Summon
your
agent clone.

Joshua Sum

Founder, Morphic

“Adal has singlehandedly accelerated our product roadmap by months”

Avi Konduru

CTO, Shor

“AdaL stays oriented in our codebase. It helps us move through boilerplate and edge-case-heavy contract logic without turning the work into a week-long slog.”

Debamitro Chakraborti

CTO, GrowthMax Inc.

“AdaL stayed stable across releases and kept adding useful features like model switching, multiple providers, and sub-agents. I’ve used it for full-stack platforms, iOS prototypes, compilers, and a command-line coding agent I use regularly.”

Hanyu Wu

Senior Data Scientist, Micron Technology

“AdaL feels like a careful engineering partner. It explains its approach, shares useful context, and gives implementation insights that make development more enjoyable. Its deep research mode is especially valuable for understanding unfamiliar domains before building.”

Annie Liao

CEO, Build Club

“AdaL helps our team build our flagship product, Solaris, and supports our AI community at hackathons and in their everyday work.”

Nico Sesma

Engineer

“As a small team of 2 developers, using AdaL has allowed us to increase our work capacity and move quickly. The ability to choose between multiple frontier models, easily keep context through multiple sessions, and knowing my data is private is what keeps me using AdaL.”

“AdaL feels fundamentally different from other AI coding agents. It understands intent well, orchestrates tasks effectively through sub-agents, and delivers responses noticeably faster in complex workflows. It was the only agent that successfully navigated multiple roadblocks autonomously and completed the task end-to-end.”

Mihai Chindris

Engineer, Siemens

“I chose AdaL because it was the only agent that truly grasped the engineering problem, not just the last prompt. It stayed focused across the entire codebase, caught edge cases I would have overlooked, and delivered something I was genuinely proud to ship. It even helped me submit a hackathon project on a tight deadline, which I couldn't have accomplished alone. If you've been disappointed by agents that generate code that doesn't hold together, AdaL is genuinely different.”

Dr. Atlas Wang

Professor, UT Austin

“I use AdaL to prototype research papers - the stage where the spec is half-formed, the codebase doesn't exist yet, and most AI tools collapse. AdaL holds up. It lets me take a paper-stage idea to a working experiment in hours instead of a week, which means I kill bad hypotheses earlier and put real compute behind the ones that survive. For research velocity, that's the only metric that matters.”

Joshua Sum

Founder, Morphic

“Adal has singlehandedly accelerated our product roadmap by months”

Avi Konduru

CTO, Shor

“AdaL stays oriented in our codebase. It helps us move through boilerplate and edge-case-heavy contract logic without turning the work into a week-long slog.”

Debamitro Chakraborti

CTO, GrowthMax Inc.

“AdaL stayed stable across releases and kept adding useful features like model switching, multiple providers, and sub-agents. I’ve used it for full-stack platforms, iOS prototypes, compilers, and a command-line coding agent I use regularly.”

Hanyu Wu

Senior Data Scientist, Micron Technology

“AdaL feels like a careful engineering partner. It explains its approach, shares useful context, and gives implementation insights that make development more enjoyable. Its deep research mode is especially valuable for understanding unfamiliar domains before building.”

Annie Liao

CEO, Build Club

“AdaL helps our team build our flagship product, Solaris, and supports our AI community at hackathons and in their everyday work.”

Nico Sesma

Engineer

“As a small team of 2 developers, using AdaL has allowed us to increase our work capacity and move quickly. The ability to choose between multiple frontier models, easily keep context through multiple sessions, and knowing my data is private is what keeps me using AdaL.”

“AdaL feels fundamentally different from other AI coding agents. It understands intent well, orchestrates tasks effectively through sub-agents, and delivers responses noticeably faster in complex workflows. It was the only agent that successfully navigated multiple roadblocks autonomously and completed the task end-to-end.”

Mihai Chindris

Engineer, Siemens

“I chose AdaL because it was the only agent that truly grasped the engineering problem, not just the last prompt. It stayed focused across the entire codebase, caught edge cases I would have overlooked, and delivered something I was genuinely proud to ship. It even helped me submit a hackathon project on a tight deadline, which I couldn't have accomplished alone. If you've been disappointed by agents that generate code that doesn't hold together, AdaL is genuinely different.”

Dr. Atlas Wang

Professor, UT Austin

“I use AdaL to prototype research papers - the stage where the spec is half-formed, the codebase doesn't exist yet, and most AI tools collapse. AdaL holds up. It lets me take a paper-stage idea to a working experiment in hours instead of a week, which means I kill bad hypotheses earlier and put real compute behind the ones that survive. For research velocity, that's the only metric that matters.”