> No org-wide/team-wide conventions for Claude Code
Just for context, this pattern (different teams using different tools in different ways) is extremely normal within Amazon, and is intentional. These shouldn't necessarily be seen as a failure. Amazon likes to have multiple competing options they use for everything, and they constantly evaluate which option is best performing, like an A/B test. After a couple years they will pare away whatever performs worst, replacing it with a new option. This strategy definitely has it's disadvantages, but it is an intentional chosen pattern throughout the company.
Source: I worked there for 5 years, and painfully/tearfully remember the transitions chime -> slack -> teams and workdocs -> quip -> confluence :')
I've only ever seen it in Microsoft shops that used it from the beginning.
I have hit my 6.25x limit exactly once in the last quarter.
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I realize that we will all eventually be forced to pay more for this and I have raised it as a real possibility to the org for budgeting scenario planning; however, for now, why would you pay by token when it's subsidized?!
e: I now understand; you can stop downvoting.
Anthropic (and maybe OpenAI?) have gated all the important enterprise features behind API plus pricing in the last quarter or two.
I hope that I can someday run something very much like it locally.
The moment that happens, the AI industry is essentially useless to me. I don't need some ultra expensive "Totally better" model that does the exact same thing.
I have not heard of any nor run into any token budgets.
There is generally a lot of team-wide usage of CLAUDE.md/AGENTS.md, team-specific skills, oncall skills, etc.
Not as much org-wide, although my org has an MCP server built for helping with oncall.
Everyone and their mother making vibe-app platforms for their company API's now
one of the things that allows is for adding mcps, skills, and various harnesses that are preconfigured to work out of the box.
i doubt its gotten out of the employee needing to sign in every couple hours
Even if it did let me fill out TPS reports 20% faster, who even cares compared to all of this chaos?
so, just like a manager manages employees, or you consult a contractor, agents are a way of getting leverage over a system.
that said, if you want to learn to play saxophone, you're free to do so. just note your personal endeavors may begin to look more like hobbies than marketable skills.
Additionally, for tech work. There is a tension about doing work and not knowing that output is correct or not. I have seen ai spit out thousands of lines of opencv code for a simple color lut. The person doing this had no idea what was going on. If they continued, the token cost and time waiting for agents spinning only goes up.
Yes, agents get smarter and cheaper but the above example replays over and over again even on crud apps. You still need to dev the skills and transfer costs for it to be effective.