AI Agents Adoption — Without the Chaos
We help IT teams integrate SWE AI Agents into their SDLC with structure, quality gates, and skills — not random prompting.
- PRD → ADR → TRD → C4 artifacts
- Works on 100k+ LOC repos
- Self-hosted & SecOps ready
The Reality
Why AI adoption
fails in most teams
Too many tools.
Zero adoption.
Teams spend weeks comparing Claude, Copilot, Cursor, Cline, Aider... and ship nothing.
The market has 50+ SWE agents. Analysis paralysis is real.
Chaotic process
Everyone prompts differently. Results drift, quality fluctuates, trust dies.
Speed ≠ Quality
Coding gets faster, review stays slow. Unverified code piles up.
The bottleneck isn't the AI. It's the lack of process.
The Framework
AI-SDLC
Framework
Not another tool comparison. A structured Software Development Lifecycle with AI Agents built in.
The Contract
No evidence = no merge. Every change leaves a trail.
Legacy-Friendly
Context engineering for 100k+ LOC repos.
Your Infrastructure
Cloud, gateway, on-prem, or hybrid.
Choose Your Format
From quick alignment to deep implementation
Lecture
- SWE agents landscape map
- AI Dev Lifecycle framework
- Default vs Secure stack guide
- Tool selection criteria
Workshop
- Hands-on pilot on your repo
- PLAN→VERIFY→EVIDENCE workflow
- Team templates & checklists
- Review rules & quality gates
Implementation
- Full adoption program
- Pilot → Rollout → Operate
- Security & compliance setup
- Ongoing support & metrics
How We Work
From first call to production adoption
Brief
Fill out 10 questions: goals, stack, constraints, security requirements
Discovery
30-min call to scope AI-ification and recommend the right format
AI-ification
Codebase scanning, agent setup, templates, and team onboarding
Operate
Human-in-the-loop reviews, retros, metrics, and continuous improvement
Common Questions
What teams ask before starting
Ready to adopt AI Agents — the right way?
Two paths to start. Pick what works for you.
No magic promises. Just process, evidence, and results.