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Agentic R&D & Implementation Blueprint

Dual-Course Synthesis (Nov 2025 → June 2026)
Domain Status: G1–G10 APPROVEDG1_HARNESS_APPROVED_v1 / G2_TOOL_REGISTRY_LOCKED_v1 / G3_CONTEXT_LAYER_LOCKED_v1 / G4_TOPOLOGY_APPROVED_v1 / G5_EVAL_FRAMEWORK_APPROVED_v1 / G6_VIBE_ENV_LOCKED_v1 / G7_IMPROVEMENT_BOUNDS_v1 / G8_MULTITENANT_APPROVED_v1 / G9_RESEARCH_FLEET_LOCKED_v1 / G10_PRODUCTION_DEPLOY_v1

A formally-specified Three-Harness Factory Model for autonomous agentic systems, synthesizing the Google AI Agents Whitepaper Series (WP-F1–F5, Nov 2025) and Google Vibe Coding / Agentic Engineering Series (WP-S1–S5, June 2026) into a single, auditable architectural constitution spanning 10 domains (G1–G10).

Agent  =  Model  +  Harness
Harness = Context ∪ Constraint ∪ Evaluation
Loop   =  Read → Write → Test → Observe → Fix

Architecture

The project's architectural constitution is triangulated across three binding artifacts:

Artifact Purpose
HARNESS_SPEC.md Deep architecture — Context/Constraint/Evaluation harness designs, L0–L4 taxonomy mapping, 18-rule constraint catalog, token budgets, traceability matrix
AGENTS.md Global runtime rules — model-routing matrix (Premium/Strong/Flash), HITL gate map (G1–G10), Think–Act–Observe trajectory, always-on static Instructions
specs/workflow_graph.yaml Machine-readable topology — 41 edges, 10 domain nodes, 3 harness nodes, decision overlays, validation invariants

Course-2 (WP-S) always supersedes Course-1 (WP-F) on overlap.**


Domain Landscape

Domain Focus Harness Emphasis Status
G1 Agent Foundations & Architecture 🏛️ All three APPROVED
G2 Tool Use & MCP Constraint, Context APPROVED
G3 Context Engineering / Sessions / Memory Context COMPLETED (context-v1.0.0)
G4 Multi-Agent Orchestration All three COMPLETED (orchestration-v1.0.0)
G5 Evaluation & Observability Evaluation COMPLETED (eval-v1.0.0)
G6 Vibe Coding → Spec Harness Constraint, Evaluation COMPLETED (vibecoding-v1.0.0)
G7 Self-Improvement (L4 gated) Evaluation, Constraint COMPLETED (self-improvement-v1.0.0)
G8 Multi-Tenant & Policy Constraint COMPLETED (multitenant-v1.0.0)
G9 Autonomous Research Loops Context, Evaluation COMPLETED (research-loop-v1.0.0)
G10 Production AgentOps All three COMPLETED (production-v1.0.0)

Each domain includes a 6-step delegation runbook (A–F), copy-pasteable Meta-Prompts, and a GIVEN/WHEN/THEN HITL gate.


Substrate & Runtime

Component Specification
OS WSL2 Ubuntu 24.04
Python 3.12 (.venv-hermes virtual environment)
Harness Runtime Hermes CLI + Antigravity unified harness
Skills Spec agentskills.io progressive disclosure (L1 → L2 → L3)
Model Tiers Premium Frontier · Strong Coding · Fast Flash (dynamic routing)

Execution routing: All shell/Python commands route exclusively through the WSL2 substrate:

wsl -d Ubuntu-24.04 bash -c "cd /home/carlospg/workspace/agentic-rd && source .venv-hermes/bin/activate && <command>"

Directory Layout

agentic-rd/
├── AGENTS.md                    # Global runtime constitution (always-on Instructions)
├── HARNESS_SPEC.md              # Architectural deep-spec (Context/Constraint/Eval)
├── specs/
│   ├── workflow_graph.yaml     # Machine-readable factory topology
│   ├── references/             # Immutable whitepaper corpus (WP-F1–F5, WP-S1–S5)
│   └── *.md                    # Domain blueprints (G2–G10)
├── skills/                     # Progressive disclosure skill library (agentskills.io)
├── .gherkin/                   # BDD acceptance scenarios (harness + domains)
├── tests/                      # Structural & functional test suites
├── logs/                       # Agent telemetry & evaluation logs
├── configs/                    # Harness configuration (hooks, policy, OTEL stubs)
├── examples/                   # Few-shot trajectories & golden patches
├── docs/                       # Supplementary documentation & ADRs
├── .gitignore
├── LICENSE                     # MIT
├── CONTRIBUTING.md
└── README.md                   # ← this file

Getting Started

Prerequisites

  • Windows 11 host with WSL2 enabled
  • Ubuntu 24.04 WSL2 distribution
  • Python 3.12 + project venv

Clone & Setup

git clone https://github.com/<your-org>/agentic-rd.git
cd agentic-rd
python3 -m venv .venv-hermes
source .venv-hermes/bin/activate
pip install -r requirements.txt  # when available

Running Domain Steps

Domain delegation is specified in specs/references/AGENTIC R&D & IMPLEMENTATION BLUE.md. Each domain's Meta-Prompt targets:

  • Step A → Premium Frontier (synthesis)
  • Step B → Fast Flash (discovery)
  • Step C → Strong Coding (decomposition)
  • Step D → Strong Coding (scaffold)
  • Step E → Strong Coding (tests)
  • Step F → Fast Flash (validation + commit)

Every strategic domain gate (G1–G10) surfaces a HARD_STOP decision matrix and requires a human resume token before continuing.


G1–G10 Operational Blueprint Status

Field G1 Foundations G2 Tools & MCP G3 Context & Memory G4 Multi-Agent G5 Eval & Observability G6 Vibe→Spec G7 Self-Improvement G8 Multi-Tenant G9 Research Loops G10 Production AgentOps
Status ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE ACTIVE
Resume Token G1_HARNESS_APPROVED_v1 G2_TOOL_REGISTRY_LOCKED_v1 G3_CONTEXT_LAYER_LOCKED_v1 G4_TOPOLOGY_APPROVED_v1 G5_EVAL_FRAMEWORK_APPROVED_v1 G6_VIBE_ENV_LOCKED_v1 G7_IMPROVEMENT_BOUNDS_v1 G8_MULTITENANT_APPROVED_v1 G9_RESEARCH_FLEET_LOCKED_v1 G10_PRODUCTION_DEPLOY_v1
Tag tool-registry-v1.0.0 context-v1.0.0 orchestration-v1.0.0 eval-v1.0.0 vibecoding-v1.0.0 self-improvement-v1.0.0 multitenant-v1.0.0 research-loop-v1.0.0 production-v1.0.0
Harness / Substrate Three-harness Factory + full audit trail Security Broker Proxy + NPM Pins + Loopback Boundary Dynamic Token Budget + Honcho Memory + Skills Co-Load Policy Hierarchical Coordinator + Agent Cards + Policy Seat (DECLARED) LLM-as-Judge + OTEL Trajectories + Trust Score + Circuit Breaker + 5%/15% Thresholds Vibe o Agentic Spectrum + SDD + Dune Policy + G5 Inheritance + Slash Command Routing Bounded Self-Improvement + 10 IT Types + DRAFT/DEBUG/IMPROVE + L4 Gated ISO-1/2/3 Isolation + SPIFFE SVID + Hybrid Policy Server + Per-Tenant R/B/G Gherkin BDD Hypotheses + DRAFT/DEBUG/IMPROVE + 7 HITL Gates + Fail-Closed Citation Verification Spec-driven CI/CD + Canary 1/5/25/100 + Live Policy + OTEL + Doctor + Auto-Rollback

References

  • WP-F1–F5: Introduction to Agents, Agent Tools & MCP, Context Engineering, Agent Quality, Prototype to Production (Nov 2025)
  • WP-S1–S5: The New SDLC with Vibe Coding, Agent Tools & Interoperability, Agent Skills, Agent Security & Evaluation, Spec-Driven Production Grade Development (June 2026)
  • Blueprint: specs/references/AGENTIC R&D & IMPLEMENTATION BLUE.md

License

MIT — see LICENSE


Generation is solved. Verification, judgment, and direction are the new craft. — WP-S1

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Agentic R&D & Implementation Blueprint — Three-Harness Factory Model (Context, Constraint, Evaluation) synthesizing Google AI Agents whitepapers (WP-F1-F5 & WP-S1-S5) into a G1-G10 architectural constitution.

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