1. Frame
Align on the business outcome, scope boundaries, acceptance criteria, constraints, and known risks before delivery starts.
Approach
How Lightheart runs agile delivery inside real client constraints.
We combine senior-led agile delivery with DevOps automation, DevSecOps checks, SRE reliability practices, FinOps discipline, and explicit release governance. Each engagement ends with either a clean handover or SLA-backed maintenance.
2. Plan
Translate the scoped outcome into a working backlog, sprint cadence, architecture approach, and release assumptions.
3. Sprint execution
Deliver in short iterations with backlog refinement, reviewable increments, senior technical oversight, and explicit tradeoff handling.
4. Validate and release
Run test, security, architecture, environment, and release-readiness checks before a go/no-go decision is made.
5. Transition or operate
Close with transfer-ready documentation and knowledge handover, or continue in a defined SLA-backed maintenance path.
Proven delivery disciplines behind the model
We do not rely on one generic "agile" label. We combine proven engineering and service disciplines based on the needs of the workstream.
Agile delivery
Scoped backlog, sprint planning, refinement, demos, and retrospectives keep progress visible and decision-making fast.
DevOps automation
CI/CD, infrastructure as code, repeatable environments, and release automation reduce manual delivery risk.
DevSecOps controls
Security checks, dependency review, secrets handling, and release gates are embedded in the implementation workflow.
SRE and observability
Monitoring, runbooks, incident readiness, and reliability thinking help releases stay supportable after launch.
FinOps discipline
Cloud cost visibility, right-sizing, and cost-performance tradeoffs are managed as part of delivery where relevant.
Architecture governance
Key technical decisions are documented, reviewed, and aligned with the target environment before they become release risk.
How work runs week to week
This is how an engagement usually operates once delivery is underway.
Backlog refinement and sprint planning
We keep scope current, break work into decision-ready increments, and confirm what is entering the next sprint.
Async updates and active risk management
Open risks, blockers, and decisions are surfaced continuously rather than hidden until the end of the week.
Reviewable progress every sprint
Demoable increments, technical review, and stakeholder feedback are built into the working cadence.
Release go/no-go discipline
Release readiness is treated as an explicit decision with quality, security, operational, and ownership checks.
Operational controls that protect quality at speed
- ✓Architecture decisions are reviewed, documented in a decision log, and remain traceable.
- ✓AI-generated code passes the same review, test, and release bar as manually authored code.
- ✓CI includes testing, security checks, and reliability or performance validation where relevant.
- ✓Handover or SLA-backed support is agreed upfront as an explicit delivery outcome.
What clients actually get visibility into
The operating model is designed to keep you involved in decisions without dragging you into daily execution.
A scoped milestone
Kickoff aligns on the business result, technical boundaries, acceptance criteria, and what is intentionally out of scope.
Decision-ready reporting
Updates highlight shipped work, open risks, pending decisions, and the next approval or action required from your side.
Artifacts your team can keep using
Backlog context, release notes, documentation, runbooks, and decision records are built so the work survives the engagement.
What we need from your team
The model works best when decision-making, product context, and environmental access are available.
- A real decision owner who can make scope and priority decisions quickly.
- Access to the relevant codebase, backlog tools, environments, and delivery constraints.
- A shared definition of done, release process, security expectations, and documentation expectations.
- Availability for weekly reviews, unblock moments, and sprint or release decisions.
Choose the end state that fits the work
Not every engagement should end the same way. We support both transfer to your team and ongoing maintenance under a defined SLA.
Transfer to your team
Best when your internal engineers will own the roadmap after release and need context they can act on immediately.
- Handover documentation and release context
- Knowledge transfer sessions with your team
- Clear ownership transition and next-step recommendations
SLA-backed maintenance and support
Best when you need continuity after launch, operational coverage, or a managed stabilization period.
- Defined support scope, response expectations, and escalation path
- Bug fixing, maintenance, and controlled follow-on changes
- Operational continuity without losing release discipline