PinnedAgent Native·Jul 2Stop Asking What Model to Run. You Only Have 2 OptionsWhen developers say “model X is dumb,” they often mean:A response icon10A response icon10
PinnedAgent Native·Mar 47 Local LLM Families To Replace Claude/Codex (for everyday tasks)Open-source model families you can run locally that are now delivering real-world performance surprisingly close to commercial-grade modelsA response icon11A response icon11
PinnedAgent Native·Jan 20Local LLMs That Can Replace Claude CodeEditor’s note: While hardware tiers remain valuable context for this article, we’ve published an updated list for the models themselves:A response icon54A response icon54
Agent Native·Jul 12744B MoE on 25 GB of CPU RAM!!!744-billion-parameter model should not run on a 25 GB consumer machine.A response icon4A response icon4
Agent Native·Jul 11Running ALL as One System: Claude Code, Codex, Copilot, Grok, and PiYour agent stack is becoming a process-management problem.
Agent Native·Jul 9Durable State Swarms Cut Token Costs by 46%, And Make Long-Horizon Agents WorkA lot of multi-agent setups still look like this:A response icon1A response icon1
Agent Native·Jul 8Fable 5 Is COMPLETELY Wasted on Most Developer WorkflowsA self-improving agent system gets better because everything around the model gets better, i.e., the environment compounds.A response icon4A response icon4
Agent Native·Jul 5I’m Done Watching Agents Pretend to Understand Repos, Here’s the FixUnderstanding a codebase for agents is a search problem pretending to be reasoning.A response icon3A response icon3
Agent Native·Jul 4Reasoning Agents Still Fail High-Risk TasksMaking a model better at reasoning can make it worse at one of the most important production behaviors for agents: knowing when not to call…A response icon1A response icon1
Agent Native·Jul 3The Real Reason LLM Inference is SlowAlmost every performance problem in deep learning is a memory problem because GPU can do math far faster than it can fetch the numbers to…
