agents-towards-production logo
agents-towards-production
★ 21.7k
vs
coder_eval logo
coder_eval
★ 154

agents-towards-production vs coder_eval

agents-towards-production: Agents Towards Production is an open-source playbook for building production-ready GenAI agents that scale from prototype to enterprise. It provides hands-on tutorials covering a comprehensive range of topics from orchestration and memory to deployment and security.; coder_eval: Coder Eval runs a real coding agent (Claude Code, Codex, Antigravity, OpenCode or Pi) in a sandbox against declarative YAML tasks and scores the files and commands it produced. It supports weighted 0.0-1.0 criteria, skill-trigger checks, A/B experiments and cost telemetry, and can gate CI on agent quality.

01

TL;DR

agents-towards-production logo
agents-towards-productionDev Tooling · ★ 21.7k

Developing scalable, production-ready Generative AI agents.

coder_eval logo
coder_evalDev Tooling · ★ 154

Benchmark coding agents on your own domain tasks

02

Side-by-Side Comparison

Field
agents-towards-production logoagents-towards-production
coder_eval logocoder_eval
Category
Dev Tooling
Dev Tooling
Stars
★ 21.7k
★ 154
License
NOASSERTION
Apache-2.0
Install Command
pip install -r meeting-recorder-agent/requirements.txt
uv tool install coder-eval
Updated
6d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, GenAI, Production Deployment
agent-evaluation, agent-skills, agent-testing
03

Features

agents-towards-production logoagents-towards-production
01Production-ready AI Agent Deployment
02Advanced Memory Systems (Vector, Hybrid, Self-Improving)
03Real-time Web Data Integration & Retrieval Augmented Generation (RAG)
04Secure Tool Calling & Guardrails
05Agent Orchestration & Stateful Workflows
coder_eval logocoder_eval
01Declarative YAML tasks with pinned dependencies and success criteria
02Sandboxed execution with resource limits
03Weighted 0.0-1.0 scoring, including LLM-graded rubrics and skill_triggered checks
04A/B experiments across agents, models, tools and prompts
05Telemetry for every tool call, token count and cost
04

Use Cases

agents-towards-production logoagents-towards-production
↳Developing scalable, production-ready Generative AI agents.
↳Integrating real-time data and advanced memory for intelligent automation.
↳Securing and deploying AI agents in enterprise environments.
coder_eval logocoder_eval
↳Benchmark coding agents on your own domain tasks
↳Verify that a skill actually triggers in the agent you ship for
↳Fail CI builds when agent or skill quality regresses
05

Best For

agents-towards-production logoagents-towards-production
Most PopularEssentialTrending
coder_eval logocoder_eval
—
FAQ

FAQ

What is the difference between agents-towards-production and coder_eval?
Both agents-towards-production and coder_eval are in the Dev Tooling category. agents-towards-production has 21.7k stars, while coder_eval has 154 stars.
Which is better, agents-towards-production or coder_eval?
The best choice depends on your use case. Choose agents-towards-production if Developing scalable, production-ready Generative AI agents., and coder_eval if Benchmark coding agents on your own domain tasks.
Is agents-towards-production free or open source?
Yes, agents-towards-production is open source on GitHub (NOASSERTION).
Is coder_eval free or open source?
Yes, coder_eval is open source on GitHub (Apache-2.0).
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