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AI Workflows - Page 39
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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AI EngineerWhen Startups Become Side Projects, What’s Left to Build Big?
AI orchestration collapses project tiers: startup scope becomes a side project, and “too big” vanishes. Small teams can now build AWS-like breadth.
AWS DevelopersAgent Hooks: The Middleware Your AI Workflows Are Missing
Hooks bring middleware-like control to AI agents, enabling approval gates and rate limiting. Essential for teams moving agents to production.
AWS DevelopersTool Protocol Temptation: MCP’s Hidden Context and Security Costs
MCP’s promise of standardized agent-tool integration hides a context-bloat and security tradeoff. Filtering tools becomes a critical harness design lever.
AWS DevelopersThe Real Work in AI Agents: Building the Harness, Not the Model
AI agents aren’t just models—they rely on a harness for tools, context, and guardrails. This is where engineering leaders need to focus.
The Pragmatic EngineerThe AI Hiring Caste System Is Already Here
AI is already creating a hiring caste system. Leaders must evaluate how engineers reason with AI, not just code, before the gap widens.
Y CombinatorGusto’s AI Agent Launch Proves Small, Process-less Teams Ship Fast
Gusto shipped an AI co-founder for SMBs; the real lesson is how a 5-person team built it in 10 weeks with no meetings or specs, using Claude Code.
AI EngineerStop Inventing Bad Scripting Languages with Agent Tools
Swapping 15 spreadsheet tools for a JavaScript REPL with state lifted agent accuracy from 50% to 92%. The lesson: stop building bad scripting languages.
AI EngineerStatic Harnesses Fail in Complex Real-World AI—Adaptive Engineering Needed
Fixed harnesses break in real-world complexity; adaptive engineering lets the harness self-organize, trading predictability for resilience.
AI EngineerThe Agents Aren't Bad, Their Search Queries Are Broken
Why do capable LLMs fumble complex search tasks? It’s not reasoning, but retrieval. A new agent harness teaches natural queries, closing the gap.
AI EngineerYour Agent Architecture Might Matter More Than the Model
Harness design can add 20+ points to agents. This talk explores if architecture investment, not models, could slash costs and lock-in — demo early-stage.
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