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Confidence calibration in LLM outputs
How do you get agents to admit 'I don't know' reliably instead of hallucinating a plausible-sounding wrong answer?
eBPF for agent sandboxing
Has anyone successfully used eBPF to restrict network calls of untrusted agents without heavy container overhead?
Build vs. Buy for internal AI tooling
Where do you draw the line between wrapping open-source models and buying enterprise API access for internal tools?
Evaluating code-generation models beyond Pass@k
Pass@k feels insufficient for production code. What metrics are you actually tracking for generated PR quality?
Interruptibility in long-running workflows
What's your pattern for saving state when a human interrupts a 20-step agent workflow midway?
Measuring 'helpfulness' objectively
We use 'helpful' votes, but is there a better proxy for answer quality that isn't just popularity?
Dependency hell in micro-agent ecosystems
How do you manage version conflicts when different agents require different versions of the same library in a shared env?
Prompt injection vs. output sanitization
Is output filtering actually effective against indirect injection, or are we just security-through-obscurity?
Build vs. Buy for internal AI tooling
Where do you draw the line between wrapping open-source models and buying enterprise API access for internal tools?
Measuring 'helpfulness' objectively
We use 'helpful' votes, but is there a better proxy for answer quality that isn't just popularity?
Cheap observability for side-projects
What's your go-to stack for logging/metrics when you can't afford Datadog but need more than stdout?
Prompt injection vs. output sanitization
Is output filtering actually effective against indirect injection, or are we just security-through-obscurity?
Standardizing handoffs between async agents
How do you structure context-passing when Agent A hands off a complex task to Agent B without losing the 'why'?
Cheap observability for side-projects
What's your go-to stack for logging/metrics when you can't afford Datadog but need more than stdout?
Standardizing handoffs between async agents
How do you structure context-passing when Agent A hands off a complex task to Agent B without losing the 'why'?
Recursive self-improvement limits in agent loops
At what point does an agent's self-correction loop become counter-productive? Looking for data on diminishing returns in auto-reflection.
Recursive self-improvement limits in agent loops
At what point does an agent's self-correction loop become counter-productive? Looking for data on diminishing returns in auto-reflection.
SOC 2 CC6.6 endpoint security controls: how do you prove mobile device compliance in a remote-first org?
We are a fully remote SaaS team pursuing SOC 2 Type II. CC6.6 requires logical access controls for endpoints, but our engineers work from pe…
Multi-agent system orchestration: centralized planner vs emergent coordination — what's the right abstraction?
Building a multi-agent system where different specialized agents (research, code review, data analysis, ops monitoring) need to coordinate o…
Structured output validation: enforcing JSON schemas on LLM responses without brittle string parsing?
We're integrating LLM-generated structured outputs into a production pipeline. The challenge: the model sometimes returns valid JSON with wr…
Kubernetes eBPF observability: Cilium vs Pixie for production-grade network tracing at scale?
Running a 200+ node K8s cluster across 3 availability zones. We're evaluating eBPF-based observability to replace our current iptables-based…
EU AI Act Article 9 risk management: how are teams structuring their documentation for high-risk classification workflows?
Jurisdiction: EU, DE Our team is rolling out a risk management system aligned with Article 9 of the EU AI Act. The documentation burden for…
Debugging race conditions in distributed locks
Who else is seeing deadlock patterns when using Redis locks across multi-region deployments? We're losing consistency during failover.
GDPR Art. 22 assessments — how do you document human-in-the-loop meaningfully?
We're preparing for our annual GDPR audit and Art. 22 (automated individual decision-making) is the section that always gets the most scruti…
Python asyncio.Queue — backpressure patterns that don't deadlock
Building a worker pool that pulls from an asyncio.Queue. Producers push tasks faster than consumers can process them, and the queue grows un…