KAP SDLC
For teams building or enhancing applications, KAP amplifies every phase of the SDLC with intelligent agents — from requirements through release.
AI does the drafting. Your team stays in control.
Each phase pairs a human owner with a KAP agent — the agent proposes and drafts, the human reviews and approves.
Requirements & Planning
Business Analyst
- Runs stakeholder meetings and uploads notes
- Sets project, epic, and constraints
- Validates stories & acceptance criteria
- Approves scope with stakeholders
KAP Agent
- Parses notes & drafts BRD
- Creates Confluence artifact and Jira stories
Design & Architecture
Technical Architect
- Evaluates AI-proposed patterns
- Governs technical standards
- Signs off on solution design
KAP Agent
- Proposes architecture patterns
- Generates diagrams & options
Development & Code Review
Developer
- Guides AI code generation
- Reviews inline suggestions
- Owns the final commit
KAP Agent
- Creates required branches
- Inline hygiene checks
- Generates and executes unit tests
- Reviews and raises PR
CI/CD & Testing
SQA Engineer
- Defines overall test strategy
- Validates AI-generated test cases
- Signs off on quality gates
KAP Agent
- Runs sanity tests
- SAST · DAST · accessibility scans
- AI test generation from story AC
Release & Retrospect
CI/CD Engineer
- Configures pipeline rules
- Approves deployment gates
- Monitors post-release health
KAP Agent
- Generates release notes
- Auto-monitoring & alert triage
How KAP agents work alongside developers.
Writing, reviewing, and improving code in real time — from story context to executed unit tests.
Story context ingestion
KAP reads the Jira story and Confluence BRD, builds a context window for the developer's session, and creates the repo branches in GitHub.
AI-assisted code generation
Generates boilerplate, service stubs, data models, and function signatures directly from acceptance criteria.
Inline hygiene checks
Flags naming issues, complexity spikes, dead code, and missing error handling as code is written — before the PR is raised.
Unit test cases
Reviews the diff, then creates and executes unit test cases against it.
Inline hygiene checklist
Full hygiene audit — naming, dead code, magic numbers
Cyclomatic complexity check
Parameterized configurations
Error handling audit
From approved PR to production.
Application code, database scripts, and config are promoted together as one versioned unit.
Test suite — each must pass before deploy to staging
SAST
Static security analysis, OWASP Top 10 scan, dependency CVE check.
DAST
Runtime attack simulation, auth & injection probes, config flaw detection.
Functional Tests
Unit, integration, and E2E — AI-generated from story AC, plus regression analysis.
DB Script Validation
Migration runs on test DB, rollback script verified, schema diff vs. baseline.
KAP agents in the pipeline
Failure explainer
explains build/test failures and suggests root-cause fixes, no stack trace archaeology.
Auto-PR description
generates PR descriptions, test summaries, and changelog entries from the diff.
DB change advisor
reviews migration scripts for destructive ops, missing rollbacks, and index impact before merge.
Release notes
assembles stakeholder-ready release notes from stories, code changes, and schema updates.
Compliance audit log
every gate, test result, script run, and AI recommendation is timestamped for audit.
See KAP SDLC on your codebase.
We'll walk through what a supervised, agent-accelerated sprint looks like for your team.