#AI Engineer
21 articles with this tag
Harshul Jain Audible Talks LLM Inference at Scale
Harshul Jain of Audible and Tanmay Sah were billed for an AI Engineer deep dive on LLM Inference at Scale, but source transcript yields no technical claims.
Agent to Agent Network Effects Hit Privacy Wall
Jean-Denis Greze reframes agent-to-agent as search for the perfect context window and details five privacy-constrained patterns plus their poisoning risks.
The Lethal Trifecta Blocking Agentic Commerce
David Levine says the lethal trifecta, private data plus untrusted content plus action, blocks agentic commerce until agent identity is verifiable.
Generative UX Ends Static Screens at Scale
Commercetools showed intent-driven UI that renders live components from prompts, and why declarative protocols need strict curation to be safe.
DeepMind's Multimodal Collaborative Agents
Google DeepMind's Nidhi Kaushik Vyas demos a three-phase loop for agents that handle fuzzy shopping intent with visual elicitation.
Stripe's Agentic Commerce Demo Exposes Prompt Risk
Stripe's agentic commerce demo turns a headphone-buying agent from helpful to pushy with one prompt, showing why UCP and tokenized payments matter.
The Signal Layer Is the New Moat
When AI makes building free, Lena Hall says value moves from shipping speed to the signal layer: choosing what to build and emitting it without distortion.
AI Agents at Global Scale Meet Tribal Dungeons
Maersk's Dmitry Buykin says production agents fail in tribal dungeons, and fixing them took 100,000 corrections and a 20:1 SOP corpus.
Ironclad Rethinks AI Token Spend ROI
Ironclad replaces token leaderboard culture with trusted throughput, measuring merged PRs and review quality to raise ROI on AI token spend.
The Half Life of Agent Infrastructure Is Now Months
Box CTO Ben Kus says agent stacks now expire in months, not years, and teams must build to swap models, retrieval and sandboxes continuously.
AI Native Organizations Run on Skills
QuantumBlack's Imad Touil says AI-native scale depends on governed, portable skills, not just models and tools.
Formal Verification Moves Into AI Coding
AWS shows how Lean4 proves AI generated code correct for all inputs, from 32,000 line zlib proofs to 100M nightly Cedar tests.
AI Diffusion Requires Owners, Not Vendors
Long Lake's Varun Shenoy says AI diffusion is a 20-year owner-operator problem and lays out a five-rung ladder from co-pilot to co-worker.
Figma's Coding Agents Playbook Without Garbage
Figma engineer Alon Blum shares how verification, planning and attention-aware docs let coding agents ship 5x faster without trashing quality.
AI Evals for Cross-Functional Teams at DoorDash
DoorDash turned AI evals into a cross-functional workflow with self-serve judges and vibe-coded annotation UIs built on API-first primitives.
Uber's uReview Rebuilds Automated Code Review
Uber's uReview now posts 25,000 AI code review comments weekly, cutting costs 60% while triaging a review bottleneck that tripled to 9 hours.
Tim Angers on Graphs for Smarter AI
Tim Angers of The Good Collective demystifies graph data structures and algorithms for AI, showing how to build better graphs for smarter, cheaper, and more reliable AI applications.
AIE World's Fair 2026: 6 Key Insights
The AI Engineer World's Fair 2026 is set to be a landmark event, boasting a larger scale, new leadership tracks, and a deep dive into AI verticals. Discover the key insights.
Ben Kunkle on Building Zed's Zeta2 Prediction Model
Ben Kunkle from Zed Industries explains the architecture and data pipeline for building Zeta2, an AI model that predicts code edits.
Anthropic Unveils Advanced APIs for Agentic AI Development
