AI Agents
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Impeccable Is a Design Language That Stops Your AI From Shipping Slop UI
Impeccable is a design language for AI coding harnesses with a specific mission: stop them from shipping the same SaaS visual slop on every project. The author’s diagnosis is what every reviewer of AI-built frontends silently thinks — Inter for everything, purple-to-blue gradients, cards nested in cards, gray text on coloured backgrounds, the rounded-square icon… Continue reading
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Expanse (YC P26) Targets the 60-70% of GPU Capacity Datacenters Waste
Expanse, launching out of Y Combinator’s current batch, attacks an embarrassing number nobody wants to put on a slide: datacenters run at roughly 30–40% effective GPU utilisation. The rest is paid for and idle. Expanse’s job is to make it useful. ## Three things it actually does The product wraps three capabilities. **Resource prediction** right-sizes… Continue reading
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Replacing RAG With Grep: GrepSeek Trains Search Agents to Use Bash on the Corpus
GrepSeek — the paper is formally “Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction” — takes a sharp position on RAG: tear out the embedding model, the vector index, and the top-k retrieval, and let the agent search the corpus the way a coding agent navigates a codebase. Just grep, find,… Continue reading
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revfactory/harness Turns a Domain Description Into an Agent Team and Its Skills
revfactory/harness is a meta-skill for Claude Code: instead of giving you an agent, it designs the agent team. Tell it “build a harness for this project,” describe the domain, and it picks a team architecture, defines specialised agents, and generates the skills they use. ## Six team patterns, picked for you Harness ships with six… Continue reading
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QwenPaw 1.1.9 Adds a Web IDE With File Tree, Diff Review, and Git Panel
QwenPaw, the personal AI assistant from agentscope-ai, shipped v1.1.9 — and the headline addition is Coding Mode, a full Web IDE that lives inside the assistant rather than sending you off to a separate editor. ## A real IDE, not a chat-with-code box Coding Mode is a three-panel Web IDE: a file tree on the… Continue reading
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ACC Turns Agent Trajectories Into Long-Context Training Data
ACC (Agent Context Compilation) tackles a clean idea: when agents solve problems, they produce massive trajectories — tool calls, environment observations, dozens of turns. That data is usually thrown away after the task. ACC converts it into long-context training material instead. ## How it works When an agent works a search, software-engineering, or database-querying task,… Continue reading
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NVIDIA’s AXPO Closes the Thinking-Acting Gap in Multimodal Agentic RL
AXPO — Agent Explorative Policy Optimization — targets a quiet failure mode in how multimodal agents are trained with reinforcement learning: the Thinking-Acting Gap. Standard RL recipes like GRPO end up underweighting the tool-call moments that decide whether the agent succeeds. ## Why GRPO drops the ball on tool use The diagnostic data is sharp.… Continue reading
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Alibaba’s Qwen 3.7-Max Runs 35 Hours Straight Across 1,158 Tool Calls
Alibaba announced Qwen 3.7-Max at the Apsara Cloud Summit, with API rollout already started. It’s positioned as Alibaba’s most capable agent model so far — built for long-running, multi-step workflows rather than single-prompt question answering — and ships with a 1M-token context window and a native extended-thinking mode. ## The 35-hour demo The standout number… Continue reading
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LiteCoder-Terminal Scales Terminal Agent Training to 11,000 Trajectories
LiteCoder-Terminal is a scaling effort for one of the harder agent settings: the actual command line. The release moves the data side from a sub-1,000-trajectory preview to 11,255 agent trajectories collected across multiple scaffolds, and broadens the task mix beyond what previous terminal-agent datasets covered. ## Multi-scaffold, three new task categories The earlier preview trained… Continue reading
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Artisan’s Ava 2.0 Drops AI BDR Pricing 10x and Goes Self-Serve
Artisan announced general availability of Ava 2.0, a ground-up rebuild of its AI BDR — the autonomous sales rep that runs the outbound pipeline without a human in the loop on each step. The launch also slashed the entry price by 10x and dropped the gate: $250/month instead of $2,500/month, self-service onboarding in under 10… Continue reading
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