Coding agents are scaling fast. How do teams keep up?
The rapid adoption of AI-assisted development has created a "visibility gap," where AI-generated code can pass initial tests but introduce complex, undocumented errors that only ma…
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developer observability
5 articles
Quit trying to keep up with every new AI tool and keep building
To navigate the overwhelming hype surrounding new AI coding tools, developers should focus on identifying creators who demonstrate real value through public work and shared impleme…
Observability is a team sport
The author argues that observability should be treated as a shared responsibility across all engineering roles—including developers, SREs, and DevOps—rather than the task of a cent…
Use code-level analysis to cut MTTR before you push to production
This article highlights the challenges developers face when debugging modern, distributed systems – often spending hours sifting through logs and coordinating with multiple teams t…
How to build workflows that catch bugs early and keep code moving
Observability isn’t just about collecting data. It’s about connecting the dots across your stack to answer why something is broken, not just what is broken. For developers, this me…