Why Every Engineering Team Needs an AI-First Development Workflow in 2026
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →Post-mortems are one of the most valuable practices in software operations — when they’re done well. When they’re done poorly, they produce documents that nobody reads, action items that never close, and a culture of blame that makes engineers less likely to be honest about what happened. The difference between a post-mortem culture that improves systems and one that produces paperwork is entirely in the process.
Blameless post-mortems are often misunderstood as “no one is accountable for anything.” That’s not right. Blameless means the analysis focuses on systemic factors — process failures, design decisions, monitoring gaps — rather than individual mistakes. People make mistakes; good systems catch mistakes before they become incidents. The post-mortem should identify what systemic failure allowed a human error to propagate into a customer-facing incident.
Five Whys analysis consistently produces oversimplified causal chains that miss the real system dynamics. Better alternatives: contributing factor analysis (multiple factors, not a single causal chain) and timeline reconstruction that identifies all the decision points where a different choice could have prevented or mitigated the incident.
The quality of a post-mortem process is best measured by action item closure rates at 30, 60, and 90 days. If your closure rate is below 70% at 90 days, your post-mortem process is generating documentation, not improvement.
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →We surveyed 400 engineering teams who made the switch either direction. The results challenge most of what you've read on…
Read →Dotfiles, aliases, and a few overlooked tools that compound into serious productivity gains over time.
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