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Coding Agents - Page 4
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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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…
All About AIYour ML model's 93% win rate is probably just luck. Here's why.
A 14-trade winning streak on Kalshi looks like a machine learning edge. The creator's own analysis shows it's luck. Expected loss after 1,000 windows: $12.
Latent SpaceAgent harnesses need three layers: executive, harness, sandbox
Self-improving agents require separating policy from state. Exo's three-layer architecture enables safe recursive self-improvement while protecting secrets…
AI EngineerWhy RL-Trained Agents Fail in the Real World — and How to
RL agents break when real UIs fight back. Amazon AGI shows why flight simulators and harness guardrails are the difference between demo and product.
IBM TechnologyIBM and Meta show open AI's industrial and on-device future is real.
IBM partners for B300 GPU clusters, Meta releases an on-device model that outperforms expectations, and OpenAI teases a model it won't release. The real…
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