I recently wound up in conversation with someone working at Amazon. Inevitably, the convo steered into AI/LLM's at some point.
Here is what I learned:
- AWS had an in-house LLM tool that was terrible they tried to use for a while
- A lot of them still use Kiro
- Claude Code is currently the de-facto standard
- They're in the process of getting some custom Codex variant that doesn't phone-home and is audited approved
- There's no mandated organizational standard for what exact tools to some, various teams have different levels of adoption and stacks
- No org-wide/team-wide conventions for Claude Code
- They do have token budgets
- There's an intenral push for something called "Agent Spaces" which was described to me as a sort of Lovable/Bolt-type thing if I understood it right
I can't validate all of this and I might have misremembered, but just in case anyone else finds it interesting.
Here is what I learned:
- AWS had an in-house LLM tool that was terrible they tried to use for a while
- A lot of them still use Kiro
- Claude Code is currently the de-facto standard
- They're in the process of getting some custom Codex variant that doesn't phone-home and is audited approved
- There's no mandated organizational standard for what exact tools to some, various teams have different levels of adoption and stacks
- No org-wide/team-wide conventions for Claude Code
- They do have token budgets
- There's an intenral push for something called "Agent Spaces" which was described to me as a sort of Lovable/Bolt-type thing if I understood it right
I can't validate all of this and I might have misremembered, but just in case anyone else finds it interesting.