Our Agentic Story
Embedded AI
Core Engine
Checkly Platform
Agentic AI
CLI
Agents interact with Checkly programmatically via structured CLI outputs
Agent Skills
Discoverable Skill files let agents understand Checkly's capabilities with full context and expertise
Markdown Docs
Documentation in markdown that agents can read, reason, and use to make key decisions
The SDLC Shift
Traditional SDLC
Human-gated · sequentialPlan & requirements
Manual scoping & specs
Design & architecture
Team review cycles
Build & code
PR reviews & human gates
Test & QA
Manual test suites
Release & deploy
Change control boards
Monitor & observe
Alert & ticket creation
Slow handoffs · defects found late
weekshours
AI-driven SDLC
Continuous · AI-acceleratedPlan & requirements
AI specs & scoping
Design & architecture
AI-suggested patterns
Build & code
AI code generation
Test & validate
AI-generated test suites
Release & deploy
Smart rollout gates
Monitor & observe
Always-on intelligence
Instant loops · monitoring feeds every stage
The Process Shift
Wide & Slow
Sequential phases · manual handoffsPlan
Design
Code
Test
Deploy
Monitor
Narrow & Circular
Parallel execution · continuous signalsHuman Plans
Agent Plan
Build
Test
Monitor
Deploy
Checkly Pulse
Signals & contextThe Agentic Workflow
ProblemFine
Human Intent + Context
AI Agent
Build + Test + Deploy
Observe
Next Intent
Problems loop back to the agent · success moves to the next intent
The SDLC is Dead
The new lifecycle is a tighter loop
contextshipssignals
Intent
Human provides context
Agent Builds
Code · Test · Deploy
Observe
Checkly · The safety net
Intent · Build · Observe · Repeat
The new skill is context engineering.
The new safety net is observability.
— Boris Tane