supabase/cli
Oct 2025 – Oct 2025
1 Month active
Languages Used
GoSQL
Technical Skills
CLI DevelopmentDatabase AnalysisGoSQL
Nick Littman
PROFILE
Nick Littman
During October 2025, Littman developed a data-driven CLI feature for the supabase/cli repository, focusing on optimizing PostgreSQL workloads. He built the db-traffic-profile command, which analyzes table read and write I/O patterns by querying internal database statistics. Using Go and SQL, Littman implemented logic to categorize tables based on their read/write activity ratios, surfacing actionable workload profiles for targeted performance tuning and resource planning. This work provided users with clear visibility into database usage patterns, enabling more informed optimization decisions. The feature demonstrated depth in CLI development and database analysis, addressing a practical need for workload profiling without reported bugs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
170
Activity Months1
Your Network
35 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. This month focused on delivering a data-driven CLI capability in the supabase/cli to help optimize PostgreSQL workloads by analyzing table read/write I/O patterns. Key features delivered include a new db-traffic-profile CLI command that queries statistics to categorize tables by read/write activity ratio and surface workload profiles to guide optimization. Major bugs fixed: none reported this month. Overall impact: provides actionable visibility into table workloads, enabling targeted performance tuning, reduced latency risk, and better resource planning for database workloads. Technologies and skills demonstrated: CLI tool development, PostgreSQL statistics analysis, workload profiling, and commit-driven development (e.g., feat: command to analyze table read/write I/O patterns (#4334), commit 1240cbcc10e65d9e364a443ec428593af4e1aa7b).
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. This month focused on delivering a data-driven CLI capability in the supabase/cli to help optimize PostgreSQL workloads by analyzing table read/write I/O patterns. Key features delivered include a new db-traffic-profile CLI command that queries statistics to categorize tables by read/write activity ratio and surface workload profiles to guide optimization. Major bugs fixed: none reported this month. Overall impact: provides actionable visibility into table workloads, enabling targeted performance tuning, reduced latency risk, and better resource planning for database workloads. Technologies and skills demonstrated: CLI tool development, PostgreSQL statistics analysis, workload profiling, and commit-driven development (e.g., feat: command to analyze table read/write I/O patterns (#4334), commit 1240cbcc10e65d9e364a443ec428593af4e1aa7b).
October 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoSQL
Technical Skills
CLI DevelopmentDatabase AnalysisGoSQL
Repositories Contributed To
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