@iakob44058343@tobi That's strange! When I press Download link on the https://t.co/mrray7TMur webpage it navigates to the app store and shows App Not Available.
To survive personal builds, you end up model-routing: juggling high efficiency options like DeepSeek V4 Flash or Meta Muse Spark 1.3 for grunt work, then swapping back to heavyweights for edge cases.
Where the compute budget exists, the blast radius forbids it. Where autonomy thrives, the API limits pull the brake.
At a corporate job: You have near-infinite tokens. But you’re dealing with a 10-year-old legacy codebase used by millions. You can’t just unleash 10 autonomous agents without blowing things up. Human in theloop and risk management keep your rate of change low.
On personal/MVP projects: The repo is greenfield, context ready, and has zero legacy baggage. You can map the architecture, launch 5 parallel sub-agents across git worktrees, and watch features build simultaneously.
The catch? Your plan runs dry in 35 minutes.
There are two completely opposite realities of coding with AI right now:
• Corporate: Massive compute budget, strictly limited velocity • Personal: Insane velocity, hit the token wall in 40 minutes
A quick breakdown 🧵
@Henryf1w No, it's pretty good! Haven't done much task implementation as it hit token limit very fast, but used it to review some critical workflows and identify possible improvements.
@BlakeWhittle7 I just use it to give general improvement strategy for some features, then lunch a lot of other subagents to implement the suggestions that make sense for me.