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Coding Agents - Page 8
Practical shifts in agentic coding, review, and delivery. Curated tldw.news briefings about coding agents, with practical engineering takeaways from long-form AI and developer-tool videos.
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Machine Learning Street TalkThe reasoning trail leads back to you: a security blind spot in
Encrypted reasoning traces from Claude, GPT-4, and Gemini can be decoded and replayed. Your private thoughts may not be private. Teams should treat reasoning…
AI EngineerAgent building is easy. Context is where agents still fail.
Building agents is now trivial. But as Jeff Ng demonstrates, agents without organizational context confidently recommend fixes that caused past outages. The…
Hugging FaceSmaller AI models can beat frontier models by using them as tools
A small RL-trained model outperforms frontier models at replicating ML research figures by using Codex as a tool—suggesting orchestration matters more than…
AI EngineerAgent automation: the real lesson is evaluation, not model selection
A single Hugging Face engineer replaced manual outreach with an agent workflow. The real signal? Evaluation matters more than the model. And he doesn't tell…
AI EngineerWhy one engineer with a compounding system beats your AI team
One engineer shipping a full email client alone. The secret: a compounding system that learns from every interaction. But the discipline required is higher…
Cole MedinDeepSeek's plugin-based coding agent: flexibility over polish, but at what cost?
DeepSeek's new open-source coding agent harness is built on plugins, offering full control over the agent loop. It's promising but rough—teams must weigh…
NeuralNineLocal AI Just Got Real: 27B Model Rivals Big APIs for Half
A 27B open model now rivals frontier models on benchmarks, but its token waste and slow inference reveal the real tradeoff: ownership vs. speed in local AI.
AI EngineerReal-time video avatars are getting cheap—but not yet emotionally smart
Real-time video avatars are nearing cost parity with voice models, but emotional control and orchestration remain hard. LemonSlice's approach uses world…
Cole MedinWhy your AI coding team is slower than you think—and how to
AI coding without a system leads to a productivity mirage. This workshop shows how to build a shared AI layer (rules, skills, MCP) that makes agents reliable…
IBM TechnologyRAD from 1991 Is the Missing Workflow for AI Coding Agents
RAD's four-phase methodology is back in the age of AI coding. But the real lesson is spec-driven development: prototype fast, but govern production with a…
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