Honeycomb launched Canvas Connectors in general availability, offering 12 connectors including GitHub, PagerDuty, Jira and Amplitude that let the Canvas AI agent read from and act in systems outside H…
Honeycomb announced early access to AI Ecosystem, an AI agent fleet-level analysis layer built on its context-rich data model that covers AI Agent Fleet Performance, LLM Cost Tracking, and Agent Conve…
Honeycomb contributed its adaptive_tail_sampling processor to the OpenTelemetry Collector, re-expressing the adaptive sampling algorithms behind Refinery and dynsampler-go in OpenTelemetry-native term…
Honeycomb announced that Canvas, its AI-guided observability workspace for building AI agents, is now Generally Available for all Honeycomb users, with connectors including GitHub and Linear currently…
Honeycomb's Nick Travaglini argues that the traditional three pillars of observability—metrics, logs, and traces—drive up AI observability costs, and recommends wide events as a single format to keep …
Honeycomb's SVP of Engineering, Emily Nakashima, issued a note to the engineering org explaining the company's all-in AI adoption, one year after founders mandated a 2x productivity goal with AI. The …
Fin (formerly Intercom) CTO Darragh Curran nearly tripled engineering productivity after setting a public goal to double it, driven by AI-generated code, an AI-driven PR review system, and observabili…
A new guide from Honeycomb compares seven Datadog alternatives for AI and agent observability, highlighting cost predictability, investigation complexity, and OpenTelemetry portability as key factors.…
Honeycomb CEO Charity Majors reflects on the first year since the company issued its AI mandate, reporting that teams with strong learning culture improved while those shipping slop scaled their outpu…
Ileanell Perez, an engineering manager at Honeycomb, responded to the company's push for AI tool adoption by creating dedicated time for connection, collaboration, and discussion rather than writing a…
AI model drift, a gradual decline in performance as production data diverges from training baselines, threatens reliability even when infrastructure metrics stay healthy, according to a guide by Dan J…
Honeycomb announced the general availability of AI BubbleUp, an AI-powered feature that summarizes significant correlations in BubbleUp results, available to all customers who have enabled Honeycomb I…
In an AMA recap, the authors of Observability Engineering's second edition—Charity, Liz, George, and Austin—answered additional questions on telemetry, AI, and human-in-the-loop processes. Charity adv…
Douglas Soo, a 30-year software developer at startups, reports that LLM-driven coding is exhausting senior engineers and stressing junior engineers, with teams shipping more but understanding less. So…
Fred Hebert's team at Honeycomb deliberately leaned into the code review bottleneck caused by AI-generated code, choosing to maintain thorough reviews rather than reduce them. The team found that velo…
Honeycomb processes 2 million agent-initiated query runs per month, up from a $0.60 eight-tool-call demo a year ago, with average tool calls per session doubling between February and June, according t…
Honeycomb engineering team 2.5x-ed their throughput using AI without breaking quality, but the key lesson is that AI amplifies existing practices—it cannot fix a dysfunctional organization. The team e…
Honeycomb's engineering team more than doubled peak-weekday merges from ~30 to ~74 by April 2026, with AI-attributed code rising from near-zero to 82.6% of new code by June 2026, according to a blog p…
Honeycomb completed a multi-month migration of its Kafka infrastructure from self-hosted Confluent Platform and ZooKeeper on AWS EC2 to open-source Apache Kafka 4.1.1 running in KRaft mode on AWS EKS.…
Fin CTO Darragh Curran writes that AI is an amplifier of existing engineering practices, not a magic wand, and that engineering rigor remains essential. The second edition of Observability Engineering…