Running several coding agents at once can increase throughput, but only when the work can be divided safely. Poor decomposition creates duplicated effort, incompatible assumptions and an integration burden that erases any time saved. Parallel agentic engineering is therefore an orchestration and architecture discipline—not simply a matter of opening more sessions.
This course teaches participants to plan work as a dependency-aware set of bounded tasks, assign each agent an isolated environment and require verifiable outputs. It also addresses the new bottlenecks created by parallel generation: shared context, merge coordination, review capacity, compute cost and accountability.
Participants will build a controlled multi-agent development workflow in which deterministic CI and human technical judgement remain the integration authority.
Learning Outcomes
Upon completion of this course, participants will be able to:
- Decide when parallel agent execution is appropriate
- Decompose features into bounded tasks with explicit dependencies
- Provision isolated branches, worktrees or remote environments
- Coordinate shared contracts and context across agents
- Monitor progress without micromanaging every implementation step
- Reconcile competing solutions and conflicting changes
- Apply deterministic validation before integration
- Design governance and cost controls for multi-agent engineering
Course Outline
The Case for Parallel Agents
- Interactive, delegated and parallel coding workflows
- Work that benefits from concurrency and work that does not
- Throughput limits created by review, testing and integration
- Risks of duplicated assumptions and architectural divergence
- Choosing the appropriate number and specialisation of agents
- Defining a human integration owner
Decomposing Work for Concurrency
- Mapping outcomes, components, interfaces and dependencies
- Separating discovery, implementation, testing and documentation tasks
- Creating tasks with stable inputs and verifiable outputs
- Identifying shared files and likely conflict zones
- Establishing non-goals and boundaries for each agent
- Sequencing work that cannot proceed safely in parallel
Isolated Execution Environments
- Git branches and worktrees for local agents
- Ephemeral and remote development workspaces
- Reproducible dependencies, fixtures and service emulators
- Separate credentials and least-privilege access
- Compute, network and filesystem constraints
- Cleaning up environments and retained agent state
Shared Context and Contracts
- Establishing one approved specification and architecture baseline
- Interface contracts, schemas and test fixtures as coordination mechanisms
- Repository instructions shared by all agents
- Communicating approved changes to shared assumptions
- Preventing agents from silently redefining contracts
- Maintaining a decision log for the complete programme of work
Orchestration Patterns
- Coordinator, supervisor and independent-worker patterns
- Assigning tasks by capability, risk and available context
- Status, evidence and completion contracts
- Timeouts, cancellation and reassignment of stalled work
- Avoiding uncontrolled agent-to-agent delegation
- Combining event-driven orchestration with human checkpoints
Verification of Parallel Outputs
- Requiring tests, commands and evidence from each task
- Contract testing across independently changed components
- Detecting incompatible assumptions before merge
- Comparing alternative implementations against the same criteria
- Running security, quality and architecture checks per workspace
- Promoting only verified artefacts to integration
Integration and Conflict Resolution
- Merge order based on dependency and risk
- Rebase, cherry-pick and patch-based integration strategies
- Resolving semantic conflicts beyond Git conflict markers
- Asking agents to explain rather than automatically resolve ambiguity
- Keeping integrated changes small enough for meaningful review
- Re-running complete system tests after reconciliation
Operating at Team Scale
- Registries of active agents, tasks and workspaces
- Review capacity as a planning constraint
- Budgeting tokens, compute and remote environments
- Monitoring cycle time, rework, abandonment and merge failure
- Audit trails and attribution for agent-generated changes
- Rollout patterns from individual use to a shared platform
Practical Capstone
- Decompose a cross-component feature into parallel work packages
- Create isolated workspaces and shared contracts
- Run several agents with bounded permissions
- Validate each output independently
- Reconcile an injected semantic conflict
- Integrate the change and present operational metrics and lessons
Intended audience
This course is intended for senior developers, staff engineers, technical leads, developer-platform engineers and architects who already use coding agents and want to coordinate them across larger bodies of work. It is suited to teams responsible for maintaining architectural coherence and delivery controls at higher levels of automation.
Prerequisites
Those attending this course should meet the following:
- Strong software development and Git experience
- Practical experience supervising a coding agent
- Familiarity with CI/CD, automated testing and pull-request review
- Understanding of software architecture and task dependencies