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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo

Workik

✓ verifiedFreemium

AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.

210K visits/mo

Pump

✓ verifiedFree

Free cloud cost-optimization platform that pools buying power to give startups enterprise-level AWS, GCP, and Azure discounts.

64K visits/mo3.2K saves

StackGen

✓ verifiedPaid

Agentic AI platform ('Aiden') that automates incident response, infrastructure-as-code and observability tasks with policy-based governance.

13K visits/mo

Middleware

✓ verifiedFreemium

Full-stack observability platform with an AI SRE agent that detects, debugs, and auto-fixes issues across infra, apps, and users.

47K visits/mo713 saves

Pricing

No public pricing

Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)

Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)

Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)

Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)

Tailored: $62/month (custom AI token allocation)

Free trial available

No public pricing

Core features

✦Open-source AI code assistant
✦Customizable autocomplete
✦In-editor AI chat
✦Community-built coding agent

✦Automatic context-gathering from connected engineering sources
✦AI-generated code, tests and pull requests from tickets
✦Task planning that breaks complex work into subtasks
✦Auto-updating engineering documentation
✦Vector search over embedded project data
✦Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
✦Engineering productivity analytics dashboard

✦Automated cloud spend optimization
✦Group buying for enterprise discounts
✦Cost visibility and insights dashboards
✦Coverage across AWS, GCP, and Azure
✦No-cost service model

✦Automated service discovery and dependency topology mapping
✦SLO-based alert triage and prioritization
✦AI-driven root cause analysis with pre-built workflows
✦Human-approved remediation with full audit trails
✦Works alongside existing tools like Datadog, Grafana, New Relic
✦Governance and policy enforcement layer for agent actions

✦Infrastructure and application performance monitoring
✦Log monitoring with AI insights
✦Real user monitoring
✦OpsAI SRE agent for detection and auto-fix
✦Synthetic and browser testing
✦LLM observability

Use cases

→Get AI code completions while coding
→Ask questions about code in the editor
→Build on an open-source coding-agent foundation

→Engineering teams automating ticket-to-PR workflows
→Developers wanting AI-assisted debugging and test generation
→Engineering managers tracking AI-driven productivity gains
→Teams centralizing documentation from scattered sources

→Reducing startup cloud bills
→Automating reserved-capacity savings
→Gaining visibility into multi-cloud spend
→Accessing enterprise pricing without scale

→SRE teams reducing mean-time-to-resolution during incidents
→Platform engineers wanting policy-governed AI infrastructure management
→Enterprises needing SOC 2 / PCI / HIPAA-compliant AI operations

→Monitor full-stack app and infra health
→Debug incidents faster with AI
→Correlate frontend and backend issues
→Observe Kubernetes and cloud environments

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