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engineering
248 postsOur AI Coding Costs Tripled: Key Lessons Learned
Learn how to manage skyrocketing AI coding costs with visibility and governance strategies.
Scraping Indian Government Open Data in 2026: What Works
Insights from scraping Indian government open data reveal crucial lessons for engineers.
Is Your 24/7 Automation Actually Alive? Check It With One Command
Detect silent failures in automation systems with a single command check.
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.comDNS Propagation Time: How Long Until Your DNS Change Goes Live?
Understand DNS propagation time and the factors influencing how quickly DNS changes take effect.
Deployment Engineering: A Necessity for Scalability
Deployment engineering is critical for the successful implementation of AI solutions. Focus on enhancing speed and tracking efficiency.
The Cost of Automated Systems: $440 Million Lost
Three cases of significant losses due to automated systems: Knight Capital, Zillow, and Replit. Important lessons for engineers.
I normalized four log formats into one shape
Triagelens simplifies detection rules by normalizing four log formats. It enhances efficiency for engineers.
AI Engineering Maturity: An 8-Stage Framework
AI engineering maturity offers an 8-stage framework to understand team development. Each stage contains critical lessons for organizations.