Devin by Cognition
AI software engineer for delegated coding tasks and parallel sessions
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
What this product helps you do
Devin is designed for scoped software-engineering work such as tickets, features, bug reproduction, tests, migrations, refactors, documentation, and internal tools. Users can follow its shell, IDE, browser, and progress, take over when needed, and connect work through code hosts, issue trackers, Slack, or Teams. Current plans include a limited free tier, paid individual plans with included usage, a team base fee plus full-seat pricing, and custom Enterprise terms.
Problems it solves
- Engineering backlogs contain scoped work that can be delegated in parallel
- Repetitive migrations, tests, fixes, and documentation consume developer time
- Teams need visibility into an agent's commands, code changes, and browser work
- Coding agents must connect to repositories, tickets, collaboration tools, and review workflows
Devin is Cognition's AI software engineer for delegated coding work. It can write, run, and test code while exposing an embedded shell, IDE, browser, conversation, and progress view that a developer can inspect or take over.
It can work through cloud sessions, desktop and command-line tools, integrations, and an API. Pricing ranges from a limited free plan to paid individual and team plans plus custom Enterprise terms.
Information
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Devin by Cognition
AI software engineer for delegated coding tasks and parallel sessions
Devin is Cognition's AI software engineer for delegated coding work. It can write, run, and test code while exposing an embedded shell, IDE, browser, conversation, and progress view that a developer can inspect or take over.
It can work through cloud sessions, desktop and command-line tools, integrations, and an API. Pricing ranges from a limited free plan to paid individual and team plans plus custom Enterprise terms.
What this product helps you do
Devin is designed for scoped software-engineering work such as tickets, features, bug reproduction, tests, migrations, refactors, documentation, and internal tools. Users can follow its shell, IDE, browser, and progress, take over when needed, and connect work through code hosts, issue trackers, Slack, or Teams. Current plans include a limited free tier, paid individual plans with included usage, a team base fee plus full-seat pricing, and custom Enterprise terms.
Problems it solves
- Engineering backlogs contain scoped work that can be delegated in parallel
- Repetitive migrations, tests, fixes, and documentation consume developer time
- Teams need visibility into an agent's commands, code changes, and browser work
- Coding agents must connect to repositories, tickets, collaboration tools, and review workflows
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
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Daizy provides AI agents designed to enhance marketing, sales, and research efforts within financial services, automating tasks such as content generation and client engagement to increase productivity.
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LM-Kit is a powerful toolkit for integrating and orchestrating AI agents within .NET applications. It enables seamless multimodal AI workflows with efficient on-device inference, enhancing AI-driven features while maintaining low resource consumption and high performance.