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observability
81 postsNew Framework Lets Services Diagnose Their Own Failures at Runtime
Cognitive Autonomic Framework carries build-time architecture knowledge into runtime, letting services self-diagnose failures without costly LLM log parsing.
ClickHouse vs Postgres: A 100 Million Row Showdown on a Mac Mini
A Mac Mini M4 benchmark pits ClickHouse against Postgres across 100 million LLM trace rows, comparing ingest speed, disk usage, and query latency.
mtime is not a claim: how one cp broke three monitoring systems
A cp without -p reset 54 file timestamps, fooling three separate monitoring systems. Why mtime should never be trusted as a freshness signal.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comWhy LLM Decisions Should Be Deterministic
Why LLM-driven systems need deterministic decision layers, and how auditability, not just consistency, matters for engineering teams.
Why Uptime Bars Should Come From Checks, Not Incidents
Why status pages should compute uptime from confirmed checks, not published incidents, and how a frozen 'public' flag can hide real outages.
Auditing My AI's Slack Access Revealed a Safety Check I Never Used
An engineer audited an AI agent's Slack access logs and found a safety check meant for high-stakes messages had never actually fired.
Netflix's Real-Time Service Topology: Architecture and Lessons Learned
How Netflix built a real-time service topology system using streaming architecture, backpressure, and a three-stage aggregation pipeline.
Five ways your LLM cost tracking is lying to you
Five silent failure modes in LLM cost metering — streaming, prompt caching, serverless flush, cancelled streams, and stale pricing tables.
Kira Project: a tamper-evident evidence layer for AI agents
Kira Project's tamper-evident evidence architecture separates AI agent logs from reports, cryptographically proving what happened and what didn't.
Catching the Zero-Token Billing Bug in AI Streaming Responses
stream_billing_gate.py offline tool detects when AI streaming responses deliver full text but the usage frame is lost, leaving billing at zero tokens.