May 2026 monthly summary for gip-inclusion/les-emplois. Delivered targeted improvements to city data reliability, transaction integrity across import/processing commands, and governance around company data transfers. The work enhances data quality, reduces import-time failures, and strengthens data movement controls while preserving system performance.

April 2026 performance summary: Delivered measurable business value through feature enhancements, reliability improvements, and security hygiene across Gip-Inclusion repositories. Key outcomes include improved birth place data handling for the ASP module, safer dependency updates through a daily cadence with a 5-day cooldown for non-security changes, more accurate organization derivation by filtering inactive memberships, UI readability improvements, and codebase hygiene that reduces maintenance and technical debt. The work spans les-emplois, dora, and le-marche, with cross-repo consistency on testing, observability of changes, and security posture.

Month: 2026-03 — This month focused on delivering business-value features, tightening data integrity, improving localization, and hardening reliability across gip-inclusion/les-emplois. A mix of UX polish, data-model enhancements, and performance improvements were shipped, accompanied by extensive testing and observability improvements. Key features delivered: - Data model and GEIQ enhancements: Added new FFGEIQ institution kind and enforced uniqueness of national institution kinds; enabled GEIQ assessments listing for DGEFP_GEIQ and FFGEIQ institutions. Commits: 4321544b3b37e474a436746b8eea96ae18f24bf7; 5f43d9e184e376b3e49d7b87ffae764a7be3cf2f; 034d1769c398a4619ee8cb9161bc01326b9e7cc7. - UX polish and localization: Fixed login typo on the Job Seeker portal and standardized the translation to each UI instance to "+adresse e-mail". Commits: 75a7d2c7b0ccc1f26b64dd7d8faaadab4ccdf836; 98875fb558898f89d0acee85997af0b23231833d. - UI component and messaging: Introduced an alert component to unify on-screen messaging. Commit: fb2b2bbc89d7a3f6d30368c632569ab16dd68b2d. - Performance improvements: Eliminated N+1 SQL queries in application listings and in lists of job applications, with demonstrable refactor and optimization. Commits: d6e1c9f3514f4d80f7d4d54db65e21f71fd41f38; 2a5e831fe827ff0cb814712dd370293d05eeb40e. - Reliability, observability and debugging: Added logging for RDVI errors on 422 responses; improved ProConnect debugging with error reason logging and MFA usage. Commits: 1573a10e7d31705a98a0c5e4604279444d46824a; fede1e719f4cbf3bfcc2dd1f7e2bb5b27f1d24c1; a9ef70042ece93d5fd89f591e90fbeb729c81187. - Testing and quality improvements: Refactored employee_record tests into a dedicated test class; improved test data realism including siret generation for EmployeeRecordFactory; enhanced ProConnect token realism for tests. Commits: b097c759bcd66ab98afde0ffa312dc3755775568; 50bbe678a724f2feaf2ebbdc92979d41e5daa9cb; 778028197894f23090ce5e103ef50bf2a8ad32a7. Major bugs fixed: - UI text typos and translation gaps affecting Job Seeker login and consistency (see commits above). - Uniqueness constraint on national institution kinds to prevent duplicates. - RDVI error handling: log errors for 422 responses to aid troubleshooting. - Approvals contracts: display company display_name instead of plain name and explain absence of contracts when none exist. - Search and stability fixes: handle NUL bytes in employer search; better handling of non-JSON 502 responses from Particulier API; lint improvement to skip DJLint on collected static files. Overall impact and accomplishments: - Strengthened data integrity and domain clarity with new institution kinds and clearer eligibility terminology, reducing misconfiguration risk. - Improved user experience and localization coverage, delivering consistent UI copy and messaging. - Higher reliability and observability with targeted logging, better error visibility, and MFA/event tracing for ProConnect flows. - Notable performance gains from addressing N+1 queries, resulting in faster listings and more scalable queries. - Expanded testing discipline and data realism, improving test coverage and confidence for future changes. Technologies/skills demonstrated: - Backend: Ruby on Rails / SQL optimization and refactoring for N+1 scenarios. - Data modeling: new institution kinds, uniqueness constraints, and fixture data. - Frontend UX: component-driven alerts and template refactors for reusability. - Internationalization: i18n consistency across UI strings. - Observability: structured logging, error reason capture, and MFA flow instrumentation. - Testing: test class refactors, realistic fixtures, and token realism for ProConnect-related tests.