AI & Machine Learning Insights
87 articles on AI & Machine Learning from the Creuto engineering and product team: practical guides, trends, and lessons from building real software.
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AI code review automation: how Duolingo auto-approves 10%
Duolingo lets an AI risk classifier approve about one in ten pull requests, cutting median merge time from 18 hours to 12 without a rise in defects. Hard exclusions and a literacy programme did most of the work.
Akash Mohapatra
Sep 17, 2026
AI agent sandbox escape: VMs failed, Firecracker held
A cyber-capable model broke out of a QEMU/KVM virtual machine three times, finishing with a chain of zero-days found on its own. Against Firecracker it could crash the host but not escape.
Akash Mohapatra
Sep 17, 2026
LLM as a judge evaluation: three biases to correct
Model grading reaches about 85% agreement with human annotators, above the 81% humans manage with each other. It also favours the first answer, the longer answer, and its own style.
Akash Mohapatra
Sep 14, 2026
AI agent observability: traces, caps and cost controls
Standard monitoring reports whether a service responded. It cannot explain a workflow that looped, called invalid endpoints, or claimed work it skipped. What session traces hold, and the controls that bound the bill.
Akash Mohapatra
Sep 12, 2026
AI gateway model routing without giving agents keys
Tailscale's Aperture controls model access through network identity rather than API keys: an agent authenticates as itself, works, and terminates without ever holding a credential.
Akash Mohapatra
Sep 12, 2026
OpenAI Agents API: buy the harness, or keep yours?
OpenAI now sells the Codex harness as a managed API: sessions, orchestration, context compaction and recovery. The build-versus-buy question has moved from the model to the loop around it.
Akash Mohapatra
Sep 11, 2026
Enterprise AI agent architecture: keep knowledge in git
The interesting decision is not the model. It is that expert corrections become reviewable text edits with regression tests, instead of disappearing into weights nobody can inspect.
Akash Mohapatra
Sep 10, 2026
AI coding agent productivity moves the bottleneck to review
Agents produce more code. Somebody still has to decide whether it is right, and that somebody is the constraint. Plan reviewer capacity, not seat count.
Akash Mohapatra
Sep 10, 2026
AI agent sandbox security starts with the allowlist
The sandbox did its job. A package proxy on its allowlist did not. Every control held except the one that was explicitly trusted.
Akash Mohapatra
Sep 10, 2026
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