Browsing: Session

In this tutorial, we configure and operate Kimi CLI as a fully non-interactive AI coding agent. We install the CLI through uv with an isolated Python…

import subprocess, sys def _pip_install(*pkgs): try: subprocess.run([sys.executable, “-m”, “pip”, “install”, “-q”, *pkgs], check=True) except Exception as e: print(f”(pip install skipped/failed for {pkgs}: {e})”) _HAVE_OPENAI = False…

To be a leader means managing constant complexity. Shifting priorities, team dynamics, capacity challenges, and the pressure to execute while everything keeps changing.Our Leadership Strategy Sessions…

A new working research from Perplexity and Harvard offers field evidence on what AI agents do to knowledge work. It draws on production data from two…

class SuperClaude: “”” Mimics what Claude Code does at session start: • reads Markdown behavior files for the active command/agent/modes, • concatenates them into one system…

To be a leader means managing constant complexity. Shifting priorities, team dynamics, capacity challenges, and the pressure to execute while everything keeps changing.Our Leadership Strategy Sessions…

Running AI agents in a local script is straightforward. Running them reliably in production across teams, across restarts, with isolated environments per context is a different…

Note: We’re on a slightly different schedule this month. Our LSS is on the second Wednesday rather than our usual first Wednesday.To be a leader means…

Debugging an AI agent that runs for dozens of steps: reading files, calling APIs, writing code, and revising its own output, is not like debugging a…

class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list[dict] = [] if system: self.history.append({“role”: “system”, “content”: system})…