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Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
Eraser AI logo
Eraser AI
✓ verifiedFreemium

AI co-pilot for technical diagrams and design docs, with diagram-as-code and integrations for engineering teams.

873K visits/mo41K saves
Brainboard logo
Brainboard
✓ verifiedFreemium

AI-driven platform to visually design multi-cloud infrastructure and auto-generate Terraform code with built-in CI/CD.

17K visits/mo
Pricing
Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

Free: $0 (3 files, 3 AI diagrams)
Starter: $15/user/mo billed annually (40 AI diagrams)
Business: $45/user/mo billed annually (250 AI diagrams, SSO)
Free: $0 (unlimited architectures and code generation)
Pro: $99/user/mo (Git, CI/CD, RBAC, remote backend)

Free trial available

Core features
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
  • AI-generated diagrams from prompts
  • Diagram-as-code editing
  • Markdown design docs
  • Eraserbot auto-updating codebase diagrams
  • Integrations: GitHub, Notion, Confluence, VS Code
  • Export to PNG/SVG/PDF/MD and MCP server
  • Visual multi-cloud architecture designer
  • Instant Terraform/OpenTofu code generation
  • Drift detection and remediation
  • Embedded visual CI/CD engine
  • GitOps workflow and RBAC
  • AI infrastructure generation from prompts
Use cases
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • Create architecture and cloud diagrams fast
  • Write and maintain design docs
  • Keep codebase diagrams up to date
  • Embed live diagrams in Notion/Confluence
  • Designing and deploying cloud infrastructure visually
  • Migrating to Infrastructure as Code
  • Standardizing Terraform modules and naming
  • Detecting drift between design and live cloud
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