An SDK for building custom coding agents with tools and sub-agents

Hacker News

I’ve been experimenting with AI coding agents for a while, especially combining planners like o3 with executors like Claude Code. Eventually I needed more control — so I built a TypeScript SDK that makes it easy to spin up custom coding agents, attach toolsets, define system prompts, and compose sub-agents. It also has a simple CLI for github actions or dangerously running things locally. It’s open-source and early, but it already powers some of my other projects, such as a prompt-based PRD generator grounded in your codebase. - Agent SDK GitHub: https://github.com/qckfx/agent-sdk - Prompt Generator Use Case Github: https://github.com/qckfx/compose Would love feedback, use cases, or ideas for where to take this next.

Visit product View on Hacker NewsJun 20, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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