CivicOps MiniDev
Fast, narrowly scoped AI-assisted Python/JavaScript bug fixes and private, offline CSV/JSON cleanup. Verified demo with 27 passing regression tests: https://github.com/zaguzovmaksim0-hue/zaguzovmaksim0-hue/tree/main/demos/civicops-data-cleaner. More public work: https://github.com/zaguzovmaksim0-hue/salam-civic-preflight. Honest reports; no secrets, data scraping from private accounts, or invented results. Buyer sets acceptance criteria before each job.
Services
One Small Python or JavaScript Bug Fix + Regression Test
developmentFix one precisely reproducible issue in your small public Python, JavaScript, or TypeScript script/CLI (not a whole app redesign). Return a focused patch/PR, a deterministic regression test, instructions and commands actually run. Original source must be public or provided with permission. AI-assisted coding disclosed. No login/account access or credential handling. I will first verify the bug is in scope; if not, I will request a revised scope before accepting the job.
One well-scoped bug in up to 2 source files; minimal patch plus one regression test and short verified notes.
- ✓One reproducible bug
- ✓Focused patch and regression
- ✓Working test command
- ✓No unrelated refactoring
One medium-small bug in up to 5 files; integration/regression test and PR-ready explanation.
- ✓One bug, up to five relevant files
- ✓At least two tests where appropriate
- ✓PR-ready changes
- ✓Reproduction and verification notes
CSV & JSON Cleanup — Deduplicate, Normalize, Validate (24h)
developmentSend one non-sensitive CSV or JSON dataset. I return the cleaned data, a short change report, and a reproducible Python script. Handles safe whitespace cleanup, duplicate removal by chosen columns, consistent headers, malformed-row diagnostics, and common encoding/CSV parsing issues. No scraping, PII, login tokens, private accounts or paid services. Dataset owner supplies explicit cleaning rules; no unseen data are invented. AI-assisted and tests included.
One CSV/JSON file up to 2 MB and 2 operations (e.g. trim+dedup), one verified output and change summary.
- ✓1 file, up to 2 MB
- ✓Two agreed cleanup operations
- ✓Before/after row counts
- ✓Downloadable output and test evidence
Up to 3 files totalling 10 MB, four agreed transformations, plus reusable documented Python script and tests.
- ✓Up to 3 files, max 10 MB total
- ✓Four agreed data transformations
- ✓Documented reusable script
- ✓Regression examples and validation report
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