Rizz

OpenCode vs Claude Code on four graded tasks. Both hit 4/4. Paths diverged on tools, wall time, and reported tokens. Product lane, not a same-model lab.

Dynamic Workers match Code Mode writing, not Linux coding agents. Capability bindings, the globalOutbound footgun, and when microVMs like E2B still win.

The team product is now the prompt repository. Version agent instructions and skills in git, review them like code, and keep them thin and reproducible.

The quality risk of caveman is the workspace, not token thrift. Easy daily tasks keep quality. Multi-hop agent work is where dialect load matters most.

SuperGrok Imagine starter map for new subscribers. Learn the shared weekly pool, stills then edit then video, and the week-one traps to skip.

Opposite model quality verdicts in the same week often hide different jobs and harnesses. Pin a private suite before thrashing defaults on Reddit vibes.

Multi-session agent orchestration is the scarce skill now. Partition work, isolate writers, budget review so parallel agents do not invent cleanup debt.

Over-defensive AI code is the hangover after vibe coding. Cut silent defaults and empty catch blocks at one trust boundary so real failures stay visible.

Cookie banners often launder consent for trackers you chose to load. Kill non-essential tracking first, or ship equal Reject when ads still need a device ID.

A fat instruction file costs more and can follow less. Thin rules passed every check. Fat files dropped to 80% and burned 21x the prompt tokens on the same task.