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AI system design tools for dev teams
Agentic Labs is making software design and architecture less painful by building AI into the process. Today, developers have no shortage of tools for instantly creating chunks of code, but designing the systems that integrate this code is the hardest and most manual part of software engineering. Our first product is Glide, an AI-first editor purpose-built for writing technical design docs. It connects to your codebase and saves your engineering team time on triage, planning, and implementation of complex code changes.
Agentic Labs provides AI system design tools that help dev teams manage and optimize context, data, and prompts for AI agents. Their platform focuses on organizing code context, building knowledge bases, and evaluating AI performance through datasets and reward modeling.
The product collects, cleans, and organizes context for agent deployments to reduce manual overhead. It supports building a code knowledge base, generating explanations at multiple levels, and connecting data sources on-site. It includes evaluation sets and reward modeling to design metrics and datasets for AI success in business use cases, as well as prompt optimization and reinforcement learning to improve prompts based on experience.
Who it’s for: Dev teams and AI/ML teams responsible for deploying and maintaining AI agents and systems
Hiring/traction mentions (careers) and general growth signals; backed by funding information appears truncated here
Building self-assembling software. Previously at hedge funds and doing ML research
Introducing Glide - a new way to build software with AI
Glide is an AI-first editor from Agentic Labs that integrates with a codebase to help triage, plan, and implement complex code changes, generating technical design docs and step-by-step plans. It targets teams with 10+ engineers seeking to improve code quality and speed without sacrificing design rigor.
From the original launch (Feb 2024) — may be outdated.
AI software engineer that lives on its own computer
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