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AI Workflows - Page 34
How engineering teams turn AI tools into repeatable work. Curated tldw.news briefings about ai workflows, with practical engineering takeaways from long-form AI and developer-tool videos.
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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 EngineerYour RL rollout fleet doesn't need to live in the same cluster
RL post-training's rollout fleet can run on any GPU globally by shipping sparse weight deltas, not full checkpoints. Modal's talk proves the math and the…
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…
AI EngineerMultiplayer agents demand team-wide infrastructure, not just better models
How to scale agentic coding across your team: shared sessions, secure sandboxes, and benchmarking on your own codebase—not just public benchmarks.
AI EngineerAI Coding's Productivity Spike Fades Without Verification Debt Control
AI coding tools boost productivity for ~3 months, but code quality degrades. Independent verification is the missing piece for sustainable gains.
AI EngineerVelocity Sickness: Why AI Speed Breaks Team Coordination
AI makes engineers faster, but teams suffer from 'velocity sickness'—output without impact. The solution: shift from code velocity to idea velocity by…
AI EngineerAI agents for production ops: context beats execution
AI coding agents are creating more production issues. Background agents that run on schedules and triggers can handle operational toil, but only if they have…
Theo - t3․ggMCP finally fixes its fatal flaw—and breaks everything you built
MCP's biggest update yet: stateless core, serverless deployable, no more wasted connections. But backward incompatibility means every old MCP integration…
AI EngineerGitHub Next: AI automations need guardrails, not just prompts—and multiplayer coding is
Idan Gazit presents two GitHub Next prototypes: Agentic Workflows with deterministic security guardrails and Ace, a real-time multiplayer coding environment…
AI EngineerYour agents fail because of architecture, not model quality
Frank Coyle dissects Anthropic's CCA exam, extracting the anti-patterns that cost teams tokens and reliability. The insight: context isolation and agent…
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