One-on-Ones That Actually Move Your Career Forward
One-on-ones work when there’s intent and ownership. Bring wins, one blocker, a skill gap, and a concrete ask to make real progress.
One-on-ones work when there’s intent and ownership. Bring wins, one blocker, a skill gap, and a concrete ask to make real progress.
Fix npm trusted publishing from GitHub Actions after token revocations: add OIDC permission, upgrade npm, and publish with –provenance.
Many large-scale platforms and networked control systems have a centralized decision maker interacting with a massive population of agents under strict observability constraints. Motivated by such applications, we study a cooperative Markov game with a global agent and $n$ homogeneous local agents in a communication-constrained regime, where the global agent only observes a subset of $k$ local agent states per time step. We propose an alternating learning framework $(texttt{ALTERNATING-MARL})$, where the global agent performs subsampled mean-field $Q$-learning against […]
A simple setMonth() call jumped from Jan 2024 to March 2023. Here’s the timezone overflow chain—and the fix with UTC and Temporal.
A practical framework to steer AI coding agents with simple Markdown: AGENTS.md + four context files. Less bloat, more alignment.
Agentic AI fails in production without memory. Learn the five-layer enterprise memory architecture for continuity, grounding, state, and auditability.
There are many ways to read, organize your favorite books, and share your opinions about them. Numerous developers in the open-source world know this, and they’ve been creating a wide set of free tools we can use to expand our reading experience. From personal libraries to social reading, these software pieces are available for everyone. Here, we’ll explore five tools that will make our stories even more interesting. If you find them useful, donating cryptocurrency to their teams […]
Building a Deal Desk Intelligence Agent with LangChain and OpenAI Most enterprise AI journeys begin with prompts. Teams use language models to summarize documents, classify tickets, or generate insights from unstructured text. These are valuable capabilities and often the first step in adopting AI across the organization. However, operational teams such as Revenue Ops or Deal Desk typically need more than text generation. They need consistent, policy driven decisions. Beyond understanding language, the system must apply rules, enforce thresholds, […]
Streaming Transformer Networks: Unified Hearing-to-Speech Recognition and Intelligent Text Generation Systems introduce a groundbreaking architecture that processes real-time audio streams to produce both synthesized speech outputs and contextually intelligent text, overcoming traditional limitations in multimodal AI systems. Traditional speech recognition models often operate offline, requiring full audio sequences before generating results, which hinders interactive applications. This work proposes a transformer-based framework that unifies hearing-to-speech translation directly converting input audio into natural-sounding speech with advanced text generation capabilities, enabling […]
Your inference stack is burning money on solved problems. A storage hierarchy would fix the part you’re paying for twice.