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UV GitHubBased on our record, GitHub seems to be a lot more popular than UV. While we know about 2474 links to GitHub, we've tracked only 29 mentions of UV. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Uv for environment and dependency management. - Source: dev.to / 4 days ago
Python 3.10 or newer and uv (recommended) or pip to manage the environment. - Source: dev.to / 9 days ago
We're piloting uv, Astral's Rust-based package manager, and weighing whether pyproject.toml should become the single source of dependency truth with requirements.txt generated as a lockfile artifact - which is where most modern Python workflows are clearly heading. But I keep coming back to how small the actual fix was. One tool swap turned a 214-line liability into a 23-line file that documents exactly what the... - Source: dev.to / 9 days ago
To turn on automatic upkeep (consult .okf/ before tasks, write knowledge back after changes), paste templates/CLAUDE-okf.md into your project's CLAUDE.md. It's soft mode and entirely opt-in. The scripts need uv (or python3 + pyyaml). - Source: dev.to / about 1 month ago
To follow along, you need an AWS account, a non-root IAM identity with credentials configured locally, uv installed, and the toolkit installed in your agent. The fastest path across Kiro, Claude Code, Cursor, and Codex is the AWS CLI installer, aws configure agent-toolkit; in Kiro you can instead add the AWS MCP Server to .kiro/settings/mcp.json (pin the mcp-proxy-for-aws version) and run npx skills add... - Source: dev.to / about 2 months ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 4 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 12 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 12 days ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 13 days ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 22 days ago
Ollama - The easiest way to run large language models locally
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