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AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
AI-assisted coding-tutorial tool for learning to code; now unmaintained as its creator moved to another project.
API intelligence platform discovering, scoring and correlating API design, security and runtime signals into one production-readiness score.
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No public pricing
No public pricing
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦Weekly newsletter with high-quality insights
- ✦Deep dives into ML topics
- ✦Tools used by Machine Learning engineers
- ✦ML System design course (coming soon)
- ✦YouTube channel (coming soon)
- ✦Archive of past articles
- ✦AI-powered coding tutorials
- ✦Interactive, developer-style lessons
- ✦Guided learning with modern tools
- ✦Demo project walkthrough
- ✦Waitlist sign-up (courses coming soon)
- ✦Automatic API discovery from source code, gateways and live traffic
- ✦Composite API Heartbeat score combining design, security and performance signals
- ✦Real-time API vitals like latency, error rates and throughput
- ✦Cross-signal correlation linking security findings to design and usage context
- ✦Design-to-runtime drift tracking against OpenAPI specs
- ✦Executive dashboards for non-technical risk reporting
- ✦Higher tiers add API security, governance and an AI assistant
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Upskilling as a Machine Learning engineer
- →Learning about ML systems at scale
- →Staying updated on the latest ML tools and techniques
- →Understanding ML system design principles
- →Learning to code with an AI assistant
- →Following interactive coding tutorials
- →Practicing with guided project examples
- →Platform teams needing a single inventory of all APIs across clouds and gateways
- →Security teams correlating vulnerabilities with API design and usage risk
- →Engineering leaders monitoring overall API health via one composite score
- →Compliance teams tracking documentation and governance gaps
- →Organizations wanting predictive alerts before API incidents occur