Topic
Coding Agents - Page 5
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.
110
breakdowns
Page 5 of 11
AI EngineerYour Agent Improvement Strategy Is Incomplete Without Trace Mining
LangChain's research lead argues that agent improvement is a data mining problem. Trace data—tool calls, outputs, errors—is the signal for continuous…
AI EngineerHow to improve coding agents without golden answers or regression
Continual learning for coding agents doesn't need golden answers. Applied Compute's distillation spectrum shows offline traces plus targeted hints improve…
IBM TechnologyForget Prompt Engineering: Context Engineering Is Where Agents Live or Die
Context engineering—not prompt engineering—is the skill that separates prototype agents from production-ready systems. Learn why more context hurts…
Theo - t3․ggStop Blaming Models: Your Agent Prompts Are the Real Bottleneck
One engineer's deep dive into optimizing AI agent behavior through prompt engineering, not model upgrades. The secret: invest in failure analysis and…
InfoQCoding agents are making comprehension the new bottleneck for engineering teams.
Coding agents remove the gatekeeping around code production, but create a new bottleneck: comprehension. The speaker argues that the future belongs to…
AI EngineerWhy your coding agents fail in teams and how to fix it
Coding agents work for individuals but break in teams. The fix isn't better models or prompts—it's organizational investment in shared agent infrastructure.
Y CombinatorOpen source AI agent creator warns: fun is velocity, dependency is risk.
When your open-source AI agent explodes to 4.7M downloads, the fun stops. Steinberger on security, burnout, and why model dependency nearly broke his project.
AI EngineerOpenAI's Codex harness reveals agent governance patterns teams should steal
OpenAI's Codex harness is open source and reveals production patterns for agentic infrastructure including context capping, deferred tools, and auto-review…
IBM TechnologyYour AI agent skills are dependencies. Start treating them that way.
Agent skills look simple but hide real risk: 13% of public skills have critical flaws. Build from real expertise, not LLM output. Use deterministic scripts…
Hugging FacePrompt Caching: The Hidden Cost Lever in AI Agents
Prompt caching is the difference between viable agents and budget-breaking sessions. Yet most teams undermine it with one mistake: dynamic system prompts…
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.