Foil
An AI agent that monitors your AI agents
Foil launched on March 12, 2026 with 83 votes, #583 of 23,380 launches that month and more than 95% of that year's launches.
What it does
All observability tools simply log traces with no context. Foil reimagines how you deploy and maintain agents by learning your agents behavior and responsibilities. We call these agent profiles and they evolve as your agent runs. Hallucinations, behavioral drift, loops, grounding failures: caught automatically with context, not just logged. 🎁 Product Hunt Exclusive - 50% off Pro for 3 months with code FOILPH
Real-time feedback while you iterate. Automatic drift detection once you
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Progress AI ObservabilityAug 2026 · telerik.com · ▲168Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.

Aviator Agents2025 · aviator.co · ▲97When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…

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