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13 results tagged “Agentic coding” · clear
Signals
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Anthropic ships Claude Opus 5, and it tops the intelligence index
Anthropic released Claude Opus 5 on 24 July, positioning it as near-Fable 5 intelligence at roughly half the cost, with software engineering as the headline strength. Artificial An…
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Two new benchmarks try to measure coding agents on realistic work
Tencent's WorkBuddy Bench evaluates coding agents across code, web, office and security domains, with task construction designed to resist training-data contamination. ICAE-Bench t…
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Patrick Debois maps the patterns of AI-native development
On The AI Native Dev podcast, Patrick Debois — who coined 'DevOps' — lays out the recurring patterns he's seeing in AI-native software development. A companion episode, 'From Livin…
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Code review load is surging as AI writes more of the code
The Pragmatic Engineer's latest Pulse flags a fast-emerging trend: teams shipping AI-generated code are drowning in review load, with reviewers now the bottleneck rather than autho…
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Poolside's Laguna S 2.1 lands, built on a "model factory" pipeline
Poolside released Laguna S 2.1, positioning it as cheaper than DeepSeek V4 Flash and stronger than V4 Pro, and it's climbing Hugging Face's trending list. Latent Space's interview …
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AREX proposes a recursively self-improving deep-research agent
AREX, a Hugging Face paper with 115 upvotes, describes an agent that recursively self-improves at deep research tasks. It's part of a run of work on agents that refine their own st…
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Block launches Buzz, combining chat, AI agents, and git hosting
Block (Jack Dorsey) shipped Buzz, positioned as a single tool combining team chat, AI agents, and git hosting — announced on Block's own engineering blog and picked up widely (364+…
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Paper: coder LLMs may already "know" what context to prune
A new paper (SWE-Pruner Pro) proposes that coding-focused LLMs already carry enough internal signal to identify which parts of a large context window are safe to prune, rather than…
Papers
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CodeMidas: Scaling Agentic Coding RL Environments from Code Itself
This paper creates a system called CodeMidas that turns existing open-source code into environments for training coding agents using reinforcement learning. Practitioners might car…
Podcasts
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The First Thermodynamic AI Computing Chip - Thomas Ahle
In this episode, Thomas Ahle discusses the development of thermodynamic computing chips and the challenges of chip design automation using AI agents. He explains how his team built…