Disclaimer by Speaker
• Views, thoughts, and opinions expressed in the session and presentation, collectively
referred to as "the content", belong solely to me in my personal capacity, and not
necessarily to my employer / organization / client, etc.
• "The content" is based on my learning, experience as well as knowledge gathered through
material available in the public domain.
• I do not endorse or promote any organization, committee, product or person through this
session.
• I have agreed to the Code of Conduct, Privacy Policy, Speaker Engagement Policy as
referenced in the Call for Proposal submitted by me or on my behalf on the Agile Pune
Conference website (www.agilepune.com).
Supriya Rao 14th
Nov 2025
PRACTICAL LESSONS
FROM BUILDING AN
AGENTIC-FIRST
DEVELOPER PLATFORM
FROM HYPE TO AN AUTONOMOUS ROUTE TO LIVE
Supriya Rao, MD India
ACT 1
THE LANDSCAPE
HYPE, REALITY, & THE
EVOLVING PLATFORM
MANDATE
AGENTIC AI IS SUDDENLY EVERYWHERE. HERE’S HOW COMPANIES ARE
EVALUATING AND USING THESE BUZZY TECH TOOLS
FORTUNE
THE NEXT “NEXT BIG THING”: AGENTIC AI’S OPPORTUNITIES AND RISKS
UC BERKELEY
“AGENTS ARE NOT ONLY GOING TO CHANGE HOW EVERYONE INTERACTS WITH COMPUTERS.
THEY’RE ALSO GOING TO UPEND THE SOFTWARE INDUSTRY, BRINGING ABOUT THE BIGGEST
REVOLUTION IN COMPUTING SINCE WE WENT FROM TYPING COMMANDS TO TAPPING ON ICONS.”
Bill Gates
THE THIRD WAVE OF AI IS HERE: WHY AGENTIC AI WILL TRANSFORM THE
WAY WE WORK
FORBES
AGENTIC AI: 4 REASONS WHY IT’S THE NEXT BIG THING IN AI RESEARCH
IBM
HYPE, REALITY, AND THE ENTERPRISE CHASM
...AND THE ENTERPRISE REALITY
THE EVOLVING MANDATE
POWERING A COLLABORATIVE ECOSYSTEM
DEVELOPER
PLATFORM
SELF
SERVICE
PLATFORM
APIS
DATA INTEGRATION TRUST
THE GAPS ARE
BARRIERS TO COLLABORATION
ACT 2
THE MINDSET
& THE COMPASS
FINDING YOUR FIRST COLLABORATIVE USE CASE
PATH 2
THE STRATEGIC CHOICE
ONE-OFF TOOLS VS. A FOUNDRY MINDSET
ONE OFF
TOOLS
A FOUNDRY MINDSET FOUNDRY
PLATFORM
PATH 1
INTRODUCING THE DIGITAL FOUNDRY
& ITS PRIMITIVES
MODEL
GARDEN
AGENT
FRAMEWORK
RUNTIME
AND SERVICE
LAYER
OBSERVABILITY
SUITE
GENERATING TEST
SCAFFOLDING
(5)
PLOTTING YOUR ROUTE
ENGINEERING USE CASES
TECHNICAL FEASIBILITY
AUTO FILL PR
DESCRIPTIONS
FROM GIT DIFF
(2)
AUTONOMOUSLY FIXING
NOVEL SECURITY
VULNERABILITIES
(?)
SHIFT LEFT ANALYSER (4)
SUMMARISING INCIDENT
POST-MORTEMS
(6+)
ENRICHING THE PR
PROCESS (2)
GOLDILOCKS ZONE
ENGINEERING
VALUE
NEW API
PLACEHOLDER
ANALYSER
(5)
TEST FAILURE EXPLAINER
(2)
SECURITY THREAD MODELLING
(?)
Internal SDK USAGE AND
DEPRECATION
(3)
RESEARCH AND TECH RADAR
(3)
TECH DEBT
TAGGER
(5)
BACKLOG
ASSISTANT
(3)
# = tool count
INTEGRATION COMPLEXITY
DISTINCT SYSTEMS,
DATA SOURCES, APIS
ACT 3
THE EVOLUTION OF A
USE CASE
THE PR AGENT
THE PR AGENT (V1.5)
DEEPER CODE ANALYSIS
PR ENRICHMENT
AGENT
GITHUB
REPO
V2 GITHUB
CONNECTOR
V1 MODEL
GARDEN
V2 AGENT
FRAMEWORK
PRIMITIVES
COMPLEX MULTI-TURN
ITERATION ON THE
CODEBASE
THE PR AGENT (V2)
IS NOW JIRA-AWARE
PR ENRICHMENT
AGENT
V2 GITHUB
CONNECTOR
V1 MODEL
GARDEN
V2 AGENT
FRAMEWORK
V1 JIRA
CONNECTOR
GITHUB
REPO
JIRA
PRIMITIVES
ACT 4
PREPARING
THE GROUND
THE ENTERPRISE
READINESS
CHECKLIST
1. HOW DO OUR AGENTS SAFELY
ACCESS SYSTEMS?
2. HOW DO WE CONTROL OUR DATA
AND MODELS?
3. WHERE DO THESE AGENTS
ACTUALLY RUN?
THE THREE ENTERPRISE
QUESTIONS WE MUST ANSWER
BLOCKER 1
SYSTEM ACCESS
THE API GATEWAY
PROBLEM
AGENTS ARE USELESS IF THEY CAN'T INTERACT WITH OUR ENTERPRISE
SYSTEMS.
SOLUTION
We mandate an API-First culture and create agent-specific service accounts with
least-privilege access. Our APIs are the standardised, safe docking ports on the
foundry's assembly line.
BLOCKER 2
DATA & MODEL GOVERNANCE
THE PRIVATE FURNACE
PROBLEM
WHERE IS OUR PROPRIETARY DATA GOING?
SOLUTION:
We use Enterprise Model Gardens (Vertex AI, Bedrock, etc.) to keep data private.
This is our private, certified furnace, and we build our own Access Control Layer on
top to act as its control panel.
BLOCKER 3
THE DEPLOYMENT ENVIRONMENT
THE CLEAN ROOM
PROBLEM
WHERE DOES AN AGENT LIVE AND RUN?
SOLUTION
We treat agent hosting as a first-class platform product, deploying agents into
Insulated, Sandboxed Runtimes—the foundry's 'clean room'. This secure, monitored
environment, managed by a dedicated platform team, ensures both safety and
velocity, enabling our platform to grow organically.
ACT 5
SCALING THE
FOUNDRY
THE FLYWHEEL
EFFECT
THE FLYWHEEL EFFECT
OUR NEXT USE CASE IS NOW EASIER
INCIDENT
RESPONSE AGENT
V3 GITHUB
CONNECTOR
V2 MODEL
GARDEN
V3 AGENT
FRAMEWORK
V2 JIRA
CONNECTOR
SANDBOX
V1 AGENT
RUNTIME
GITHUB
REPO
JIRA SANDBOX
PRIMITIVES
CONNECT WITH US
LINKEDIN.COM/IN/SUPRIYA-Y-RAO/
supriya.rao@clearroute.io
https://clearroute.io

Agile Pune 14-15 Nov 2025 | From Pilot to Platform: How Agentic AI Transforms Platform Engineering by Supriya Rao

  • 1.
    Disclaimer by Speaker •Views, thoughts, and opinions expressed in the session and presentation, collectively referred to as "the content", belong solely to me in my personal capacity, and not necessarily to my employer / organization / client, etc. • "The content" is based on my learning, experience as well as knowledge gathered through material available in the public domain. • I do not endorse or promote any organization, committee, product or person through this session. • I have agreed to the Code of Conduct, Privacy Policy, Speaker Engagement Policy as referenced in the Call for Proposal submitted by me or on my behalf on the Agile Pune Conference website (www.agilepune.com). Supriya Rao 14th Nov 2025
  • 2.
    PRACTICAL LESSONS FROM BUILDINGAN AGENTIC-FIRST DEVELOPER PLATFORM FROM HYPE TO AN AUTONOMOUS ROUTE TO LIVE Supriya Rao, MD India
  • 3.
    ACT 1 THE LANDSCAPE HYPE,REALITY, & THE EVOLVING PLATFORM MANDATE
  • 4.
    AGENTIC AI ISSUDDENLY EVERYWHERE. HERE’S HOW COMPANIES ARE EVALUATING AND USING THESE BUZZY TECH TOOLS FORTUNE THE NEXT “NEXT BIG THING”: AGENTIC AI’S OPPORTUNITIES AND RISKS UC BERKELEY “AGENTS ARE NOT ONLY GOING TO CHANGE HOW EVERYONE INTERACTS WITH COMPUTERS. THEY’RE ALSO GOING TO UPEND THE SOFTWARE INDUSTRY, BRINGING ABOUT THE BIGGEST REVOLUTION IN COMPUTING SINCE WE WENT FROM TYPING COMMANDS TO TAPPING ON ICONS.” Bill Gates THE THIRD WAVE OF AI IS HERE: WHY AGENTIC AI WILL TRANSFORM THE WAY WE WORK FORBES AGENTIC AI: 4 REASONS WHY IT’S THE NEXT BIG THING IN AI RESEARCH IBM HYPE, REALITY, AND THE ENTERPRISE CHASM
  • 5.
  • 6.
    THE EVOLVING MANDATE POWERINGA COLLABORATIVE ECOSYSTEM DEVELOPER PLATFORM SELF SERVICE PLATFORM APIS
  • 7.
    DATA INTEGRATION TRUST THEGAPS ARE BARRIERS TO COLLABORATION
  • 8.
    ACT 2 THE MINDSET &THE COMPASS FINDING YOUR FIRST COLLABORATIVE USE CASE
  • 9.
    PATH 2 THE STRATEGICCHOICE ONE-OFF TOOLS VS. A FOUNDRY MINDSET ONE OFF TOOLS A FOUNDRY MINDSET FOUNDRY PLATFORM PATH 1
  • 10.
    INTRODUCING THE DIGITALFOUNDRY & ITS PRIMITIVES MODEL GARDEN AGENT FRAMEWORK RUNTIME AND SERVICE LAYER OBSERVABILITY SUITE
  • 11.
    GENERATING TEST SCAFFOLDING (5) PLOTTING YOURROUTE ENGINEERING USE CASES TECHNICAL FEASIBILITY AUTO FILL PR DESCRIPTIONS FROM GIT DIFF (2) AUTONOMOUSLY FIXING NOVEL SECURITY VULNERABILITIES (?) SHIFT LEFT ANALYSER (4) SUMMARISING INCIDENT POST-MORTEMS (6+) ENRICHING THE PR PROCESS (2) GOLDILOCKS ZONE ENGINEERING VALUE NEW API PLACEHOLDER ANALYSER (5) TEST FAILURE EXPLAINER (2) SECURITY THREAD MODELLING (?) Internal SDK USAGE AND DEPRECATION (3) RESEARCH AND TECH RADAR (3) TECH DEBT TAGGER (5) BACKLOG ASSISTANT (3) # = tool count INTEGRATION COMPLEXITY DISTINCT SYSTEMS, DATA SOURCES, APIS
  • 12.
    ACT 3 THE EVOLUTIONOF A USE CASE THE PR AGENT
  • 13.
    THE PR AGENT(V1.5) DEEPER CODE ANALYSIS PR ENRICHMENT AGENT GITHUB REPO V2 GITHUB CONNECTOR V1 MODEL GARDEN V2 AGENT FRAMEWORK PRIMITIVES COMPLEX MULTI-TURN ITERATION ON THE CODEBASE
  • 14.
    THE PR AGENT(V2) IS NOW JIRA-AWARE PR ENRICHMENT AGENT V2 GITHUB CONNECTOR V1 MODEL GARDEN V2 AGENT FRAMEWORK V1 JIRA CONNECTOR GITHUB REPO JIRA PRIMITIVES
  • 15.
    ACT 4 PREPARING THE GROUND THEENTERPRISE READINESS CHECKLIST
  • 16.
    1. HOW DOOUR AGENTS SAFELY ACCESS SYSTEMS? 2. HOW DO WE CONTROL OUR DATA AND MODELS? 3. WHERE DO THESE AGENTS ACTUALLY RUN? THE THREE ENTERPRISE QUESTIONS WE MUST ANSWER
  • 17.
    BLOCKER 1 SYSTEM ACCESS THEAPI GATEWAY PROBLEM AGENTS ARE USELESS IF THEY CAN'T INTERACT WITH OUR ENTERPRISE SYSTEMS. SOLUTION We mandate an API-First culture and create agent-specific service accounts with least-privilege access. Our APIs are the standardised, safe docking ports on the foundry's assembly line.
  • 18.
    BLOCKER 2 DATA &MODEL GOVERNANCE THE PRIVATE FURNACE PROBLEM WHERE IS OUR PROPRIETARY DATA GOING? SOLUTION: We use Enterprise Model Gardens (Vertex AI, Bedrock, etc.) to keep data private. This is our private, certified furnace, and we build our own Access Control Layer on top to act as its control panel.
  • 19.
    BLOCKER 3 THE DEPLOYMENTENVIRONMENT THE CLEAN ROOM PROBLEM WHERE DOES AN AGENT LIVE AND RUN? SOLUTION We treat agent hosting as a first-class platform product, deploying agents into Insulated, Sandboxed Runtimes—the foundry's 'clean room'. This secure, monitored environment, managed by a dedicated platform team, ensures both safety and velocity, enabling our platform to grow organically.
  • 20.
  • 21.
    THE FLYWHEEL EFFECT OURNEXT USE CASE IS NOW EASIER INCIDENT RESPONSE AGENT V3 GITHUB CONNECTOR V2 MODEL GARDEN V3 AGENT FRAMEWORK V2 JIRA CONNECTOR SANDBOX V1 AGENT RUNTIME GITHUB REPO JIRA SANDBOX PRIMITIVES
  • 22.