In-House Enterprise Agents Are Unrealistic
IgorCarron · x · 2026-07-11
The author criticizes an article for misleading enterprises into believing they can build sufficiently mature Agentic AI products in-house.
Drawing on LightOn's experience, they argue that for most companies not deeply entrenched in this field—regardless of size—it is extremely difficult to accumulate the technical complexity needed to demonstrate a clear ROI to management or the board.
The author advocates that a more realistic path for enterprises is to simply purchase solutions from companies like LightOn, thereby avoiding getting bogged down in technical details that will quickly become obsolete and may lack real value. They even suggest that giving enterprises the illusion of a "build vs. buy" choice is dangerously misleading.
Related event: Industry Warns Building In-House AI Agents Is Not Cost-Effective(3 posts)→
More from coding & agent
- Kimi K3 rises to No. 4 on the Agent Arena leaderboard — HeyZoyaKhan · 2026-07-22
- Claude adds screen-recorded skills that can replay your workflow — CodeByPoonam · 2026-07-22
- Devin adds e2b sandboxes for remote agent execution — badphilosopher · 2026-07-22
- Hermes Agent Refactoring Proposal: Decoupling via Event Bus and Monorepo Slicing — Promptmethus · 2026-07-22
- ty now reads Pydantic config keywords and field metadata — charliermarsh · 2026-07-22
- Pensar Launches AI Security Agent to Autonomously Discover and Patch 0-Days — andriy_mulyar · 2026-07-22