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AI-native Engineering Platform

DevAgents OS

The agentic layer for the software engineering lifecycle

AgentsFlowMetricsGovernanceContextSecurity
∞ DevAgents OS - AI-native Engineering Platform01 / 12
AI-native Engineering Platform

DevAgents OS

The agentic layer for the software engineering lifecycle

AgentsFlowMetricsGovernanceContextSecurity
∞ DevAgents OS - AI-native Engineering Platform01 / 12
DevAgents OSDevAgents OS

The challenge: accelerate without losing quality, security, and governance

Our Mission

To amplify engineering teams' capability through coordinated AI agent workflows across the SDLC. Shared context, traceable artifacts, stage-level metrics, governance, and technical accountability.

DevAgents OS connects agents, tools, context, and metrics to support engineering teams from discovery through operations. Governance is built in at every stage.

Founder
Cristiano Ferreira
Founder · PULSEFLOW TECNOLOGIA LTDA

30 years in technology, software engineering, systems architecture, cloud infrastructure, DevOps, and applied AI in real enterprise development environments.

contact@devagents-os.comdevagents-os.com
Our Approach
  • Specialized agents per SDLC stage
  • Context preserved across tools and decisions
  • Traceability from requirements to code and tests
  • Stage metrics with measurable impact
  • Technical and operational governance
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DevAgents OSDevAgents OS

The challenge

Delivering software faster with quality, security and governance

Traditional delivery
  • Fragmented tools
  • Manual documentation
  • Slow requirements
  • Rework
  • Weak traceability
  • Delayed metrics
Agentic engineering
  • Connected agents
  • Assisted workflows
  • Automated documentation
  • Continuous validation
  • Engineering metrics
  • Governance layer
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DevAgents OSDevAgents OS

From isolated copilots

to orchestrated engineering agents

Maturity evolution
Stage 1
Individual Copilots
Isolated assistants around the developer
Stage 2
Connected Workflows
Tools and lifecycle stages connected
Stage 3
Agentic Engineering Layer
Specialized agents coordinated by orchestration
REQARCHCODEQASECDEVOBS
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DevAgents OSDevAgents OS

Agentic SDLC flow

Discovery → Architecture → Dev → Quality → Security → Delivery → Operations → Metrics

Discovery
Architecture
Development
Quality
Security
Delivery
Operations
Metrics
Agentic Orchestration Layer
Requirement
Architecture
Code
Quality
Security
DevOps
Observability
Metrics
Legacy
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DevAgents OSDevAgents OS

Specialized agents

Requirements, architecture, code, quality, security, DevOps, observability, metrics and legacy modernization

Requirement Agent
Storiesepicscriteria
Architecture Agent
ComponentsC4rules
Code Agent
Codereviewdocs
Quality Agent
TestsGherkinevidence
Security Agent
SASTDASTrisks
DevOps Agent
CI/CDdeployreleases
Observability Agent
Logsmetricsroot cause
Metrics Agent
Lead timecycle timethroughput
Legacy Modernization Agent
Legacyrulesnew code
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DevAgents OSDevAgents OS

Management and governance layer

Strategic, coordination and operational

Strategic Layer
OKRsObjectivesInvestmentRisk
Coordination Layer
TeamsCapacityDependenciesPredictability
Operational Layer
FlowQualityTestsDeploymentsIncidents
Lead time
4.2d -18%
Throughput
126 +12%
Coverage
82% +6%
Vulnerab.
3 -40%
Throughputlast 12 weeks
Flow
Quality
Risk
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DevAgents OSDevAgents OS

Continuous improvement framework

Discover, Plan, Activate Agent, Measure Impact, Prioritize

12345LOOPContinuous loop
01Discover
Map process and bottlenecks
02Plan
Define metrics and baseline
03Activate Agent
Connect context and execute
04Measure Impact
Compare before and after
05Prioritize
Next opportunity
Continuous loop
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DevAgents OSDevAgents OS

Legacy Modernization

The problem goes beyond code - it's in the hidden business rules

The risk of modernization lies not just in rewriting code. It lies in losing business logic hidden inside aging systems.

Legacy modernization becomes safer with AI-native workflows: understanding legacy code, structural fragmentation, business rules extraction, modern code generation, and functional equivalence validation. All under agent orchestration, with technical validation at critical points.

Before
  • Aging codebase, hard to maintain
  • Low documentation of business rules
  • Dependency on legacy specialists
  • High risk of regression with every change
After
  • Business rules extracted and documented
  • Modern code generated, validated, and traceable
  • Automated tests with end-to-end traceability
  • Technical validation at every critical modernization stage
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DevAgents OSDevAgents OS

The modernization process

Five stages with specialized agents

Traceability bridge - rules ↔ code ↔ tests
Legacy code
Fragmentation
Business rules
New code
Functional validation
01
Legacy Codebase
Legacy code from systems with high complexity and accumulated technical debt, ingested as the starting point.
02
Structural Fragmentation
The codebase is segmented into analyzable units so business rules and dependencies can be extracted without losing structural context.
03
Business Rules Extraction
Existing business rules are identified, extracted, and documented in structured, traceable form.
04
Agentic Code Generation
Modern code is generated by specialized agents, preserving the extracted business logic and maintaining traceability.
05
Functional Validation
Technical and functional validation confirms equivalence between the original behavior and the modernized output. Tests, traceability, and accountable modernization decisions are applied at every stage.
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DevAgents OSDevAgents OS

Tool ecosystem and integrations

Connects to the enterprise stack

AI Models
Development Copilots
Repositories
CI/CD
Observability
Security
QA Automation
Design & Architecture
Project Management
Documentation
Knowledge Bases
core
DevAgents OS
Examples
GitHub CopilotCursorWindsurfAzure DevOpsJiraSonarQubeJenkinsGrafanaDynatraceFigmaC4 ModelStructurizrSeleniumOWASP ZAPConfluenceBackstage
Illustrative examples. Tools may vary according to the enterprise environment.
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What we believe

Start with one workflow. Expand with evidence.

AI agents amplify team capability when connected to the real process: context, flow, metrics, security, and governance.

Augmented engineering. Data-driven decisions. Continuous delivery.

ContextProcessMetricsSecurityGovernanceTraceability
contact@devagents-os.com·devagents-os.com
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