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Engineering Leadership - Page 26
AI decisions through the lens of teams and execution. Curated tldw.news briefings about engineering leadership, with practical engineering takeaways from long-form AI and developer-tool videos.
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InfoQeBPF’s Pre-Hook Enforcement Changes Vulnerability Management
eBPF blocks exploits before they run—live CVE mitigation without reboots. Complexity is hidden behind tools like Tetragon/Cilium. Ready?
Theo - t3․ggAI Makes Rebuilding NPM, Git, and Slack a Small-Team Sport
Theo argues AI agents make rebuilding foundational tools like NPM and Git feasible for small teams—but network effects remain the real barrier.
Latent SpaceThe Feedback Loop Is the Moat
Trajectory.ai productizes continual learning by capturing user corrections to auto-fine-tune models, signaling a shift from static to adaptive AI.
IBM TechnologyYour Backups Are Useless If You Don't Test Recovery
The 3-2-1-1-0 rule upgrades classic backup strategy with immutability and recovery testing. Untested backups are just corporate mythology.
Theo - t3․ggAI Makes Shallow All-in-One Platforms a Strategic Play
AI slashes feature-build cost, making it viable to compete with sprawling SaaS by building shallow-but-broad platforms. The tradeoff: breadth replaces depth.
David OndrejMatt Pocock’s Agentic Engineering Workflow (just copy him)
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
Theo - t3․ggStop Prompting. Start Designing the Loop.
One engineer's psychological pivot from 'prompting agents' to 'designing loops that prompt agents' reveals a massive arbitrage in subscription-tier pricing. They landed 4 stacked PRs overnight with dynamic, self-reviewing workflows—and couldn't even hit their rate limit.
Latent SpaceWhy AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
AI EngineerThe Production AI Playbook: Deploying Agents at Enterprise Scale — Sandipan Bhaumik, Databricks
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
GOTO ConferencesThe C4 Model: Visualizing Software Architecture • Simon Brown & Susanne Kaiser • GOTO 2026
A short briefing on the practical engineering implications, trade-offs, and claims worth ignoring.
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