AI for SDLC
Turn business intent into traceable, reviewed, working software.
An AI-driven software development lifecycle: plan, build, verify, and ship with specialized agents — and keep humans in control of every decision. Powered by our HAL-SDLC platform.
The problem
Code assistants speed up typing. They don't speed up delivery.
Teams adopting AI coding tools see faster snippets but the same bottlenecks: unclear requirements, unreviewed output, inconsistent standards, and no record of why something was built. The result is more code with less confidence.
Our approach
Lifecycle first, code second
- 01
Structured planning
Business intent becomes a plan with acceptance criteria, architecture notes, and a dependency graph — reviewable before any code exists.
- 02
Orchestrated build
Specialized agents implement in parallel by phase, grounded in your conventions, documentation, and past decisions.
- 03
Independent verification
Separate reviewer agents score every deliverable across correctness, quality, security, and tests. Nothing merges on trust alone.
- 04
Continuous learning
Each cycle captures learnings back into the knowledge layer, so the next plan is better than the last.
Capabilities
Capabilities
HAL-SDLC platform
Our engine for AI-driven planning, execution, and review — deployed inside your environment.
Agent enablement
Skills, rules, and context so agents follow your architecture and standards.
Knowledge layer
Your docs, ADRs, and codebase distilled into a searchable wiki agents actually use.
Quality gates
Multi-persona review, security audit, test generation, and pre-ship polish.
IDE & MCP integration
Works with Cursor and any MCP-compatible tooling your developers already use.
Adoption program
Pilot, measure, and roll out across teams with clear governance.
Outcomes
- Faster idea-to-PR cycle with fewer review rounds
- Consistent standards across teams and repositories
- A complete audit trail for every AI-generated change
- Developers focused on judgment, not boilerplate
Typical use cases
- Modernizing a legacy platform module by module
- Building internal tools and customer portals at speed
- Scaling engineering output without scaling headcount
- Regulated environments that require traceability
Have a system to build — or one to keep running?
Tell us about it. We'll come back with a concrete approach, not a slide deck.