[{"data":1,"prerenderedAt":192},["ShallowReactive",2],{"case-study-qa-transformation":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":7,"area":9,"summary":10,"order":11,"body":12,"_type":186,"_id":187,"_source":188,"_file":189,"_stem":190,"_extension":191},"\u002Fcase-studies\u002Fqa-transformation","case-studies",false,"","QA transformation: Pest migration + AI-assisted E2E","Testing & quality","Modernized a mature PHP codebase",1,{"type":13,"children":14,"toc":178},"root",[15,35,44,51,56,62,106,112,135,141,146,152],{"type":16,"tag":17,"props":18,"children":19},"element","blockquote",{},[20],{"type":16,"tag":21,"props":22,"children":23},"p",{},[24,27,33],{"type":25,"value":26},"text","Sanitized excerpt of commercial work on ",{"type":16,"tag":28,"props":29,"children":30},"strong",{},[31],{"type":25,"value":32},"Salutte2 (Alephoo HDE)",{"type":25,"value":34}," — an EMR SaaS\nused across 5 countries. No proprietary code is disclosed.",{"type":16,"tag":21,"props":36,"children":37},{},[38],{"type":16,"tag":39,"props":40,"children":43},"img",{"alt":41,"src":42},"AI-assisted E2E flow","\u002Fdiagrams\u002Fqa-flow.svg",[],{"type":16,"tag":45,"props":46,"children":48},"h2",{"id":47},"context",[49],{"type":25,"value":50},"Context",{"type":16,"tag":21,"props":52,"children":53},{},[54],{"type":25,"value":55},"A large, mature PHP codebase (CodeIgniter 3, jQuery) with a thin, inconsistent\ntest suite. Regressions were caught late, and manual QA was the bottleneck before\nevery release.",{"type":16,"tag":45,"props":57,"children":59},{"id":58},"what-i-did",[60],{"type":25,"value":61},"What I did",{"type":16,"tag":63,"props":64,"children":65},"ul",{},[66,77,87],{"type":16,"tag":67,"props":68,"children":69},"li",{},[70,75],{"type":16,"tag":28,"props":71,"children":72},{},[73],{"type":25,"value":74},"Migrated the backend test suite to Pest",{"type":25,"value":76}," — ~64,000 lines of tests across 600+\nfiles — establishing the team's modern testing practice.",{"type":16,"tag":67,"props":78,"children":79},{},[80,85],{"type":16,"tag":28,"props":81,"children":82},{},[83],{"type":25,"value":84},"Designed and built an E2E methodology on Playwright, assisted by an AI agent",{"type":25,"value":86},"\n— a reusable harness (shared helpers, config, pilot-module validation) that\ngenerates and maintains end-to-end coverage. ~+48,000 lines, 1,414 files.",{"type":16,"tag":67,"props":88,"children":89},{},[90,95,97,104],{"type":16,"tag":28,"props":91,"children":92},{},[93],{"type":25,"value":94},"Stood up CI on GitHub Actions",{"type":25,"value":96}," (with ",{"type":16,"tag":98,"props":99,"children":101},"code",{"className":100},[],[102],{"type":25,"value":103},"actionlint",{"type":25,"value":105},") and consolidated error\nmonitoring on Sentry.",{"type":16,"tag":45,"props":107,"children":109},{"id":108},"decisions-worth-defending",[110],{"type":25,"value":111},"Decisions worth defending",{"type":16,"tag":63,"props":113,"children":114},{},[115,125],{"type":16,"tag":67,"props":116,"children":117},{},[118,123],{"type":16,"tag":28,"props":119,"children":120},{},[121],{"type":25,"value":122},"Pest over PHPUnit",{"type":25,"value":124}," — faster feedback and a fluent API that lowered the friction\nof writing tests, which mattered more for adoption than raw parity.",{"type":16,"tag":67,"props":126,"children":127},{},[128,133],{"type":16,"tag":28,"props":129,"children":130},{},[131],{"type":25,"value":132},"AI-assisted E2E as a methodology, not a one-off",{"type":25,"value":134}," — the agents generate and\nmaintain specs; the team owns the harness. The win is sustained coverage, not a\nsingle generated test.",{"type":16,"tag":45,"props":136,"children":138},{"id":137},"outcome",[139],{"type":25,"value":140},"Outcome",{"type":16,"tag":21,"props":142,"children":143},{},[144],{"type":25,"value":145},"Modernized the testing practice of the team and cut manual QA effort per release\ncycle, accelerating release cadence for a product serving tens of thousands of users.",{"type":16,"tag":45,"props":147,"children":149},{"id":148},"evidence-public-pr-metadata",[150],{"type":25,"value":151},"Evidence (public PR metadata)",{"type":16,"tag":63,"props":153,"children":154},{},[155,160,173],{"type":16,"tag":67,"props":156,"children":157},{},[158],{"type":25,"value":159},"PR #13594 — migration to Pest (~64k lines).",{"type":16,"tag":67,"props":161,"children":162},{},[163,165,171],{"type":25,"value":164},"PR #13782 — ",{"type":16,"tag":98,"props":166,"children":168},{"className":167},[],[169],{"type":25,"value":170},"feat(e2e): AI agent E2E testing methodology",{"type":25,"value":172}," (+48k lines).",{"type":16,"tag":67,"props":174,"children":175},{},[176],{"type":25,"value":177},"PR #13645 — full E2E + unit migration to Pest.",{"title":7,"searchDepth":179,"depth":179,"links":180},2,[181,182,183,184,185],{"id":47,"depth":179,"text":50},{"id":58,"depth":179,"text":61},{"id":108,"depth":179,"text":111},{"id":137,"depth":179,"text":140},{"id":148,"depth":179,"text":151},"markdown","content:case-studies:qa-transformation.md","content","case-studies\u002Fqa-transformation.md","case-studies\u002Fqa-transformation","md",1788209838437]