The Journal, page 13
Page 13 of 20 of the Journal archive: AI engineering talk recaps, briefs and build notes, newest first.
- 20 days of compute vs 7 hours: rethinking what state-of-the-art means — Bertrand Charpentier, Pruna
- Dynamic Workflows: How Claude Writes Its Own Harness
- How to talk to statues — Joe Reeve, ElevenLabs
- What if the network was the sandbox? — Remy Guercio, Tailscale
- Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
- Engineering voice agents: Latency, quality, and scale — Rishabh Bhargava, Together AI
- Spec-Driven Testing for Agents With A Brain the Size of A Planet — Steven Willmott, SafeIntelligence
- How I deleted 95% of my agent skills and got better results — Nick Nisi, WorkOS
- How We Built Zeta2: Training an Edit Prediction Model in Production — Ben Kunkle, Zed
- Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind
- Reachy Mini: the $300 open source robot you can actually hack — Andres Marafioti, Hugging Face
- Reverse engineering a Viking VOIP phone protocol with Claude Code — Boris Starkov, Eleven Labs
- Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
- Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
- How agent o11y differs from traditional o11y — Phil Hetzel, Braintrust
- Most Enterprise Agentic Projects Are Doomed, Here's Why — Jess Grogan-Avignon & Jack Wang, Accenture
- Anthropic Just Dropped a Masterclass on Building Agent Harnesses (for Large Codebases)
- The AI Skill I Rely On Daily — Priscila Andre de Oliveira, Sentry
- The maturity phases of running evals — Phil Hetzel, Braintrust
- Why Rust is the Ideal Language for Vibe-Coding — Daniel Szoke, Sentry
- Agentic Evaluations at Scale, For Everybody — Nicholas Kang & Michael Aaron, Google DeepMind
- Does GenAI "belong" to data scientists? — Phil Hetzel, Braintrust
- Run Frontier AI at Home — Alex Cheema, EXO Labs
- Stop babysitting your agents... — Brandon Waselnuk, Unblocked