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feat(EXEC-DELIVERY-PROGRAM-WP-051) v1.0.0 — Executable Delivery Program 2026 (sprint WBS, RACI, OKRs, budget, hire plan, gate evidence)#87

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feat(EXEC-DELIVERY-PROGRAM-WP-051) v1.0.0 — Executable Delivery Program 2026 (sprint WBS, RACI, OKRs, budget, hire plan, gate evidence)#87
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@OneFineStarstuff OneFineStarstuff commented May 15, 2026

feat(EXEC-DELIVERY-PROGRAM-WP-051) v1.0.0 — Executable Delivery Program 2026

Overview

WP-051 operationalizes WP-050's Prioritized Implementation & Research Plan into a 26-sprint executable delivery program for FY2026 with phase gates G0..G4, RACI, OKRs, quarterly budget envelopes, hire plan, vendor/build decisions, and PMO controls across all 14 tracks.

What WP-051 adds on top of WP-050

Aspect WP-050 WP-051
Granularity Phases P0..P4 (30/90/180/365/1825 d) Sprints S1..S26 (2-week cadence, FY2026)
Work breakdown 56 work items across 14 tracks Sprint-level WBS (start/end sprint, FTE, deliverable)
Decision rights High-level RACI DACI + escalation tiers T1..T5
Budget Envelope % per track Quarterly £m commit/spent/variance
Hiring Talent shortage risk 72 hire reqs with diversity slate audits
Vendor Multi-vendor + fallback Per-capability vendor decision log (12 capabilities)
Gates 5 phase gates (P0..P4) G0..G4 with signed Merkle evidence packs
Cadence Quarterly OKRs Daily/weekly/biweekly/monthly/quarterly/annual rhythm
Critical path 17 CP items CP-01..CP-17 with gate, owner role, RACI binding

14 Modules

ID Title
M1 Program Overview, Phase Gates & Sprint Calendar (S1..S26)
M2 AI Safety Research WBS & Lab Operations
M3 Global Governance Policy WBS & Treaty Operations
M4 Enterprise AI Reference Architecture — Engineering WBS
M5 Governance Dashboards UI — Engineering WBS
M6 Security & DevSecOps WBS (Sigstore, OPA, Zero-Egress, WORM, PQC)
M7 RAG Program Governance WBS
M8 EAIP Protocol Design WBS
M9 CCaaS Summarization with PETs WBS
M10 Prompt Architect Features WBS
M11 Model Registry Engineering WBS
M12 Threat-Intel + Telemetry & Interpretability WBS
M13 AGI/ASI Governance Simulations WBS (SRASE, CSE-X, WG-01..06)
M14 Report-Generation Workflows + Cross-Cutting Critical Path

Structure

  • 70 sections across 14 modules
  • 12 schemas: sprint, wbsItem, raciRow, okr, budgetLine, hireReq, vendorDecision, gateEvidence, riskRow, kpiBinding, supervisorPack, rollbackPlan
  • 16 code examples covering gate evidence assembly, capacity planning, OKR rollup SQL, RACI loader, Gatekeeper Rego, Cosign webhook, EAIP envelope schema, Opacus DP, Kafka WORM, GitHub Actions, Mermaid Gantt, Annex IV binder, SRASE scorer, burn report, ATS export, kill-switch quorum
  • 24 KPIs (K-01..K-24), 12 risk-control rows (R-01..R-12), 12 regulators, 7 workshops, 6 data flows, 14 traceability rows
  • 5 phase gates G0..G4 with signed Merkle evidence packs
  • 17 critical-path items (CP-01..CP-17) bound to gates, owner roles, and RACI

Deliverables

  • gen-exec-delivery-program.py (1,234 lines) → data/exec-delivery-program.json (70.7 KB)
  • gen-exec-delivery-program-html.py (283 lines) → public/exec-delivery-program.html (75.2 KB)
  • server.js28 routes under /api/exec-delivery-program/* (incl. /m1../m14, /evidence-pack)

Validation

  • node -c server.jsSYNTAX OK (28 routes for new prefix)
  • PM2 rag-dash restart → dashboard reachable: GET /exec-delivery-program.htmlHTTP 200, 76,995 bytes
  • Endpoint validation: 45 × HTTP 200 positive + 7 × HTTP 404 negative = 52/52 passing, 0 failures

Standards & Frameworks Referenced

EU AI Act 2026 + Annex IV · NIST AI RMF · ISO/IEC 42001 · SR 11-7 · Basel III/IV · BCBS 239 · PRA SS1/23 · FCA Consumer Duty · SMCR · MAS FEAT · HKMA GL-90 · DORA · NIS2 · US EO 14110 · OECD AI Principles · GDPR · G7 Hiroshima/Bletchley/Seoul · CoE AI Convention · FSB · NIST FIPS 203/204 · FIPS 140-3 · SLSA L3+ · Sigstore · OPA · Gatekeeper · Kyverno

Git

  • Branch: genspark_ai_developer
  • Commit: a547a637
  • Files changed: 5 (4,062 insertions)
  • Rebased onto origin/main (b14a71da)

Summary by CodeRabbit

  • New Features
    • Introduced the Executable Delivery Program 2026—a comprehensive delivery framework spanning FY2026–FY2030 with 14 structured program modules.
    • Added an interactive dashboard displaying program overview, KPIs, risk & control matrix, regulatory mappings, data flows, rollout plans, and multi-year roadmap.
    • Exposed new API endpoints to access program data, modules, schemas, and supporting documentation.

Review Change Stack

…am 2026 (sprint-level WBS, RACI, OKRs, budget, hire plan, gate evidence)

Operationalizes WP-050's Prioritized Implementation & Research Plan into
a 26-sprint executable program for FY2026 with phase gates G0..G4, RACI,
OKRs, quarterly budget envelopes, hire plan, vendor/build decisions, and
PMO controls across 14 tracks.

Doc ref: EXEC-DELIVERY-PROGRAM-WP-051
Version: 1.0.0
Horizon: FY2026-FY2030 (sprint cadence FY2026)
API prefix: /api/exec-delivery-program

Modules (14):
  M1  — Program Overview, Phase Gates & Sprint Calendar (S1..S26)
  M2  — AI Safety Research WBS & Lab Operations
  M3  — Global Governance Policy WBS & Treaty Operations
  M4  — Enterprise AI Reference Architecture — Engineering WBS
  M5  — Governance Dashboards UI — Engineering WBS
  M6  — Security & DevSecOps WBS (Sigstore, OPA, Zero-Egress, WORM, PQC)
  M7  — RAG Program Governance WBS
  M8  — EAIP Protocol Design WBS
  M9  — CCaaS Summarization with PETs WBS
  M10 — Prompt Architect Features WBS
  M11 — Model Registry Engineering WBS
  M12 — Threat-Intel + Telemetry & Interpretability WBS
  M13 — AGI/ASI Governance Simulations WBS (SRASE, CSE-X, WG-01..06)
  M14 — Report-Generation Workflows + Cross-Cutting Critical Path

Structure:
  - 70 sections; 12 schemas; 16 code examples; 6 case studies
  - 24 KPIs; 12 risk-control rows; 12 regulators; 7 workshops
  - 6 data flows; 14 traceability rows; 3-phase 30/60/90; 5-year roadmap
  - 5 phase gates G0..G4 with signed Merkle evidence packs
  - 17 critical-path items (CP-01..CP-17) tied to gate ownership/RACI

Deliverables:
  - gen-exec-delivery-program.py (1234 lines) → data/exec-delivery-program.json (70.7 KB)
  - gen-exec-delivery-program-html.py (283 lines) → public/exec-delivery-program.html (75.2 KB)
  - server.js: 28 routes under /api/exec-delivery-program/* (incl. /m1../m14, /evidence-pack)

Validation:
  - node -c server.js → SYNTAX OK
  - PM2 rag-dash restart → HTTP 200, 76995 bytes served on /exec-delivery-program.html
  - Endpoint validation: 45 × HTTP 200 + 7 × HTTP 404 = 52/52 passing, 0 failures

Standards & frameworks referenced:
  EU AI Act 2026 + Annex IV · NIST AI RMF · ISO/IEC 42001 · SR 11-7 · Basel III/IV
  PRA/FCA/SMCR · MAS FEAT · HKMA GL-90 · DORA · NIS2 · US EO 14110 · OECD AI Principles
  GDPR · G7 Hiroshima/Bletchley/Seoul · CoE AI Convention · FSB · FIPS 203/204 · SLSA L3+

Builds on: WP-035..WP-050 (PR #85 WP-050 merged into main as b14a71d)
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The files' contents are under analysis for test generation.

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vercel Bot commented May 15, 2026

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Sorry @OneFineStarstuff, your pull request is larger than the review limit of 150000 diff characters

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coderabbitai Bot commented May 15, 2026

📝 Walkthrough

Walkthrough

This PR introduces the Executable Delivery Program 2026 (EDP) as a complete data-driven solution comprising four interconnected components: a large, structured JSON specification defining 14 sprint-level modules with governance workstreams, risk matrices, KPIs, and operational policies; a Python generator that procedurally builds this specification; an HTML renderer that transforms it into a styled, navigable dashboard; and Express API endpoints that expose the program for downstream consumption.

Changes

Executable Delivery Program Data & Service

Layer / File(s) Summary
Program Data Specification (JSON)
rag-agentic-dashboard/data/exec-delivery-program.json
Complete EDP 2026 JSON structure with 14 modules (M1–M14), governance/engineering WBS, 24 KPIs, risk/control matrices, traceability (feature→control→regime), data flows, regulator mappings, workshops, privacy/deployment policies, 90-day rollout and 2026–2030 roadmap, evidence-pack specification, and executive summary with count totals.
Python Generator Script
rag-agentic-dashboard/gen-exec-delivery-program.py
Procedurally constructs EDP JSON: defines module WBS hierarchies (M1–M14), schemas, 16 code examples (Python/SQL/Rego/TS/YAML/Mermaid), case studies, KPI targets, risk/control mappings, governance lists (regulators/workshops), privacy/deployment policies, rollout/roadmap milestones, evidence specifications, and computes final document counts before writing to disk.
HTML Dashboard Rendering
rag-agentic-dashboard/gen-exec-delivery-program-html.py, rag-agentic-dashboard/public/exec-delivery-program.html
HTML generator with recursive rendering helpers consumes EDP JSON and produces a styled, self-contained dashboard page featuring sticky navigation, executive summary, detailed module sections (M1–M14) with phase gates and WBS tables, supervisory KPIs, risk/control matrices, regulator/workshop listings, data-flow diagrams, traceability tables, schemas, embedded code examples, case studies, 30/60/90-day rollout checklist, 2026–2030 roadmap, evidence-pack contents, privacy/sovereignty guidance, and deployment considerations.
API Service Integration
rag-agentic-dashboard/server.js
Express server loads EDP JSON and registers 28 GET endpoints under /api/exec-delivery-program returning program metadata, module arrays (m1–m14 shortcuts), parameterized lookups (/modules/:id, /sections/:id, /schemas/:id, /code-examples/:id, /case-studies/:id), governance data (KPIs, risk matrices, regulators, workshops, data flows, traceability), privacy/deployment details, rollout/roadmap, evidence pack, and 404 JSON responses for missing items.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Possibly related PRs

  • OneFineStarstuff/OneFineStarstuff.github.io#85: Both PRs extend server.js with parallel "WP-*" program sections that load new JSON documents and expose similar module/schema/executive-summary routes (m1–m14, /modules/:id, /sections/:id, /evidence-pack) under different API prefixes.
  • OneFineStarstuff/OneFineStarstuff.github.io#83: Both PRs introduce generator-produced blueprint JSON/HTML dashboards and extend server.js with parallel Express API route sets (including module/section lookup handlers) under different /api/* prefixes.

Suggested reviewers

  • gstraccini

Poem

🐰 The program grows with fourteen sprints,
Each module a careful blueprint.
From Python scripts to HTML sheen,
APIs serve the whole machine!
Hops of code, a vision made clear—
The executive dashboard is here! 🎯

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title directly and specifically describes the main change: introducing WP-051, a v1.0.0 Executable Delivery Program for 2026 with detailed sprint WBS, RACI, OKRs, budget, and hire planning components.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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  • Commit unit tests in branch genspark_ai_developer

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rag-agentic-dashboard/server.js

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penify-dev Bot commented May 15, 2026

Failed to generate code suggestions for PR

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Not up to standards ⛔

🔴 Issues 1 critical · 2 medium · 49 minor

Alerts:
⚠ 52 issues (≤ 0 issues of at least minor severity)

Results:
52 new issues

Category Results
UnusedCode 1 medium
BestPractice 1 minor
Documentation 6 minor
ErrorProne 1 medium
CodeStyle 40 minor
Complexity 1 critical
1 minor
Comprehensibility 1 minor

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🟢 Metrics 15 complexity · 16 duplication

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Duplication 16

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Actionable comments posted: 4

🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Inline comments:
In `@rag-agentic-dashboard/gen-exec-delivery-program-html.py`:
- Line 70: Long f-string HTML lines (e.g., the table-row f-string using w and
esc in gen-exec-delivery-program-html.py) exceed line-length and trigger E501;
break each long f-string into multiple concatenated pieces or use a multiline
join so each line stays within the limit (apply to the row construction at the
shown line and the other indicated lines 74, 82, 90, 112, 114, 118, 119, 122,
129, 130, 151, 186); preserve use of esc(...) and the same order of fields (id,
audience, duration, outcome, etc.), e.g., build parts like row_start, cells =
(f"<td>{esc(w['id'])}</td>", ...), and then return ''.join([...]) or concatenate
adjacent string literals so formatting and escaping remain unchanged.
- Line 3: The import statement currently combines modules on one line ("import
json, html") and violates flake8/isort ordering; change to separate, sorted
imports (one per line) and ensure standard-library imports are grouped before
any third-party or local imports so the file uses "import json" and "import
html" on separate lines in the correct order.

In `@rag-agentic-dashboard/gen-exec-delivery-program.py`:
- Around line 156-161: Long string literals in the gate definitions (e.g., the
dict entries with keys "G0", "G1", "G2", "G3", "G4" and "exitArtifact") exceed
the project's line-length and cause flake8/black failures; break these long
literal strings into concatenated or implicit multi-part strings (or use
parentheses with implicit concatenation) so each source line conforms to the
line-length limit, and apply the same wrapping fix to other offending ranges
referenced in the comment (around lines 480, 783, 1005-1016, 1022-1044,
1065-1081, 1137-1141, 1146, 1161) ensuring no logic or key names (e.g.,
"G0"/"exitArtifact") are changed.
- Around line 19-83: The DOC constant is being inferred too narrowly and later
receives heterogeneous types; add an explicit type annotation to DOC as
dict[str, Any] and import Any from typing (i.e., add "from typing import Any"
near the top), then change the DOC declaration to include the annotation (DOC:
dict[str, Any] = {...}) so subsequent assignments to DOC (and nested keys
referenced later) satisfy mypy without changing runtime behavior.
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Fix all unresolved CodeRabbit comments on this PR:

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Review profile: CHILL

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Run ID: f22146da-a642-4bdf-bdca-bc5340e03126

📥 Commits

Reviewing files that changed from the base of the PR and between b14a71d and 033316f.

📒 Files selected for processing (5)
  • rag-agentic-dashboard/data/exec-delivery-program.json
  • rag-agentic-dashboard/gen-exec-delivery-program-html.py
  • rag-agentic-dashboard/gen-exec-delivery-program.py
  • rag-agentic-dashboard/public/exec-delivery-program.html
  • rag-agentic-dashboard/server.js

Comment thread rag-agentic-dashboard/gen-exec-delivery-program-html.py
Comment thread rag-agentic-dashboard/gen-exec-delivery-program-html.py
Comment thread rag-agentic-dashboard/gen-exec-delivery-program.py
Comment thread rag-agentic-dashboard/gen-exec-delivery-program.py
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Micro-Learning Topic: Improper Control of Resource Identifiers ('Resource Injection') (CWE 99)

Matched on "cwe99"

What is this? (2min video)

The software receives input from an upstream component, but it does not restrict or incorrectly restricts the input before it is used as an identifier for a resource that may be outside the intended sphere of control.

Try a challenge in Secure Code Warrior

@OneFineStarstuff OneFineStarstuff merged commit 0ecbfbe into main May 15, 2026
19 of 31 checks passed
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