1 comments
3. 3.▲
   Inspired by gstack: I stopped prompting Claude and gave it job titles instead(github.com)

   3 points by thisisfatih 5mo ago|1 comments
4. 4.▲
   by thisisfatih 5mo ago

   Over the Easter holidays I hacked together an AI team. Gave each agent a name, a single hat, and told them to think like a founder in their domain. Something clicked. Context size dropped, token consumption dropped, output quality went up.
5. 5.▲
   by thisisfatih 2y ago

   I feel like Tinder has similar issues with job seeking and employee finding In fact after a second thought, its almost identical.
6. 6.▲
   by thisisfatih 2y ago

   It actually works on both ends however recruiter way is prob the most expensive way for especially employers but also in some cases for job seekers. + I am not sure how scalable recruiter setup is.
7. 7.▲
   by thisisfatih 2y ago

   +1 to everything you've mentioned, well said. These are I believe facts and it makes the solution nearly impossible but I really believe that there must be a solution to this setup.
8. 8.▲
   Discussion: Job seekers can't find a job and Employers can't find an employees

   242 points by thisisfatih 2y ago|366 comments