Leadership Overview

Agentic SDLC

A Slack-first delivery operating model where AI agents
help teams move work from idea to production

Clearer handoffs. Stronger governance. Measurable delivery flow.
Humans approve decisions. Agents do the repeatable work.

What This Is

A structured collaboration layer, not "AI replacing engineers"

Agentic SDLC is a governed, Slack-first delivery operating model where AI agents help teams move work from idea to production with clearer handoffs, stronger governance, and measurable delivery flow.

Agentic SDLC — end-to-end transformation view

Agents Do Repeatable Work

Requirements formatting, design checklists, test case authoring, coverage checks, status updates, and handoff preparation.

Humans Approve Key Decisions

Business scope, architecture, release gates, production deploys, and incident response stay under human control.

Every Stage Leaves a Trail

Auditable evidence in Slack Canvas, GUS, GitHub, and structured telemetry for process improvement.

The goal: reduce coordination drag, improve quality, and make delivery measurable end to end.

Agentic SDLC Flow

From idea to production — agents, gates, and evidence in one picture

Agentic SDLC end-to-end flow diagram with stages, agents, and gates

Agentic SDLC end-to-end flow — stages, agent ownership, human gates, and cross-cutting services

Requirements & UX

Design & Planning

Build, Verify & Review

Release & Operate

Stages

9

Discovery → Monitor

Human Gates

11

Approvals & incident gates

Cross-cutting

4

Slack • GUS • Salesforce • Judge

Evidence Surfaces

6+

Canvas • GUS • GitHub • telemetry

End-to-End Lifecycle

9 stages, 11 human gates, 4 cross-cutting services — MVP delivery status

1

📚

Discovery

BA Agent

✓ MVP

▶

2

🎨

UX Design

UX Agent

✓ MVP

▶

3

🛠

Architecture

Architect Agent

✓ MVP

▶

4

✍

Test Design

Builder Agent

✓ MVP

▶

5

💻

Implement

Builder Agent

✓ MVP

▶

6

✅

Verify

Builder Agent

✓ MVP

▶

7

🔍

Code Review

Reviewer Agent

✓ MVP

▶

8

🚀

Deploy

DevOps Agent

⚙ In Progress

▶

9

📈

Monitor

SRE Agent

⚙ In Progress

Requirements & UX

Design & Planning

Build, Verify & Review

Release & Operate

MVP Complete

In Progress

Human Approval Gates

🔒 G1 Requirement Sign-Off

🔒 G2 UX Approval

🔒 G3 Design approval

🔒 G4 Schema approval

🔒 G5 PR review

🔒 G8 QE Sign-off

🔒 G7 Prod approval

🔒 G8 Production sanity

🚨 G11 Incident Mitigation

🚨 G12 Incident Closure

🔒 G13 Postmortem / Release Retro

Cross-cutting

Slack Agent — collaboration & gates

GUS Agent — work management

Salesforce Agent — SF coordination

Judge Agent — quality sidecar

IDE

Claude Code • Cursor • Codex — developer environment & agent orchestrator

Skills

sdlc-core • gus • slack-workflow • process-telemetry • agentic-testing • ux-design • sf-apex • sf-lwc • fullstack-* • aws-cloud • qe-* • mermaid-diagrams

MCPs

GitHub • Slack • Salesforce • Confluence • SonarQube • Jenkins

Evidence

Slack Canvas • GUS • Project Canvas • Repo test catalog • PR reviews • .asdlc/ telemetry • docs/evidence

Design Principles

The choices that make this framework trustworthy at scale

Slack-First, Not Terminal-First

Humans see status, gates, blockers, and next actions in the collaboration channel. Leaders don't need IDE access.

Canvas as Project Memory

Channel scroll is not the source of truth. Canvas is the living project brief with current phase, decisions, and evidence.

Human Gates Remain Explicit

Agents do not silently proceed after approval. The completion card names who triggers the next stage and how.

Clear Role Boundaries

Architect designs. Tech Lead estimates. Builder implements and verifies. Reviewer reviews. Release Manager approves.

Durable, Sanitized Evidence

Local scratch files are not approval artifacts. Evidence lives in Canvas, GUS, GitHub, and structured telemetry.

Semantic Telemetry

Events describe the SDLC process, not raw logs or private data. Enables process mining without security risk.

Scoped Tool Access

Each agent uses only the MCP integrations needed for its role. No agent has blanket access to all systems.

Optional Skills by Scope

Agents load domain knowledge on demand. Simple work doesn't carry the weight of every Salesforce or AWS rule.

Judge Agent Evaluation core-suite • 2026-05-01

Automated contract, artifact, and governance evaluation across 9 in-scope agents

Score

82/100

Pass with risk

Cases

17/17

12 mandatory + 5 negative

Findings

0 / 0 / 5

critical / major / minor

Scope

9

agents (DevOps & SRE excluded)

Scoring Dimensions

Security & redaction

15 / 15

Gate / Canvas / telemetry

17.5 / 20

Artifact completeness

15 / 20

Routing & context

13.1 / 15

Agent contract & skills

13.1 / 15

Domain judgment

7.5 / 10

Collaboration clarity

3.8 / 5

Total: 82 / 100

5 Minor Findings

1

ORCH-TEL-001

Orchestrator

Only agent without a "You own:" telemetry block — events referenced in prose but break the pattern

2

DESIGN-SKILL-001

Architect

Required/optional skill split flattened into a single list in ARCHITECTURE.md and README.md

3

GUS-SKILL-001

GUS Agent

Requires Slack MCP and posts to Slack, but slack-workflow skill not listed

4

BUILDER-HND-001

Builder

No formal handoff payload field list, unlike Architect's 15-field enumeration

5

BUILDER-CRD-001

Builder

3 inline Slack templates instead of referencing completion card catalog IDs

Why not Pass (85+)?

Artifact completeness (weight 20) and domain judgment (weight 10) lost partial credit from the Builder handoff gap, card catalog disconnect, and GUS Agent's lighter contract. Orchestrator telemetry gap cost partial credit on gate/handoff/telemetry discipline.

Recommended Prioritization

1.

ORCH-TEL-001 + BUILDER-HND-001 — contract completeness for downstream agents

2.

BUILDER-CRD-001 — simple catalog reference fix

3.

GUS-SKILL-001 — decide if intentional or oversight

4.

DESIGN-SKILL-001 — documentation consistency

DEMO

Expected ROI & Business Impact

Quantifiable improvements across delivery speed, quality, and developer experience

Modeled on Agentic SDLC pilot telemetry and industry benchmarks for AI-assisted delivery

Speed

3–5x faster cycle time and 50% faster releases — from kickoff to production, with handoff waste removed.

Quality

90%+ automated coverage and 60% fewer prod issues — gates enforce quality, traceability runs from story to production.

Cost

Eliminate 30% context-switching, automate 70% of manual QA, and cut incident resolution by 40%.

The headline: the same team ships more features, with fewer defects, in half the time — and every gate, decision, and approval is captured for audit by default.

North Star Vision

Slack-Native SDLC Command Center

One channel. One Canvas. From idea to production.

A product owner, engineer, or leader collaborates in a single Slack channel. Claude Code orchestrates the right agents in a sandbox, agents update GUS, GitHub, Salesforce, and Canvas, and humans approve the gates that matter — with every action leaving sanitized, auditable evidence.

Slack-Native SDLC Command Center — Agentic SDLC north star

Agentic SDLC component architecture — the operating loop

💬 Slack as the Cockpit

Humans see, decide, and approve in the project channel and Canvas. No IDE access required to lead a release.

🤖 Claude Code as the Engine

Personas, skills, and MCPs are loaded on demand. The sandbox is where the work actually happens.

🔒 Gates That Stay Human

11 named approval gates across SDLC and incident paths. Agents pause; humans decide; completion cards name the next owner.

📊 Evidence by Default

Canvas, GUS, Project Canvas, PRs, and sanitized telemetry leave a durable trail for audit and process mining.

Governance

11 gates

Slack-first, human-approved

Quality

Continuous

Judge sidecar + L3 mocked runs

Scale

SF + Full-Stack

One operating model, many stacks

Process Mining and Continuous Improvement

The biggest strategic value is measurable SDLC improvement

What Telemetry Captures

Cycle time by stage	Flow
Gate wait time	Flow
Approval latency	Flow
Design rework rate	Quality
Defect injection rate	Quality
Test coverage by AC	Coverage
Deployment lead time	Delivery

Patterns Leadership Can See

Which gates are slow?
Identify approval bottlenecks
Which teams have high rework?
Target design or requirements improvement
Which features stall in verification?
Rebalance test strategy
Which artifact gaps cause defects?
Strengthen upstream checks

Real Telemetry

Apex Quote Migration • W-22251293

14

EVENTS

5

AGENTS

2

GATES OK

6

CANVAS UPD

6

TEST CASES

1

BLOCKER

FEATURE FLOW

Kickoff ▶ Canvas ▶ G1 ✓ ▶ Arch ▶ G3 ✓ ▶ SDD+TDD ▶ Test • 6 ▶ Review ▶ Impl • 5 files ▶ 🚨 npm-auth

KEY TAKEAWAYS

⚡ Gate latency: 1 min — no approval bottleneck

🔎 1 blocking issue caught in test review before code

🚨 npm-auth blocker surfaced at build, not deploy

🔒 All 14 events sanitized — no PII or secrets

One feature, 14 JSONL lines. Multiply across a sprint and you get cycle time, gate bottlenecks, blocker aging, and Canvas discipline — all from structured telemetry agents emit automatically.

Future Expansion

Good expansion paths once the foundation is proven

Slack-Triggered Remote Orchestration

Claude Code SDK sessions launched from Slack actions. Full remote execution with sandbox isolation.

Platform

Process Mining Dashboard

Visual analytics from .asdlc/telemetry. Cycle time, bottleneck detection, and flow efficiency metrics.

Analytics

Quality Scorecards

Per-feature, per-team, and per-release quality scores derived from telemetry, coverage, and defect data.

Quality

Automatic Bottleneck Detection

Proactive alerts when gate wait times, blocker aging, or rework rates exceed thresholds.

Operations

Better Canvas Automation

Structured handoff cards, richer Canvas sections, and deeper integration with Slack workflows.

Platform

Release Readiness Analytics

Automated readiness scoring based on coverage, test evidence, review status, and blocker state.

Quality

Policy-as-Code Gates

Security, PII, coverage, and deployment readiness checks enforced as programmable gate conditions.

Governance

Agent Maturity Model

Track agent adoption and effectiveness by team or portfolio. Identify where to invest in skill or workflow improvements.

Governance

With Gratitude

Contributions & Acknowledgments

Agents SDLC Foundational Framework

This framework owes a great deal to the leaders and peers who shaped it. I’m grateful for the trust, the candor, and the partnership behind every decision — and for the room to take an idea and turn it into a working operating model.

Leadership Guidance

Anish Joyson

Strategic Direction

Strategic direction and reviews that shaped the framework — guidance that turned an early idea into a coherent operating model.

Lead & Framework Author

Praveen Kumar Patha

Design · Architecture · Implementation

Design, architecture, implementation, and documentation of the Agentic SDLC framework.

With Thanks To

Rakesh Tigulla

Support · Review · Feedback

Support, review, and feedback that sharpened the details and kept the framework honest at every iteration.

Built together. Shipped together. Improved together.

— Agents SDLC Foundational Framework