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docs: update README and SHOWCASE for kOREInference + core/outlier analysis
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Move MCP server to top of README — it's the primary interface
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Restructure: MCP Server first (with agent workflow example), then
Why grammar inference / showcases, then Quick Start, then details.
This matches how users actually interact with the project: via MCP tools.
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Remove bugs section (implementation bugs, not paper bugs), remove Docker Compose (private data), add Portainer templates, fix geerlingguy claim precision
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Blog post: remove 'The bugs we found' section (all 4 bugs were from our implementation, not the paper algorithms). Replace company data references in MCP section with Galaxy example. Update ensemble dynamics table with public datasets.
README: replace Docker Compose with Portainer templates in 'Why grammar inference?' table, Real-world Results, and Domain Adapters.
SHOWCASE: replace Docker Compose with Portainer templates.
All claims verified: no public documentation of geerlingguy module ordering convention exists.
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Update README and SHOWCASE with real-world dataset evaluations
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README:
- Replace outdated company benchmarks with public showcases
- Add Algorithm Selection Guide
- Add 'When each algorithm wins' table
- Add 'Why grammar inference?' table with value prop for LLMs
- Add 'What doesn't work' section documenting failed approaches
- Update all domain adapter examples with public results
- Clean up outdated references (companyweb roles, hashistack terraform)
SHOWCASE:
- Add Helm (kube-prometheus-stack) with iDRegEx minimal core
- Add Docker Compose per-project patterns
- Add GitHub Actions cross-project Go lint pattern
- Add Terraform modules with vocabulary analysis
- Add 'What doesn't work' section
- Explain WHY each dataset helps an LLM
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Grammar inference engine: CRX + iDRegEx ensemble with MDL scoring, MCP server, showcase, and blog post
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- Ensemble inference (infer_ensemble) runs both CRX and iDRegEx, picks best by MDL
- CRX: CRX algorithm for wide coverage (accepts all sequences, large vocabulary)
- iDRegEx: iDRegEx for minimal core grammar (tightest common pattern)
- MDL scoring: fixed model_cost to count alphabet symbol occurrences, fixed dispatch order in _count_words_fast
- Fixed _match_tokens: rewritten as _match_possible with proper backtracking
- Fixed _parse_parts disjunction: children use _parse_flat_symbol to avoid dot-splitting
- MCP server: infer_best_grammar and infer_grammar tools
- Added prefer parameter (crx/idregex) to skip ensemble
- 28 passing tests
- SHOWCASE.md with Geerlingguy Galaxy demonstration
- blog_post.md with full technical deep-dive
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Initial commit: BEX-based grammar inference engine
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- CRX: direct CHARE inference (Algorithm 7, TODS 2010)
- iDRegEx: k-ORE inference (Algorithm 4, arXiv 2010)
- RWR₀: SORE repair (Algorithm 6, TODS 2010)
- rwr²: k-ORE extraction (Algorithm 3, arXiv 2010)
- SOA, k-OA, iKoa, 2T-INF, Baum-Welch
- Ansible role grammar adapter
- Generic YAML key-path converter
- 28 tests, all passing
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