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2026-08-13 Green Software Principles & Patterns #421
Summary
The GSF Patterns project team met to review progress on pattern quality and the green coding skill. The team approved merging a previously reviewed AI pattern into the catalogue and reviewed a new framework for objectively assessing pattern quality against 11 agreed principles. The group agreed an approach for working through the existing pattern catalogue: identify and set aside low-scoring patterns, then focus near-term effort on adding cost-impact information across all patterns.
Key Discussions
Green coding skill trials: A contributor from AVEVA shared results from independently testing the skill across multiple tools and use cases (a pull request, an existing codebase, and an architecture document), reporting consistent results across repeated runs and noting current limitations around infrastructure-level coverage.
Pattern quality framework: A newly codified set of 11 quality principles, developed from prior project discussions, has been built into a reference document, an assessment template, and an updated review skill. The framework was demonstrated against several existing patterns to illustrate how it distinguishes stronger and weaker content.
Catalogue improvement approach: The group discussed how to prioritise cleanup work given limited capacity, weighing whether to focus first on removing or improving the lowest-scoring patterns versus applying a broader improvement (such as adding cost data) across the whole catalogue.
Key Decisions
Merge the open AVEVA-submitted pattern into the catalogue.
Automate synchronisation between the pattern catalogue and the green coding skill using a GitHub Actions workflow.
Assess all existing patterns category by category against the 11 principles; move low-scoring patterns into a backlog rather than removing them outright.
Prioritise adding cost-impact information to all existing patterns as a near-term catalogue-wide improvement.
Next Meeting
Demo of the green coding skill's editor integration
Review of the completed cross-category pattern assessment and proposed backlog list
Activity
franziska-warncke commentedon Aug 13, 2026
Attended
navveenb commentedon Aug 13, 2026
Attended
russelltrow commentedon Aug 14, 2026
Meeting Minutes
Summary
The GSF Patterns project team met to review progress on pattern quality and the green coding skill. The team approved merging a previously reviewed AI pattern into the catalogue and reviewed a new framework for objectively assessing pattern quality against 11 agreed principles. The group agreed an approach for working through the existing pattern catalogue: identify and set aside low-scoring patterns, then focus near-term effort on adding cost-impact information across all patterns.
Key Discussions
Key Decisions
Next Meeting
russelltrow commentedon Aug 14, 2026
The Optimize power consumption for edge AI inference pattern is now live.
russelltrow commentedon Aug 14, 2026
Results of the skill assessment for each category: