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Suspec — agent work with receipts
Agent work with a paper trail. Skills implement the method; the optional CLI checks the records.
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80 % |
|
Cristian Trifan — Full-stack engineer, agentic workflows
Senior full-stack engineer: TypeScript, React, Next.js, Node.js. Two decades of production software, built with agents in the loop. Remote EU contracts.
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79 % |
|
AI agents in production | Catalin Bozianu
I build LLM agents that run every day: bug triage and patching, retrieval you can cite, and the approval gates that keep both safe. Fifteen years of full-sta...
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79 % |
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CliFun | Reusable Agent Skills
Turn plain-language workflows into reusable agent skills and release-ready CLI packages.
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79 % |
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Coherence — Turn messy feedback into specs your coding agent can execute
Paste support tickets, call notes, sales objections, and bug reports. Coherence clusters them into evidence-backed workstreams, generates the spec, and write...
|
79 % |
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Baken Labs — Harnesses and evals for autonomous agents
Baken Labs builds the harness that makes an agent reliable and the evals that prove it's ready to run without a human watching it. Dark software factories an...
|
78 % |
|
Greg Ceccarelli · Intent is the new source code
I help teams build useful software by steering agents and proving the result. I call this agentic engineering. It's the focus of SpecStory, my teaching, writ...
|
78 % |
|
clu. agents are the commodity. context is the moat.
The central context layer for software engineering. Built for engineers running fleets of agents.
|
78 % |
|
Fluentic — Making engineering teams agentic-coding ready
AI writes the code. Fluentic gets your engineering team ready for it: developer judgment training, DevSecOps guardrails for coding agents, and spec-driven de...
|
78 % |
|
Chrona | Agents, white-glove.
White-glove AI operations. We stand up your agent stack and keep it current, so you stop learning tools and start shipping with them.
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78 % |
|
Spruce — Ship software without losing context
A native desktop app for planning, code, and review. Each feature, bug, and task lives in your repo as plain markdown. Parallelize your work. Use any CLI agent.
|
78 % |
|
Dosco Agent Network – The Agentic OS for Your Company
The private agentic OS for your company. Every agent, skill, and memory is a file in one versioned repo you own — a workforce of AI agents that does real wor...
|
78 % |
|
Hog · Your coding agent has no idea why.
An MCP server that feeds Claude Code and Codex the real product context (Linear, Slack, notes, incidents) before they write a line, so your agent builds on w...
|
78 % |
|
marlon gacrama jr — full-stack & ai engineer
marlon gacrama jr — full-stack & ai engineer based in cebu, philippines. building agentic systems, voice agents, and end-to-end web products with next.js, re...
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78 % |
|
akukiki — a free read-only production audit for products built with AI agents
|
78 % |
|
AgentStack · One approved source of truth for agent instructions.
A CLI and private registry that gives teams one approved source of truth for the stacks and skills their agents follow across tools, repos, and local targets...
|
78 % |
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Ponytail Skill — Stop AI agents from overbuilding
Ponytail Skill makes your agent check the standard library, native platform features, and existing dependencies before it writes new code.
|
78 % |
|
ClankerBar — a shared backlog for coding agents
A shared backlog for coding agents: they pull work over MCP, ask questions when blocked, and hand results back for review — while code runs on your machine.
|
78 % |
|
Pekan · Everything your agents do, in one place
Pekan organizes the work, dispatches it to your coding agents, and reviews what comes back. Local-first desktop app, no account, MCP server built in.
|
78 % |
|
Agent work, visible — dongo
Give coding agents work, see what they are doing, and answer when they need you.
|
78 % |
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