Product
From issue to merged code — with control at every step
Aiprogramist.com gives engineering teams one platform to run coding agents, govern model usage, and automate delivery across GitHub, GitLab, Jira, and internal tools.
Use cases
Visual workflows for delivery, recovery, review, and recurring dependency updates.
Issue delivery flow
From GitLab issue to review-ready merge request with governed execution.
Issue opened or updated in GitLab.
Agent plans and applies code updates.
Checks and logs are validated.
Review-ready change request is posted.
Issue
Issue opened or updated in GitLab.
Agent
Agent plans and applies code updates.
CI
Checks and logs are validated.
MR/PR
Review-ready change request is posted.
Failure recovery flow
When CI fails, agents diagnose logs and open a targeted fix change request.
Pipeline failure is detected instantly.
Agent pinpoints root cause from logs.
Targeted patch is generated.
MR/PR with summary and fix is opened.
Failure
Pipeline failure is detected instantly.
Analysis
Agent pinpoints root cause from logs.
Fix
Targeted patch is generated.
Change
MR/PR with summary and fix is opened.
Code review flow
Agent-assisted reviews produce clear feedback and concrete follow-up updates.
Incoming MR/PR enters automated review.
Policies and code quality are evaluated.
Actionable comments are generated.
Revision is updated and revalidated.
Review
Incoming MR/PR enters automated review.
Checks
Policies and code quality are evaluated.
Feedback
Actionable comments are generated.
Update
Revision is updated and revalidated.
Scheduled dependency updates flow
Run dependency maintenance on a schedule, validate upgrades, and open review-ready change requests.
A recurring update window triggers the workflow automatically.
Agents inspect outdated packages and choose safe upgrades.
Version bumps are applied and the repository is revalidated.
A change request is opened with the dependency summary and results.
Schedule
A recurring update window triggers the workflow automatically.
Scan
Agents inspect outdated packages and choose safe upgrades.
Upgrade
Version bumps are applied and the repository is revalidated.
MR/PR
A change request is opened with the dependency summary and results.
Run these workflows on your repositories
Start free, then scale in SaaS or self-hosted mode.
Full feature list
Complete capabilities for coding, governance, and integrations.
Coding Platform
Run and orchestrate agent workflows while coding side-by-side with agents.
- Run coding tasks from issues, comments, or direct prompts
- User-level and org-level agent conversations
- Integrated IDE to discuss and apply changes
- Per-task model selection with task-level LLM stats
- Pipeline visibility next to active coding tasks
Administration Console
Configure models, policies, and usage controls for secure operations.
- User-level and org-level LLM configuration
- Global and per-user usage guardrails
- Daily, weekly, and monthly model limits
- Audit logs for agent actions
- Usage and spend visibility
GitHub & GitLab integrations
Automate engineering workflows directly in your SCM systems.
- Issue-triggered coding and update workflows
- Automated review and remediation flows
- Dependency update automation
- Agents updating issues and PRs/MRs
- Pipeline-aware follow-up fixes
Jira + MCP connectivity
Connect delivery workflows across ticketing and internal systems.
- Start agents from Jira tasks and comments
- Agents report progress back to Jira
- Built-in MCP servers for GitHub, GitLab, Jira
- PostgreSQL read-only and Kubernetes basic actions
- Support for custom MCP servers