Built as a production system for agentic SDLC automation
Stop building agentic chaos on top of CI. Overcut provides a structured control plane for long-lived, stateful, and governed SDLC workflows.
Long-Running and Stateful Workflows
Most SDLC processes are not single commands. They involve waiting for reviews, approvals, retries, and external signals. Overcut natively supports long-running workflows with durable state, allowing agents to pause, resume, and continue execution without losing context.
- Automate real processes, not just scripts
- Handle human-in-the-loop steps cleanly
- Avoid brittle retry logic and timeouts
Token Management and Execution Control
Overcut manages token usage across agents and workflow steps to prevent runaway costs and failures. Includes token budgeting per workflow/execution, controlled context growth, and safe retries.
- Predictable costs
- Stable execution under load
- No silent failures due to context overflow
Native Git and Ticket Integrations
Overcut integrates deeply with GitHub, GitLab, Azure DevOps, Jira, Linear, and ClickUp. Workflows are triggered by real events (PRs, commits, comments) and write results back into the same systems teams already trust.
- No duplicate systems
- No manual syncing
- Automation lives where work already happens
Custom Agents and Role-Based Execution
Overcut allows teams to define custom agents with clear responsibilities such as reviewer, analyst, planner, or implementer. Each agent operates with scoped permissions, defined tools, and clear input/output expectations.
- Higher quality outcomes
- Easier reasoning and debugging
- Clear separation of responsibilities
Tool Governance and Permissions
Agents only have access to explicitly allowed tools such as Git operations, file system access, package managers, or external APIs. Tool access is controlled at the workflow and agent level.
- Reduced blast radius
- Safer automation
- Alignment with security policies
Sandbox Execution Environments
Each workflow executes inside a secured sandboxed environment, isolated from other runs and tenants, with controlled CPU/memory limits and isolated file systems.
- No cross-run interference
- Safer code execution
- Predictable resource usage
Agent Memories
Overcut agents create and use memories on the fly as they work across workflows and repositories. Learned patterns, conventions, past decisions, and domain-specific knowledge are captured during execution and recalled in future runs, allowing agents to improve continuously without manual configuration.
- Agents learn from every execution
- No repeated mistakes across runs
- Domain knowledge accumulates automatically
Reflections and Self-Improvement
Overcut periodically reflects on completed workflow runs through retrospectives. Each retrospective investigates what happened, promotes observations that recur into confirmed guidance, reweights memories based on real impact, and prunes guidance that stopped being useful. Workflows get sharper automatically as they accumulate runs.
- Workflows improve without manual tuning
- Harmful or stale guidance is pruned automatically
- Run a focused review on any single run on demand
Workflow Versioning
Every workflow is versioned, allowing teams to track changes, compare execution outcomes across versions, and measure quality improvements over time. Version history provides a clear audit trail of how automation evolves and enables controlled rollouts of workflow updates.
- Measure quality improvements over time
- Safe rollbacks when needed
- Data-driven workflow optimization
Dependency Installation and Environment Setup
Overcut supports installing dependencies, building projects, running tests, and executing tooling as part of workflows. Supports language-specific environments and dependency caching.
- Works on real repositories
- No manual preparation
- Faster execution through reuse
Caching and Reuse
Overcut caches artifacts such as dependencies, indexes, and intermediate results across workflow runs to reduce execution time and cost.
- Faster workflows
- Lower compute and token usage
- Better scalability
Triggers and Event-Driven Automation
Workflows can be triggered by PR creation/updates, Jira or ClickUp ticket changes, labels, comments, or schedules. Triggers are declarative and auditable.
- Automation happens at the right time
- No polling or brittle glue code
- Clear operational behavior
Semantic Search and Code Indexing
Overcut builds and maintains semantic indexes of repositories, enabling agents to search and reason about code beyond keyword matching. Includes code structure awareness and dependency relationships.
- Higher quality analysis
- Better root cause identification
- More accurate code changes
Observability and Audit Trail
Every workflow run is observable from trigger to outcome. Includes step-level logs, inputs/outputs, decisions, approvals, and external system actions.
- Debug automation confidently
- Meet compliance requirements
- Continuously improve workflows
Deployment Flexibility
Overcut supports multiple deployment models: Fully managed SaaS, Private cloud or VPC, On-prem environments, and BYOK LLM and model control.
- Meet security and compliance needs
- Avoid vendor lock-in
- Align with internal infrastructure standards
Native Git and Ticket Interface
Overcut operates directly inside Git, Jira, Linear, and ClickUp using native primitives such as comments, labels, statuses, and assignments. Agent activity, decisions, and progress are visible where teams already work, allowing entire agent teams to be orchestrated directly from Jira, Linear, and ClickUp tickets and pull requests.
- No new UI to learn
- Work stays fully transparent
- Agents operate as first-class participants
Ticket-to-Git Mapping at Scale
Overcut maintains explicit mappings between Jira, Linear, and ClickUp tickets and Git repositories, even in large organizations with many projects and hundreds of repos. Agents automatically identify the correct codebase, ownership, and dependencies for each ticket.
- Works in complex org structures
- Eliminates manual repo discovery
- Accurate context for every task
Hierarchical Context Management
Overcut manages context at multiple levels including organization, project, repository, use case, workflow, and agent. Each level contributes scoped knowledge, policies, and constraints to ensure consistent and accurate execution.
- Correct context without overload
- Consistent behavior across runs
- Fine-grained control over agent reasoning
Scheduled and Continuous Execution
Workflows can run on schedules such as nightly, weekly, or before standups. Overcut enables agents to work continuously to clean backlogs, prepare summaries, detect issues, and keep systems moving even outside working hours.
- True 24/7 execution
- Reduced backlog accumulation
- Better prepared daily rituals
Locking, Prioritization, and Execution Control
Overcut enforces locking and priority rules to prevent conflicting agent actions. Workflows respect resource locks, ticket ownership, and execution priorities to ensure coordinated and predictable automation.
- No agent collisions
- Predictable outcomes
- Organized and intentional automation
Organization-Level Token Management
Token usage is governed at the organization level with shared budgets, limits, and policies across all workflows and built-in integrations. This ensures consistent cost control across Jira, Linear, ClickUp, Git, and other connected systems.
- Centralized cost governance
- Fair usage across teams
- No surprise overages
Visual Workflow Designer
Overcut provides a visual workflow designer for building, understanding, and maintaining complex use cases. Teams can model triggers, agents, decision points, and human approvals without managing low-level orchestration logic.
- Easier maintenance at scale
- Clear mental model of execution
- Faster iteration on complex workflows
Built for real SDLC operations
Overcut transformed our ad-hoc code reviews into a standardized, CI/CD-driven workflow. Its AI reviewer quietly adds an extra set of expert eyes to every pull request, boosting code quality and freeing our engineers to focus on new features.
Connecting Jira with multiple Git providers and running workflows across them used to be fragmented and manual… now everything runs end-to-end in a single flow with the right context.
Automate. accelerate. Grow.
Use Cases