Claude Sonnet 4.6 is the backbone of our entire platform, Humans.Team. Over 85 development sessions, Claude Code (powered by Sonnet) built 90% of our Next.js application — from Supabase database architecture and Row Level Security policies to AI journal integration, real-time notifications, PWA offline support, and a bilingual FR/EN system across 30+ pages.
What sets Sonnet 4.6 apart is its ability to hold deep context across long sessions. It remembers architectural decisions from hours ago, understands our codebase patterns, and writes production-ready TypeScript that rarely needs fixing. The reasoning is exceptional — it debugs complex issues by tracing through multiple files and connections.
We also use Claude Desktop daily for content strategy, press releases, blog articles, and bilingual copywriting. The nuance in both French and English is remarkable.
How does the pricing scale for heavier workloads, and are there any caps on context length or API rate limits I should watch out for at the higher tiers?
Curious how Claude handles really long documents compared to the usual token limits I'm used to. Can you drop in a 200 page PDF and have it pull out specific info accurately?
ModuleX
the line that got me is Sonnet basically creeping up on Opus 4.8 territory while costing way less, that's a wild place for the mid tier to sit. when it's driving a browser or terminal on its own, what's it actually doing to keep a long autonomous run from quietly drifting off the original task?
How does Claude handle really long documents compared to other models, and is there a hard cap on context length or input size?
DiffSense
Loving "baby Fabel" so far. Started to use it lasst night. Feels a s good as Opus 4.6 TBH. 🙏
Honestly impressed by how Claude handles longer context without losing the thread. Used it to summarize a messy research doc and it actually flagged ambiguities instead of guessing.
Honestly the tone feels way more natural than other assistants I've poked at, and it actually pushed back politely when my prompt was vague instead of just guessing. Made me trust the answer more.