Industry · Software · Tech Policy · Events
Engineering culture, developer tooling and the working lives of the people who ship software, from The Silicon Ledger.
Google bundles reasoning into its voice model while OpenAI splits the work across separate layers. The architectural choice shapes how developers build, cost, and control voice agents.
Graph technology is emerging as essential infrastructure for moving AI applications from experimental prototypes to production systems, with Neo4j positioning its solutions as a knowledge layer for enterprise AI agents.
StackBlitz's Bolt.new platform is offering developers dramatically increased usage of open-weight coding models in exchange for sharing anonymized session data to train a trillion-parameter model with Arcee AI.
Microsoft's Azure SRE Agent investigates incidents and prepares fixes before human engineers intervene, already managing more than 1.8 million incidents inside the company with many resolved in minutes.
Perplexity's Portable Computer, an on-device AI agent for complex tasks, is now available on Windows systems equipped with Nvidia RTX GPUs carrying at least 24GB of memory.
Claude Fable 5.1 wins a new coding benchmark with a 38.8% success rate, but that means it fails nearly two-thirds of the time when tested on proprietary code from real companies.
GitClear's analysis of 623 million code changes reveals that AI-assisted development boosts output modestly while triggering a dangerous shift toward copy-paste coding and away from refactoring, threatening long-term maintainability.
As Chip Huyen returns to P99 CONF, her framework for reducing AI inference costs without hardware upgrades remains relevant—though the rise of agents and reasoning models has shifted how practitioners think about the problem.
