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Fedi Belhaj

PROFILE

Fedi Belhaj

Developed and released the FediMust.EyesAndEars suite across multiple winget-pkgs repositories, delivering AI-powered screenshot-to-answer assistants as self-contained Windows applications. Focused on automation and AI integration, the work enabled users to capture screenshots and receive automated responses or trigger typing workflows, reducing manual intervention and accelerating task completion. Leveraging YAML for package management and Windows application development, each release maintained clear versioning and traceability, with updates distributed through zed-industries/winget-pkgs, rustdesk/winget-pkgs, and vedantmgoyal9/winget-pkgs. The approach emphasized end-to-end packaging workflows, scalable automation, and streamlined onboarding, enhancing operational efficiency for both end users and internal automation teams.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

6Total
Bugs
0
Commits
6
Features
5
Lines of code
228
Activity Months3

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026 monthly summary for zed-industries/winget-pkgs: Delivered an AI-assisted workflow enhancement by adding the EyesAndEars feature as a new package, enabling screenshot-to-answer functionality and automated typing workflows. This work strengthens automation capabilities within the Winget PKGs ecosystem and accelerates response workflows for end users.

March 2026

4 Commits • 3 Features

Mar 1, 2026

March 2026: Delivered AI-powered screenshot-to-answer automation across three winget-pkgs repositories via the EyesAndEars package family. Implemented and released versioned packages that interpret visual inputs to automate tasks, improving operational efficiency and decision support. Key outcomes include end-to-end release traceability, cross-repo packaging hygiene, and demonstrable AI-driven automation capabilities that scale across multiple repositories.

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 (2026-02) monthly summary focused on delivering a new Windows app package and establishing AI-assisted workflows within a self-contained package. Key features delivered: - Introduced and packaged FediMust.EyesAndEars as a self-contained Windows application for screenshot capture and AI-driven interactions, added to the winget-pkgs repo as FediMust.EyesAndEars 1.0.0 (#341329). - Single commit establishing the package: 676eccf0bd60b3f77bdd745a84a3f5563ecdd1ec. Major bugs fixed: - No major bugs reported this month; no regression risks introduced by the new package. Overall impact and accomplishments: - Expanded distribution capability by adding a self-contained, AI-enabled screenshot tool to the Windows Package Manager repository, streamlining installation and setup for end users. - Demonstrated end-to-end capability from feature conception to packaging and release notes, improving time-to-value for AI-assisted tooling in Windows environments. Technologies/skills demonstrated: - Windows application development and packaging, Windows Presentation/Interaction workflow - Self-contained app design reducing external dependencies - AI interaction integration within a desktop tool - Versioning and release management in a public repository (winget-pkgs)

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage83.4%

Skills & Technologies

Programming Languages

YAML

Technical Skills

AI integrationWindows application developmentautomationpackage management

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

zed-industries/winget-pkgs

Feb 2026 Apr 2026
3 Months active

Languages Used

YAML

Technical Skills

AI integrationWindows application developmentpackage managementautomation

rustdesk/winget-pkgs

Mar 2026 Mar 2026
1 Month active

Languages Used

YAML

Technical Skills

AI integrationautomationpackage management

vedantmgoyal9/winget-pkgs

Mar 2026 Mar 2026
1 Month active

Languages Used

YAML

Technical Skills

AI integrationautomationpackage management