GitHub reports that commits have doubled, Honeycomb's PR rate has roughly doubled, and Anthropic cites a 67% increase in code production, but production incidents are also rising as existing Developer…
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 Flight Recorder, an open-source developer tool for recording, replaying, and inspecting AI application sessions, has been released on GitHub. The tool captures prompts, streamed tokens, tool calls,…
Charity Majors, CTO and cofounder of Honeycomb, said in a podcast episode that skepticism about AI in software development is no longer rational in 2026, comparing AI's industry impact to that of clou…
Charity Majors, co-founder and CTO of Honeycomb, said AI is forcing engineering teams to adopt better instrumentation and observability practices, with traces becoming the source of truth and a produc…
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…
Trail, a new Python SDK, captures AI agent activity as signed OpenTelemetry spans, adding agent-aware tool taxonomy, MCP injection flagging, and skill hashing to detect silent substitution, while expo…
Grafana Labs has expanded Grafana Assistant to query and correlate data across more than 30 data sources through natural language, aiming to unify observability for operators, developers, and SREs. Th…
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…
AI agent failures in production stem from poor architecture—unmanaged context windows, missing governance layers, and insufficient observability—rather than model capability gaps, according to a Hacke…
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 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…
ClickHouse's 26.6 release introduces hypothetical skip indexes, AI embedding functions, and experimental continuous queries, while a new case study shows Visa's Authorize.net team using ClickHouse Clo…
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…
Monitoring catches the failures you predicted, but AI systems fail in ways you didn't, according to Kale Bogdanovs in a post on the Honeycomb blog. The post argues that AI workloads demand observabili…
AWS Graviton5-powered M9g and M9gd EC2 instances are generally available, with production benchmarks from Honeycomb, ClickHouse, and HubSpot showing consistent 36% performance gains over M8g. The new …
Honeycomb built a multi-agent collaboration architecture for its Canvas investigation tool, where multiple engineers' AI agents operate independently in the same runtime session while sharing awarenes…