supabase/cli
Oct 2025 – Oct 2025
1 Month active
Languages Used
GoSQL
Technical Skills
CLI DevelopmentDatabase AnalysisGoSQL
Nick Littman
PROFILE
Nick Littman
Developed a data-driven command-line feature for the supabase/cli repository, focusing on optimizing PostgreSQL workloads through targeted analysis. Built the db-traffic-profile CLI command using Go and SQL, enabling users to query database statistics and categorize tables by their read/write I/O patterns. This approach provided actionable insights into workload profiles, supporting more informed performance tuning and resource planning. The work demonstrated skills in CLI development and database analysis, with a commit-driven workflow that ensured traceability and maintainability. By surfacing detailed table activity ratios, the feature addressed the need for visibility into database operations, facilitating more efficient optimization strategies for users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
170
Activity Months1
Your Network
47 peopleWork 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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