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Products that do what AI for when it IS rocket science does

The context layer for 10x engineering

  1. 1AC

    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…

    Jan 2026 · demo.contextual.ai

  2. 2

    You assign the tasks. Your Agents do the work.

    Sep 2025

  3. 3

    Cursor’s most powerful model yet

    May 2026 · cursor.com

  4. 4
    Composer225

    Build, backtest and execute trading algorithms with AI

    2023

  5. 52C

    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…

    Feb 2026 · github.com

  6. 6
    Brief228

    Navigate your agents to product-market fit

    Jun 2026 · briefhq.ai

  7. 7
    Composer123

    Multiplayer markdown for you, your team, and your agents.

    Jun 2026 · usecomposer.md

  8. 8

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io

  9. 9

    Run agent workflows the community already built

    Apr 2026 · epismo.ai

  10. 10
    N71141

    Give all your AI agents one shared context

    Jul 2026 · n71.ai

  11. 11

    Models matter. Context matters more. Give your agent a plan.

    Jun 2026 · deepworkplan.com

  12. 12

    AI that understands, builds, and trades automated strategies

    Oct 2025

  13. 13
    agor102

    Orchestrate multiple AI coding agents with your team

    Nov 2025 · agor.live

  14. 14

    Build powerful agents in seconds with AI CANVA GENERATOR

    2025

  15. 15

    Build your human-AI team. Assign the right AI to each task.

    Nov 2025 · about.epismo.ai

  16. 16

    Specialist AI engineering team for Claude Code

    Apr 2026 · github.com

  17. 17

    Attach reference projects for AI coding tools

    Apr 2026 · marketplace.visualstudio.com

  18. 18

    Build grounded, governed, trustworthy data agents

    Jun 2026 · upsolve.ai

  19. 19

    AI assembles a 3-10 agent team from one sentence

    May 2026 · myaiagents.agency

  20. 20RT

    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…

    Sep 2025 · runnercode.com

  21. 21IL
  22. 22

    we had hundreds of discussions with engineering leaders over the past few months, and everyone's trying to understand where they are in the AI journey. we collected all this data into a benchmark and built a free grader to let you know where you stand. you answer on a 1–5 scale (e.g., autonomy runs from "suggestions only" to "agents own multi-hour workflows across code, infra, and external systems") - takes about 5 minutes. https://agent-benchmarks.com/software-factory/ waiting for your results!

    Jul 2026 · agent-benchmarks.com

  23. 23

    The context layer for AI agents

    Oct 2025

  24. 24HO

    I'm Josh, founder of Synth. We've been working on coding agent optimization with method like GEPA and MIPRO (the latter of which, I helped to originally develop), agent evaluation via methods like RLMs, and large scale deployment for training and inference. We've also worked on patterns for memory, processing live context, and managing agent actions, combining it all in a single stack called Horizons. With the release of OpenAI's Frontier and the consumer excitement around OpenClaw, we think the timing is right to release a v0. It integrates with our sdk for evaluation and optimization but…

    Feb 2026 · github.com

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