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A post[1] from the Manus ex lead engineer on r/LocalLLama got me thinking about improving the tooling these agents have.

Saw CC will use rip-grep if installed, but it won't install it by default for you.

Was wondering if using tree-sitter could reduce token usage, increase speed and better output. Or does this reduce the quality b/c CC now doesn't have the entire glob in memory?

Want to ask the smart people here, what in your workflow that has had a meaningful impact. Currently using CC and codex

[1] https://www.reddit.com/r/LocalLLaMA/comments/1rrisqn/i_was_backend_lead_at_manus_after_building_agents/

Hola,

Got laid off again this week — number four, if we’re counting. Two as a mechanical engg in 2020, and now #2 as a SWE.

I’m back on the grind with Leetcode, getting ready for a FANG interview coming up. Have already extended it a month, will extend another couple months. Don't get many chances so I can't blow it.

In the meantime, maybe time to dive into an AI hackathon in SF.

My usual strategy’s pretty simple: fire off applications, tap the network (not much in tech), and take it one move at a time.

The first transition — from Mech Eng to SWE after that 2020 layoff — was wild. I’d already started rebuilding a web app with the Spotify API — Python, Flask, Heroku, OAuth, the works. Entered a hackathon, technically “won” because no one else finished — my kind of win.

Personal project opened the door to a remote gig in Europe, from Canada, as a QA Automation Engineer. Moved into DevOps and junior SRE work… until the company went under. Landed another remote role a few months later.

And now? Back to the drawing board — but with a bit more experience.

How do you approach this?