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A developer shares observations from testing Databricks' Genie Code, arguing that domain-specific agents with native context (schemas, lineage, permissions) are beating general coding agents in niche tasks, though they trade off portability.
A technical Twitter thread sharing principles for building high-performance vertical AI agents, using the Shortcut spreadsheet agent as an example. Key insight: treat context as a layered cache (L1/L2/L3) to minimize cost per task across the distribution.
A founder shares how they use a custom AI agent named Truman to fully automate their company's social media, arguing that this approach is more efficient than hiring and represents the future of teams.