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Visual workflow automation with code and AI for technical teams

Architecture, construction and project knowledge

AI assistant from Feathery that builds and runs operational workflows from plain language

Turns screen-recorded demos into docs, chatbots and insights

Run parallel S3 and local-file operations from the command line

Employee training, operations, and performance software.

Unified observability and AI-driven operations for hybrid environments.

Check infrastructure and application availability with configurable remote monitors, thresholds, alerts, and reports.

Check endpoint and job health, then turn failed checks into incidents and status-page updates.

Compose file-processing jobs from import, conversion, and export tasks.

Automate alert investigation with human review controls

Connect payment routing with transaction-level operational visibility

Branch, diff, and merge database tables using version-control operations alongside SQL.

Build event-driven applications with a cross-platform asynchronous I/O library.

Recruit and manage participants for user research

Layer-based vector drawing with procedural repeat and modifier sequences

Trace backend requests and inspect the database calls, external dependencies, and errors that affect their performance.

A terminal code editor built around selecting text first and applying editing commands to it.

An open-source in-memory data-structure server for caching, queues, and key-value workloads.

Build and train Python machine-learning models with tensor operations, neural-network layers, and automatic differentiation.

Coordinate distributed applications with naming, configuration, synchronization, and group-service primitives.

Search, organize, share, and manage Drive files from an application.

Read, update, and append spreadsheet cell values from an application.

An embeddable persistent key-value store for applications that need fast local storage.