{"items":[{"id":"a575075e-e2c3-4ddf-b0d1-a18ac7257536","type":"push","org":"njain006","repo":"costly-oss","title":"Configured CI to treat frontend status as advisory and hardened secret scanning","summary":"Updated the CI workflow to mark frontend unit and E2E tests as `continue-on-error: true`, allowing for smoother development while ensuring builds remain stable. Additionally, the secret scanning regex was tightened to more accurately detect potential plaintext credential leaks in tracked files. These changes prioritize visibility without blocking pipelines while tests are being stabilized. ![Tests passing](https://enxegfybrygakxrhnabg.supabase.co/storage/v1/object/public/meme-images/c1b2afe1-ff84-4262-a5a0-0ce2303ca9df.png)","url":"https://nomit.dev/njain006/costly-oss/status/6d4ad5ed1b20ebe9dae7b5a14c105cb27a7ef65b6c30fd9cbe56a47a1211308c","author":"njain006","contributors":["njain006"],"updated_at":"2026-04-26T22:59:39+00:00"},{"id":"6416c9e3-8173-420c-90ee-26d0263d0278","type":"push","org":"njain006","repo":"costly-oss","title":"CI updates: Improved secret scanning and Fernet key configuration","summary":"Updated the CI workflow to use a valid Fernet key for encryption and refined the `no-secrets` job to ignore AWS example documentation keys and test-fixture directories. This reduces false positives in secret detection while ensuring robust test configurations.","url":"https://nomit.dev/njain006/costly-oss/status/9463368c9188617ce9cf72f1548433008540098d4234ac4182b8b398529dea73","author":"njain006","contributors":["njain006"],"updated_at":"2026-04-26T22:49:30+00:00"},{"id":"694b32f5-7beb-4919-91f2-ba8076aedc4a","type":"push","org":"njain006","repo":"costly-oss","title":"Massive CI and testing infrastructure overhaul","summary":"We've implemented a comprehensive testing and CI strategy, including a 7-job parallel CI pipeline architecture, a new end-to-end Playwright suite with accessibility auditing, and a robust backend contract testing framework using Hypothesis and Schemathesis. Frontend testing has also been leveled up with the introduction of Vitest, React Testing Library, and MSW for component-level verification. These changes significantly improve verification speed, reliability, and code coverage across the entire stack. ![TEST ALL THE THINGS!!!](https://enxegfybrygakxrhnabg.supabase.co/storage/v1/object/public/meme-images/f782f343-c1e5-41fd-94b4-63e860acf3e0.jpg)","url":"https://nomit.dev/njain006/costly-oss/status/df3facad41ed599519b4ca619111c5840e2bd61a7dd1359b8b934eb5e619a8a8","author":"njain006","contributors":["njain006"],"updated_at":"2026-04-26T22:41:34+00:00"},{"id":"afc26e1a-efbd-4459-85da-8edb21819470","type":"push","org":"njain006","repo":"costly-oss","title":"Major feature sync brings 18 total platforms, unified error handling, and anomaly tracking","summary":"This massive update syncs our public repository with production, expanding our platform support to 18 connectors, including new ones for Redshift and Claude Code. We've introduced a robust unified error taxonomy and resilient retry logic for backend stability, alongside a polished new Anomalies dashboard for better cost visibility. Testing has been substantially scaled up, now exceeding 900 passing tests to match the increased complexity. ![huge update](https://enxegfybrygakxrhnabg.supabase.co/storage/v1/object/public/meme-images/1af6d568-4500-4a0c-ad43-69d341c6ddde.jpg)","url":"https://nomit.dev/njain006/costly-oss/status/4d20fe5412056e24a16212473771f6f47ac7ab192b11033296982fab38c62611","author":"njain006","contributors":["njain006"],"updated_at":"2026-04-26T21:59:26+00:00"},{"id":"f2ed51d6-084f-4e16-b4f5-a887d77fd3f7","type":"push","org":"njain006","repo":"costly-oss","title":"Massive AI cost tracking overhaul and new Claude Code support","summary":"This release is a major architectural upgrade that shifts our focus to comprehensive AI and data-driven cost analysis. We’ve overhauled six primary connectors (Anthropic, OpenAI, Gemini, Snowflake, Databricks, and BigQuery) with significantly improved pricing accuracy and added support for Claude Code JSONL parsing. The AI Spend dashboard now surfaces advanced KPIs like cache hit rates and tiered token distribution, supported by an extensive new set of technical documentation and over 480 new tests to ensure precision. ![Big plans for some code](https://enxegfybrygakxrhnabg.supabase.co/storage/v1/object/public/meme-images/f6879923-b1a4-45d2-b213-d924969db837.jpg)","url":"https://nomit.dev/njain006/costly-oss/status/e705bb8a1f465cfa5a9d199a338dc09365fde877f7b84957bf0b2581071763a1","author":"njain006","contributors":["njain006"],"updated_at":"2026-04-24T15:39:56+00:00"}],"pagination":{"offset":0,"limit":5,"has_more":true}}