Insights on AI agents, cloud infrastructure, and the future of production engineering from the TierZero team.
Prompt engineering is stateless. Context engineering is stateful. The gap between them is where 88% of production AI agents die. Here is what the discipline looks like and why your team needs it.
LiteLLM was SOC 2 certified when credential-stealing malware hit its supply chain. Its compliance vendor is accused of fabricating evidence. What the trust chain gap means for your AI infrastructure.
AI and ML APIs are the least reliable API category tracked across 215+ services. Here is what engineering leaders need to do about it before their next provider incident.
Teleport's 2026 report found that over-privileged AI systems experience 4.5x more security incidents. Here is what the data says, why it keeps happening, and the five-step fix every engineering leader should start this week.
The AI production agent category has grown from a handful of startups to a crowded market in 12 months. Here is how to navigate the landscape, what maturity signals to check, and five trends shaping the category.
AI SRE uses autonomous agents to triage alerts, investigate incidents, and identify root causes. Here is what it actually does, where it falls short, and why AI production agents are the next generation.
Pricing in this category is all over the map. This guide breaks down the four pricing models, what the market charges, what it costs to build your own, and the questions to ask vendors.
The agent itself is 10% of the work. Integrations, knowledge capture, memory systems, and operational reliability are the other 90%. Here is the real cost of building versus buying.
How to evaluate AI agents for production operations: what to look for, what to avoid, and how to run a POC that actually tells you something. Covers vendor questions with benchmarks, red flags, and real deployment outcomes.
Your service count keeps growing but your platform team cannot keep up. Here is how AI production agents handle the reliability operations work that consumes 60-70% of engineering time.
Investigation is the biggest variable in incident resolution and the hardest to optimize with process changes alone. Here is how AI production agents compress the investigation phase from 30-45 minutes to under 10.
An AI production agent autonomously handles everything after code is merged: bugs, incidents, alerts, internal Q&A, and CI/CD issues. Where an AI coding agent builds the software, an AI production agent runs it.
Microsoft's Azure Front Door outage exposes how identity coupling, monoculture deployments, and weak validators turn a single control-plane bug into a nine-hour global incident.
Cloudflare's response to a 3.5x benchmark gap is the blueprint for AI-era infrastructure leaders who need benchmarks to drive faster, safer platforms instead of panic.
TierZero turns hard-won incident response lessons and SOTA AI agents that understand your infrastructure into a ready-to-run AI production agent any engineering team can deploy in minutes instead of spending years on brittle runbooks.
See how AI production agents can transform your incident response, alert triage, and engineering support.