docs(design): add messaging angles research and update Show HN draft#1102
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…1092) Research finding from cross-platform analysis (HN, Product Hunt, GitHub, Stack Overflow 2025 survey): - Candidate #4 "Agent Memory that Lives in GitHub" has strongest backing (Mem0 48K stars, 66% of devs cite context as #1 pain) - Candidate #1 "Codebase LLM Wiki" maps directly to Karpathy's April 2026 LLM Wiki gist (17M views, 5K stars, 4K forks) - "Context engineering" vocabulary activated by Karpathy June 2025 tweet, Gartner declared 2026 "year of context" Deliverables: - docs/design/messaging-angles-research.md: full ranked analysis with evidence - docs/design/show-hn-draft.md: updated with research-backed Option D/E titles and revised maker comment
General Security & Quality Scan — PR #1102Reviewer: General Security Agent (SEC) Diff ReviewPR changes 2 markdown documentation files in docs/design/. No executable code, no infrastructure configuration, no environment variables, no secrets, no SQL, no dependencies. messaging-angles-research.md
show-hn-draft.md
Security FindingsNo security findings. This PR contains only markdown documentation with no code, configuration, secrets, or infrastructure changes. Quality ObservationsThe research document properly cites sources with URLs and provides quantitative evidence for claims (GitHub stars, survey percentages, engagement metrics). Appropriate for internal strategic documentation. |
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APPROVED: commit b99fc74 after context-aware review (1 agent: General Security). 0 findings created as issues. Safe to merge. Domains: DOCS (documentation only) |
PR Review Summary: #1102 - docs(design): add messaging angles research and update Show HN draftReview IntegrityReviewed commit: Verdict: APPROVEDContext-Aware ReviewDomains: DOCS (documentation-only PR — 2 markdown files) | Agents: 1 (General Security) Integration Checks (Phase 2.5)Code registration: PASS — docs-only, no activation paths Risk Matrix
Findings
Automated Checks
RecommendationClean docs-only PR with well-researched content. Changes add strategic documentation (messaging research) and update an existing draft. No security concerns, no code changes, no infrastructure impact. Safe to merge. Context-aware review complete. 1 agent + integration checks. 0 findings triaged. PR merged. |
Graph Decision Record — Issue #1092 / PR #1102{
"schema_version": "1",
"issue": 1092,
"pr": 1102,
"repo": "RapierCraftStudios/ForgeDock",
"lane": "fast-lane",
"pr_base": "staging",
"branch": "feat/messaging-angles-research-1092",
"head_sha": "b99fc743307a2d0ec694b97037d4514cbdf04741",
"merge_commit": "833c337a07849e7a7ec296c5bd50175d32b6465f",
"investigation": {
"verdict": "CONFIRMED",
"confidence": "HIGH",
"task_type": "Investigation"
},
"context": {
"historical_edges_referenced": 0,
"forge_annotations_read": ["FORGE:INVESTIGATOR", "FORGE:FAST_PATH", "FORGE:BUILDER"]
},
"build": {
"files_changed": 2,
"quality_gate": "skipped",
"quality_gate_iterations": 0
},
"review": {
"verdict": "APPROVED",
"findings_created": 0,
"agents_run": 1
},
"merge": {
"merged_at": "2026-06-25T10:28:44Z",
"justification": "Investigation confirmed (CONFIRMED/HIGH), docs-only PR, security review approved, 0 findings"
}
}Queryable: |
Summary
Research deliverable for #1092: cross-platform analysis of which 'Codebase LLM Wiki' messaging angles get the most developer traction.
Key finding: Karpathy's LLM Wiki gist (April 2026) reached 17M views, 5K stars, 4K forks — the "LLM Wiki" / "Codebase Wiki for AI Agents" vocabulary has massive organic developer awareness. "Agent memory" framing dominates adoption metrics (Mem0 48K stars, Stack Overflow 2025: 66% cite context loss as #1 frustration).
Changes
docs/design/messaging-angles-research.md— New: full ranked analysis of 5 candidate positioning angles with evidence, engagement data, and recommended messaging stackdocs/design/show-hn-draft.md— Updated: added research-backed title options D/E, revised maker comment to use LLM Wiki/memory vocabularyRecommended Messaging Stack (from research)
Testing
Closes #1092
Implementation branch:
feat/messaging-angles-research-1092Base:
staging