AI for when it IS rocket science

What it does

Contextual AI is releasing Agent Composer, a new way to build AI agents for technical professionals—think engineers and scientists working in semiconductors, aerospace, manufacturing. With Agent Composer, our customers are cutting 8-hour technical tasks down to 10 minutes (e.g. root cause analysis, customer engineering, test code generation).

Introducing Agent Composer—AI capabilities that cut the time needed for complex technical tasks like root-cause analysis, production planning, and test code generation from hours to minutes. Free engineering teams to focus on high-impact problems with expert AI built for precision.

Today, we're launching Agent Composer—new capabilities for our platform that reduce the time needed to complete complex technical tasks from hours to minutes, and free engineering teams to focus on highest-impact problems. Watch the launch video below: Teams can now build and customize dynamic agents and static workflows using an intuitive development experience, comprehensive AI toolkit, and enterprise-scale runtime. Agent Composer extends our unified context layer with orchestration capabilities that enable multi-tool coordination, multi-step reasoning, and complex workflows across enterprise data. Generic AI has transformed how work is done, but it still fails at complex, specialized…from contextual.ai

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  Agent Composer – Create your own AI rocket scientist agentJan 2026 · demo.contextual.ai · ▲11

  Hey HN! We launched a thing today, and built a cool demo that I'm excited to share with the community. This tool creates AI agents easily and can handle some really technically complex work. I whipped up this rocket scientist agent in our tool in 10 minutes. I asked a couple of aerospace engineer friends what they thought, and they found it useful for their real work, which is why I want to share it here. Here's the demo https://demo.contextual.ai/ and an overview https://docs.contextual.ai/examples/rocket_science Would love to see technical HN folks and…

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  20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53

  Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

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  Now that AI is capable of writing large volumes of production-quality code, our role as developers is changing. Our primary job is no longer writing code. It’s planning and communicating software design and architecture. We have to do this collaboratively with agents and then review and iterate on their implementations. IDEs were not built for this workflow. So about three months ago I decided to try to build what I thought this new interface should look like. Runner is a coding agent purpose-built for this new “plan and review” workflow. It’s not for vibe coding. It’s for professional…

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