Description

This curriculum spans the operational and strategic dimensions of development team management, comparable in scope to a multi-workshop organizational rollout of engineering best practices across team structure, delivery execution, and technical governance.

Module 1: Team Structure and Role Definition

Determine whether to adopt a feature-based versus component-based team organization based on system architecture and delivery cadence.
Define clear boundaries between frontend, backend, and full-stack developers to reduce overlap and ownership conflicts.
Decide on embedding DevOps engineers within the team or maintaining a shared platform team, weighing control versus consistency.
Establish escalation paths for technical disagreements between senior developers and architects.
Implement a rotation schedule for on-call responsibilities across team members to ensure equitable workload distribution.
Negotiate team size between 5–9 members, balancing communication overhead with delivery capacity.

Module 2: Agile Planning and Delivery Execution

Select sprint length (1, 2, or 3 weeks) based on feedback cycle requirements and external stakeholder dependencies.
Decide whether to include bug fixes and technical debt in sprint planning or manage them via a separate triage process.
Implement story point estimation using planning poker or t-shirt sizing, adjusting for team maturity and predictability.
Manage scope creep during sprints by defining a change control process for mid-sprint requests.
Integrate product owner availability into sprint planning to avoid delays in clarification and acceptance.
Track velocity over time and adjust forecasting models based on team composition changes or external interruptions.

Module 3: Code Quality and Engineering Standards

Enforce mandatory peer review policies, defining minimum reviewer counts and response time SLAs.
Select static analysis tools (e.g., SonarQube, ESLint) and configure severity thresholds for blocking builds.
Standardize commit message formats and branching strategies (e.g., GitFlow vs trunk-based development).
Define acceptable technical debt thresholds and establish a quarterly review process for remediation.
Implement automated code formatting using tools like Prettier or Black, integrated into pre-commit hooks.
Balance unit test coverage targets (e.g., 70–80%) against maintenance cost and test effectiveness.

Module 4: CI/CD Pipeline Design and Maintenance

Decide between self-hosted (e.g., Jenkins) and SaaS CI platforms (e.g., GitHub Actions) based on security and compliance needs.
Structure pipeline stages to include build, test, security scan, and deployment, with appropriate gating.
Configure deployment rollback mechanisms and ensure they are tested in staging environments.
Manage secrets in CI using dedicated vaults (e.g., HashiCorp Vault) rather than environment variables.
Optimize pipeline execution time by parallelizing test suites and caching dependencies.
Define ownership of pipeline maintenance and assign responsibility for monitoring pipeline failures.

Module 5: Cross-Team Collaboration and Dependency Management

Map upstream and downstream dependencies to identify integration risks before sprint planning.
Establish API versioning policies and communication protocols for breaking changes.
Coordinate release schedules with dependent teams using a shared roadmap or dependency calendar.
Implement contract testing (e.g., Pact) to validate integration points without end-to-end environments.
Resolve ownership disputes over shared libraries by defining stewardship and contribution guidelines.
Conduct regular sync meetings with adjacent teams to align on priorities and mitigate bottlenecks.

Module 6: Technical Governance and Decision Making

Document architectural decisions using ADRs (Architecture Decision Records) and maintain a central repository.
Define approval thresholds for technology adoption (e.g., new frameworks, databases) based on risk and impact.
Establish a lightweight tech review board to evaluate high-impact changes proposed by team members.
Balance innovation velocity against standardization by creating approved technology lists with review cycles.
Enforce data governance policies such as PII handling and encryption at rest in application code.
Integrate security requirements into the definition of done for user stories.

Module 7: Performance Monitoring and Incident Response

Instrument applications with structured logging and ensure logs are aggregated in a central system (e.g., ELK).
Define SLOs and error budgets for critical services and communicate them to stakeholders.
Configure alerting thresholds to minimize noise while ensuring critical issues are escalated promptly.
Conduct blameless postmortems after incidents and track action items to resolution.
Implement health checks and readiness probes for containerized services in orchestration platforms.
Train team members on incident command roles and conduct regular fire drills for outage scenarios.

Module 8: Talent Development and Knowledge Management

Assign mentorship pairings for junior developers and define measurable growth milestones.
Schedule recurring internal tech talks to disseminate knowledge on new tools or patterns.
Maintain a team wiki with runbooks, onboarding guides, and system diagrams, enforcing update discipline.
Rotate ownership of complex modules to prevent knowledge silos and build team resilience.
Conduct code katas or debugging workshops to strengthen collective problem-solving skills.
Evaluate skill gaps annually and align training investments with roadmap technical demands.