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grinding
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Achievement: Pull Shark

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0xACE3/README.md

I write production software — automations, API integrations, and libraries other people can build on.

A lot of my work is getting systems to talk to services that never published an interface: working out undocumented endpoints and auth flows, handling TLS and browser fingerprinting, then wrapping what I learn into something reusable. ezhttp came directly out of that. The rest of my time goes to automation and to the infrastructure underneath AI agents.

I pick the language to fit the problem — Go for concurrency and a single tight binary, TypeScript for services and pipelines, Python where the data tooling already lives. Whatever the stack, the same things matter: typed boundaries, real test suites, and as few dependencies as I can get away with.


Selected work

ezhttp

Go · HTTP client

Built straight on net/http, no framework underneath. HTTP/1.1, HTTP/2 and HTTP/3; TLS and user-agent fingerprint rotation; WebSockets with automatic reconnect; JSON path traversal without declaring structs; CSS-selector extraction; SOCKS5 and HTTP proxies; retry with exponential backoff.

ezai

Go · agent runtime

Provider-agnostic LLM runtime. Tool schemas are derived from Go structs by reflection, so a plain typed function becomes a model capability. Agents compose — any agent can be handed to another as a tool. Parallel dispatch, context compaction under token pressure, and typed lifecycle events carrying token usage and per-model cost.

opentools

TypeScript · agent tooling

Portable capabilities for coding agents: a codebase indexer, a browser-automation driver and a research CLI, packaged as skills that carry between machines.

What I work on
API reverse engineering Undocumented endpoints, auth flows, TLS and browser fingerprinting, anti-bot surfaces
Automation Browser automation, structured scraping, data pipelines, internal tooling
Libraries & services Dependency-light packages, typed public APIs, tested and documented
Agent infrastructure Tool-calling loops, parallel dispatch, context management, multi-agent composition
LLM systems Retrieval, judge models and quality gating, tracing, per-request cost attribution

Contact

Happy to talk about API work, automation, or anything agent-shaped. Reach me at 0xbitshot@gmail.com.

~ 0xACE3

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