Ergonomic Custom Linter and AST Rule Engine

C7/10June 14, 2026
WhatA developer-friendly platform for writing, sharing, and running custom static analysis rules across languages, with an intuitive rule authoring UX that hides AST complexity.
SignalDevelopers acknowledge that encoding invariants into linters and type systems is the right move, but universally complain that existing tools for writing custom rules (golangci-lint, semgrep) are painful and intimidating to use — everyone is waiting for the 'TypeScript moment' in this space.
Why NowAI-generated code is flooding codebases faster than humans can review, creating urgent need for automated custom rules, and LLMs can now help generate and explain AST patterns.
MarketEngineering teams at companies with 50+ developers writing custom coding standards; ~$3B SAST market growing 15%+ annually; Semgrep is closest but its rule language is a barrier, SonarQube is legacy.
MoatCommunity-contributed rule marketplace creates network effects — the more teams share rules, the more valuable the platform becomes, similar to how ESLint's plugin ecosystem locked in JavaScript.
Formal methods and the future of programming View discussion ↗ · Article ↗ · 308 pts · June 14, 2026

More ideas from June 14, 2026

One-Click Offline Website Cloning as a ServiceP5/10A managed platform that mirrors entire JavaScript-heavy websites into portable offline bundles for enterprise knowledge preservation, compliance archival, and field access.
Offline Documentation Bundles for Field WorkersC6/10A tool that packages company wikis, internal docs, and knowledge bases into portable offline-browsable archives for teams working in areas without connectivity.
Offline Reading Packs from News AggregatorsC5/10A consumer app that automatically downloads and packages the top articles from Hacker News, Reddit, or RSS feeds into an offline-readable bundle optimized for flights and train rides.
Realistic Physics Sandbox for Satisfying Manual TasksC5/10A platform of hyper-realistic physics simulations of satisfying manual labor activities (wood splitting, pottery, blacksmithing, etc.) designed as stress-relief and mindfulness tools.
AI Model Provenance and Integrity Verification PlatformP6/10A forensic analysis service that fingerprints open-weight AI models and automatically detects undisclosed merges, rebranding, or misattributed lineage.
Automated Open-Weight Model Merging and Optimization PlatformC6/10A platform that systematically explores merge strategies across compatible open-weight models, benchmarks the results, and surfaces the best-performing combinations for specific use cases.