Topic
Coding Agents - Page 13
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.
154
breakdowns
Page 13 of 16
Theo - t3․ggFable 5 vs GPT-5.6: The Real Cost Is Merge Debt
Two top AI coding models, two opposite tradeoffs: cost vs merge quality. Fable 5 is the premium plan, Soul the fast executor. Here's when to use each.
David OndrejManaging AI Agents, Not Just Using Them
An AI engineer uses an agent manager and adversarial code review catching 63% of AI-generated changes—a shift in how teams should design AI workflows.
AI EngineerCode Is Free—Architecture and Security Are Now the Bottleneck
Code writing is commoditized, and human code review may vanish. The real engineering bottleneck shifts to architecture, specification, and security governance.
Theo - t3․ggKimi K3: Open-Weight Frontier with Hidden Tradeoffs
Kimi K3 is the first open-weight model to reach frontier performance, but its massive scale and security gaps raise hard questions for engineering leaders.
Theo - t3․ggYour Model Is Fine, Your System Prompt Is Sabotaging You
Codex’s hidden system prompt mandates specific border radii and bans empty states, wasting tokens and producing generic output. Fix the harness, not the model.
AI EngineerCursor’s Model Flywheel: From Fine-Tuning to Full Pre-Training and Recursive Improvement
Cursor’s shift to full pre-training and recursive model improvement turns agent feedback into a self-reinforcing data flywheel—a new moat for AI coding tools.
AI EngineerAI Skills Without Evals Are Production Time Bombs
AI skills boost agents ~15%, but unevaluated skills silently fail and waste tokens. Here's the eval discipline most teams are missing.
Theo - t3․ggUltra Mode Is a Budget Burner, Not a Reasoning Level
Ultra mode isn’t a reasoning upgrade—it’s a sub-agent toggle that can evaporate rate limits. Why it burns tokens and what leaders should do.
Machine Learning Street TalkThe Inference Moat: How Cosine Builds Frontier AI on Millions
How one UK startup builds a frontier LLM without billions: skip inference, use government compute, and co-design with paying customers.
IBM TechnologyAI CodeGen: Trust Is the Real Bottleneck
84% of devs use AI code tools, but 55% of generated code has vulnerabilities. The real question: which translator does your team trust in production?
Get TL;DW
Too Long; Didn't Watch.
A concise breakdowns of the AI and devtools videos that actually matter for engineering leaders.
Free. Weekly. No hype.