Subject
2 entries
Lessons Learned
Bookmarks
All the Hard Stuff Nobody Talks About When Building with LLMs
Honeycomb's post-mortem on building their LLM-powered Query Assistant — the engineering challenges they didn't expect, including output validation, latency at the tail, prompt brittleness, and user trust. Unusually honest practitioner account from a team that shipped an LLM feature to production.
Data Do's and Don'ts: Lessons from the Front Line
Domino Data Lab's 'Data Do's and Dont's' slides from Data Popup Austin — practical lessons from working data scientists about what actually goes wrong in production ML and analytics projects. A practitioner's guide to avoiding common pitfalls.