#ai-agents
14 articles
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He Stopped Applying to Jobs and Built a System That Did It For Him
Career-Ops: an open-source multi-agent system built on Claude Code that evaluated 740+ job offers, generated 354 tailored CVs, and landed its creator a Head of Applied AI role. Now on GitHub.
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AutoAgent: The AI That Engineers Its Own Harness and Tops Benchmarks
AutoAgent autonomously builds and optimizes agent harnesses without human engineering, achieving #1 on SpreadsheetBench (96.5%) and top GPT-5 score on TerminalBench (55.1%) in 24-hour runs.
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The Engineer Who Made Claude Build a DAW in 4 Hours — And What He Learned About Harness Design
A solo agent costs $9 and ships broken software. A three-agent harness costs $200 and builds a retro game maker from one sentence. Here's how the engineering actually works.
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Your Data Stack Wasn't Built for This: Architecting for AI Agents
DuckDB has an MCP server. Databricks bakes LLM functions into ETL. AI agents are becoming the most demanding query clients your infrastructure has ever seen.
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What If You Could Run the Future Before It Happens? Meet MiroFish.
MiroFish spawns thousands of AI agents with memories, personalities, and opinions, then watches what breaks loose — 45k GitHub stars and counting.
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Claude Subconscious Gives Claude Code a Persistent Memory That Actually Works
A background agent that runs silently after every Claude Code response, building and surfacing context across sessions without adding latency to your workflow.
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Build a RAG System Without Embeddings or Vector Databases
PageIndex turns documents into navigable trees. An LLM reasons through the hierarchy to find answers — no embeddings, no similarity search, just structured retrieval.
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An AI Agent Made $19,915 in 8 Hours. The Benchmark That Proved It Is Open Source.
ClawWork dropped 220 professional tasks across 44 job categories, gave AI agents $10 each, and told them to survive. One agent turned that into nearly twenty grand.
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The AI Doesn't Need to Read Your Codebase. It Needs a Map.
Context Hub, Code Review Graph, and the emerging discipline of giving AI agents less to make them smarter.
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Databricks Agent Bricks Is Quietly Changing How Data Engineers Work
Describe the task. Connect your data. Let the platform handle the rest. That is the promise of Agent Bricks — and for a specific, important set of data engineering problems, it is actually delivering on it.
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GitNexus Gives AI Agents a Nervous System for Code
AI coding agents are blind — they read files but don't see structure. A 16K-star open-source project is changing that by building knowledge graphs that make agents actually understand codebases.
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CLI-Anything turns Photoshop into a terminal command
One plugin scans a desktop app's source code and generates a complete command-line interface for it, so AI agents can use software that was built for humans.
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Karpathy Let an AI Agent Do ML Research While He Slept — It Ran 100 Experiments by Morning
AutoResearch gives an AI agent one file, one GPU, and one metric. The agent modifies the code, trains for 5 minutes, checks if it improved, and repeats all night long. The results are surprisingly good.
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Claude Code Puts an AI Agent in Your Terminal — And It Actually Works
Anthropic's agentic CLI reads your codebase, edits files, runs commands, and commits changes. No IDE plugin. No web UI. Just a terminal that understands what you're building.