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DeepSeek Harness: Build AI Coding Agents with Free Models [9/2026, ENG]

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DeepSeek Harness: Build AI Coding Agents with Free Models [9/2026, ENG] (Size: 1.92 GB)
  1 - DeepSeek Harness and the Free-Model Architecture
  1 - Welcome and course outcome.en_US.srt 4.67 KB
  1 - Welcome and course outcome.mp4 18.99 MB
  2 - Model versus agent versus harness.en_US.srt 4.11 KB
  2 - Model versus agent versus harness.mp4 46.49 MB
  3 - How the zero-cost architecture works.en_US.srt 4.09 KB
  3 - How the zero-cost architecture works.mp4 16.9 MB
  4 - Developer preview, telemetry and safety.en_US.srt 4.78 KB
  4 - Developer preview, telemetry and safety.mp4 53.09 MB
  10 - Course Completion and Continuing Updates
  52 - Choose the right model route.en_US.srt 2.63 KB
  52 - Choose the right model route.mp4 31.17 MB
  53 - Production-readiness checklist.en_US.srt 2.4 KB
  53 - Production-readiness checklist.mp4 29.29 MB
  54 - Final challenge and next steps.en_US.srt 3.45 KB
  54 - Final challenge and next steps.mp4 39.82 MB
  Assignment The final challenge — extend the work into something nobody briefed you on.html 9 KB
  2 - Install and Run DeepSeek Harness
  1 - Harness architecture and safety.html 26.59 KB
  10 - Diagnose installation and startup failures.en_US.srt 3.73 KB
  10 - Diagnose installation and startup failures.mp4 42.17 MB
  10 - R11-troubleshooting-decision-tree.pdf 125.7 KB
  5 - Development-environment requirements.en_US.srt 3.9 KB
  5 - Development-environment requirements.mp4 42.2 MB
  5 - R2-known-working-versions.pdf 107.6 KB
  6 - Install Node.js and verify the environment.en_US.srt 3.07 KB
  6 - Install Node.js and verify the environment.mp4 33.95 MB
  7 - Start DeepSeek Harness with NPX.en_US.srt 2.83 KB
  7 - Start DeepSeek Harness with NPX.mp4 32.82 MB
  8 - Create a safe practice workspace.en_US.srt 2.76 KB
  8 - Create a safe practice workspace.mp4 32.44 MB
  9 - Navigate the DeepSeek Harness Web UI.en_US.srt 2.3 KB
  9 - Navigate the DeepSeek Harness Web UI.mp4 19.68 MB
  Assignment Prove your environment and bound your workspace before any model touches it.html 8.01 KB
  taskline
  README.md 1.71 KB
  fixtures
  tasks.txt 398 B
  git
  HEAD 21 B
  config 137 B
  description 73 B
  hooks
  applypatch-msg.sample 478 B
  commit-msg.sample 896 B
  fsmonitor-watchman.sample 4.62 KB
  post-update.sample 189 B
  pre-applypatch.sample 424 B
  pre-commit.sample 1.61 KB
  pre-merge-commit.sample 416 B
  pre-push.sample 1.34 KB
  pre-rebase.sample 4.78 KB
  pre-receive.sample 544 B
  prepare-commit-msg.sample 1.46 KB
  push-to-checkout.sample 2.72 KB
  sendemail-validate.sample 2.25 KB
  update.sample 3.56 KB
  index 1.39 KB
  info
  exclude 240 B
  refs 254 B
  logs
  HEAD 936 B
  refs
  heads
  main 204 B
  objects
  info
  commit-graph 1.26 KB
  packs 54 B
  pack
  pack-84b80996614175f21c9911a943e31a4f1ffd83d8.idx 1.79 KB
  pack-84b80996614175f21c9911a943e31a4f1ffd83d8.pack 9.06 KB
  pack-84b80996614175f21c9911a943e31a4f1ffd83d8.rev 160 B
  packed-refs 300 B
  gitignore 42 B
  issues
  ISSUE-001.md 842 B
  ISSUE-002.md 1.13 KB
  package.json 356 B
  src
  cli.js 2.37 KB
  index.js 279 B
  parser.js 2.01 KB
  report.js 1.45 KB
  tags.js 773 B
  tests
  cli.test.js 721 B
  parser.test.js 1.39 KB
  report.test.js 1.08 KB
  tags.test.js 461 B
  3 - Connect Gemini's Free API Tier
  11 - Choosing a provider that can run an agent.en_US.srt 4.22 KB
  11 - Choosing a provider that can run an agent.mp4 48.9 MB
  12 - Create a Google AI Studio API key.en_US.srt 4.23 KB
  12 - Create a Google AI Studio API key.mp4 46.19 MB
  13 - Configure Gemini in DeepSeek Harness.en_US.srt 2.8 KB
  13 - Configure Gemini in DeepSeek Harness.mp4 10.25 MB
  14 - Run your first tool-enabled session.en_US.srt 4.04 KB
  14 - Run your first tool-enabled session.mp4 45.81 MB
  15 - Gemini free-tier limits and privacy.en_US.srt 3.39 KB
  15 - Gemini free-tier limits and privacy.mp4 37.91 MB
  16 - Troubleshoot Gemini connections.en_US.srt 3.65 KB
  16 - Troubleshoot Gemini connections.mp4 37.19 MB
  Assignment Configure a free provider and inspect a repo without changing it.html 5.91 KB
  course-templates
  1-task-brief-template.md 1.79 KB
  2-trajectory-verification-checklist.md 2.09 KB
  3-provider-config-starters.md 2.64 KB
  4 - Add OpenRouter Free Models
  17 - Why add a second model provider.en_US.srt 3.29 KB
  17 - Why add a second model provider.mp4 14.16 MB
  18 - Create and secure an OpenRouter API key.en_US.srt 3.45 KB
  18 - Create and secure an OpenRouter API key.mp4 39.41 MB
  19 - Configure OpenRouter in DeepSeek Harness.en_US.srt 2.46 KB
  19 - Configure OpenRouter in DeepSeek Harness.mp4 22.3 MB
  2 - Provider configuration.html 26.41 KB
  20 - R3-free-model-list.pdf 139.97 KB
  20 - Select free coding-agent models.en_US.srt 3.29 KB
  20 - Select free coding-agent models.mp4 32.08 MB
  21 - Why not rely on automatic free routing.en_US.srt 3.31 KB
  21 - Why not rely on automatic free routing.mp4 38.78 MB
  22 - Run the same task with Gemini and OpenRouter.en_US.srt 3.54 KB
  22 - Run the same task with Gemini and OpenRouter.mp4 38.75 MB
  Assignment Run one task through two free models and compare them.html 5.92 KB
  5 - Core DeepSeek Harness Agent Workflows
  23 - Give the agent a precise coding objective.en_US.srt 3.67 KB
  23 - Give the agent a precise coding objective.mp4 43.03 MB
  24 - Repository exploration with read-only tools.en_US.srt 2.76 KB
  24 - Repository exploration with read-only tools.mp4 31.63 MB
  25 - Use Plan Mode before implementation.en_US.srt 2.96 KB
  25 - Use Plan Mode before implementation.mp4 36.29 MB
  26 - Approve controlled file modifications.en_US.srt 3.4 KB
  26 - Approve controlled file modifications.mp4 40.44 MB
  26 - R8-permission-checklist.pdf 118.17 KB
  27 - Run tests and collect evidence.en_US.srt 2.22 KB
  27 - Run tests and collect evidence.mp4 9.69 MB
  28 - Continue after a failed test.en_US.srt 3.67 KB
  28 - Continue after a failed test.mp4 41.54 MB
  29 - Inspect the complete trajectory.en_US.srt 3.42 KB
  29 - Inspect the complete trajectory.mp4 40.09 MB
  3 - Tool calls and trajectories.html 26.05 KB
  Assignment Fix a reported defect and prove the fix with a regression test.html 5.27 KB
  course-templates
  1-task-brief-template.md 1.79 KB
  2-trajectory-verification-checklist.md 2.09 KB
  3-provider-config-starters.md 2.64 KB
  6 - Instructions, Skills, Commands and Plugins
  30 - Persistent project instructions.en_US.srt 4.13 KB
  30 - Persistent project instructions.mp4 50.73 MB
  30 - R6-AGENTS-template.pdf 70.9 KB
  31 - Build a reusable repository-inspection skill.en_US.srt 3.64 KB
  31 - Build a reusable repository-inspection skill.mp4 46.74 MB
  32 - Create a custom command.en_US.srt 3.48 KB
  32 - Create a custom command.mp4 43.55 MB
  33 - Understand the plugin architecture.en_US.srt 3.33 KB
  33 - Understand the plugin architecture.mp4 37.91 MB
  34 - Build a simple custom tool.en_US.srt 3.23 KB
  34 - Build a simple custom tool.mp4 38.09 MB
  35 - Package and reuse the plugin.en_US.srt 2.98 KB
  35 - Package and reuse the plugin.mp4 34.03 MB
  4 - Plugins and reusable workflows.html 25.8 KB
  Assignment Build a project-audit tool and prove it is reusable.html 5.52 KB
  dsh-plugin-starter
  commands
  audit-project.md 1.03 KB
  package.json 248 B
  skills
  inspect-repository.md 1.46 KB
  src
  index.js 1.98 KB
  7 - Automation and Multi-Agent Workflows
  36 - When to use one agent or several.en_US.srt 3.25 KB
  36 - When to use one agent or several.mp4 40.9 MB
  37 - Delegate repository analysis to a child agent.en_US.srt 3.28 KB
  37 - Delegate repository analysis to a child agent.mp4 37.42 MB
  38 - Build an implementation-and-review workflow.en_US.srt 3.11 KB
  38 - Build an implementation-and-review workflow.mp4 35.8 MB
  39 - Run DeepSeek Harness in headless mode.en_US.srt 3.22 KB
  39 - Run DeepSeek Harness in headless mode.mp4 37.53 MB
  40 - Use the Python SDK.en_US.srt 3.43 KB
  40 - Use the Python SDK.mp4 40.48 MB
  41 - Design a repeatable maintenance workflow.en_US.srt 3.5 KB
  41 - Design a repeatable maintenance workflow.mp4 41.45 MB
  5 - Automation and multi-agent design.html 25.74 KB
  Assignment Run an implementation-and-review workflow against an unreported defect.html 10.86 KB
  8 - Capstone Repository Maintenance Agent
  42 - Capstone requirements and acceptance criteria.en_US.srt 2.96 KB
  42 - Capstone requirements and acceptance criteria.mp4 35.33 MB
  42 - R12-capstone-acceptance-criteria.pdf 109.27 KB
  43 - Phase 1 — Inspect and diagnose.en_US.srt 2.57 KB
  43 - Phase 1 — Inspect and diagnose.mp4 30.37 MB
  44 - Phase 2 — Implement under approval controls.en_US.srt 3.24 KB
  44 - Phase 2 — Implement under approval controls.mp4 39.7 MB
  45 - Phase 3 — Test and recover from failure.en_US.srt 3.02 KB
  45 - Phase 3 — Test and recover from failure.mp4 32.35 MB
  46 - Phase 4 — Produce an auditable completion report.en_US.srt 3.8 KB
  46 - Phase 4 — Produce an auditable completion report.mp4 46.78 MB
  Capstone Repository Maintenance Agent, issue intake to verified report.html 6.23 KB
  9 - Optional Run DeepSeek Harness Fully Locally
  47 - Cloud inference versus fully local inference.en_US.srt 3.4 KB
  47 - Cloud inference versus fully local inference.mp4 39.69 MB
  48 - Install and test Ollama.en_US.srt 2.2 KB
  48 - Install and test Ollama.mp4 26.4 MB
  49 - Connect Ollama to DeepSeek Harness.en_US.srt 3.99 KB
  49 - Connect Ollama to DeepSeek Harness.mp4 46.18 MB
  50 - Test a small local model.en_US.srt 3.93 KB
  50 - Test a small local model.mp4 46.27 MB
  51 - R15-local-model-compatibility.pdf 153.88 KB
  51 - Understand local-model limitations.en_US.srt 4.02 KB
  51 - Understand local-model limitations.mp4 47.87 MB
  6 - Quiz — Running locally and judging the result.html 26.34 KB
  Assignment Decide whether a local model is good enough, on evidence.html 8.71 KB

Description


Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Machine/Deep Learning, Neural Networks

DeepSeek Harness: Build AI Coding Agents with Free Models

Год выпуска: 9/2026
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/deepseek-harness-build-ai-coding-agents-with-free-models/
Автор: Dr. Amar Massoud
Продолжительность: 2h 12m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: This course teaches developers how to build and understand coding agents using DeepSeek Harness, an open-source, MIT-licensed agent harness where everything is a plugin. Unlike most AI coding courses that stop at basic setup, it ends with an agent that fixes a real defect and provides verifiable evidence. The entire course runs locally on ordinary hardware with free cloud models (Gemini's free API tier as primary, free OpenRouter models as backup), requiring no paid API key, GPU, or subscription. An optional section covers running a small model locally through Ollama for sensitive work.

The course's central focus is teaching the critical distinction between an agent that actually did the job and one that merely claims it did. Participants learn to read trajectories (actual model requests, tool arguments, responses, and commands), set permission modes that prevent unwanted writes, review diffs before approval, separate pre-existing test failures from newly caused ones, and require real test output instead of summaries. The capstone enforces this with an automatic-fail rule: claiming success without a recorded test run means failure, even if the code is correct. Learners build three projects and a capstone — a Repository Explorer, a Controlled Bug Fix, a Custom Project-Audit Tool, and a Repository Maintenance Agent — all against a small practice repository with zero dependencies and sixteen tests. The course is aimed at developers hitting paywalls on AI tools, junior and mid-level engineers, self-taught developers needing zero-cost experience, and technical leads who need to write sensible policy about what agents are allowed to touch.
[spoiler="Содержание"]
1 - DeepSeek Harness and the Free-Model Architecture
1 - Welcome and course outcome (03:15)
2 - Model versus agent versus harness (02:51)
3 - How the zero-cost architecture works (02:55)
4 - Developer preview, telemetry and safety (03:30)

2 - Install and Run DeepSeek Harness
5 - Development-environment requirements (02:44)
6 - Install Node.js and verify the environment (02:11)
7 - Start DeepSeek Harness with NPX (02:04)
8 - Create a safe practice workspace (02:06)
9 - Navigate the DeepSeek Harness Web UI (01:44)
10 - Diagnose installation and startup failures (02:37)

3 - Connect Gemini's Free API Tier
11 - Choosing a provider that can run an agent (03:01)
12 - Create a Google AI Studio API key (03:00)
13 - Configure Gemini in DeepSeek Harness (02:03)
14 - Run your first tool-enabled session (02:53)
15 - Gemini free-tier limits and privacy (02:24)
16 - Troubleshoot Gemini connections (02:38)

4 - Add OpenRouter Free Models
17 - Why add a second model provider (02:22)
18 - Create and secure an OpenRouter API key (02:34)
19 - Configure OpenRouter in DeepSeek Harness (01:49)
20 - Select free coding-agent models (02:22)
21 - Why not rely on automatic free routing (02:21)
22 - Run the same task with Gemini and OpenRouter (02:37)

5 - Core DeepSeek Harness Agent Workflows
23 - Give the agent a precise coding objective (02:37)
24 - Repository exploration with read-only tools (02:02)
25 - Use Plan Mode before implementation (02:14)
26 - Approve controlled file modifications (02:22)
27 - Run tests and collect evidence (01:42)
28 - Continue after a failed test (02:38)
29 - Inspect the complete trajectory (02:33)

6 - Instructions, Skills, Commands and Plugins
30 - Persistent project instructions (03:01)
31 - Build a reusable repository-inspection skill (02:43)
32 - Create a custom command (02:35)
33 - Understand the plugin architecture (02:30)
34 - Build a simple custom tool (02:21)
35 - Package and reuse the plugin (02:11)

7 - Automation and Multi-Agent Workflows
36 - When to use one agent or several (02:29)
37 - Delegate repository analysis to a child agent (02:21)
38 - Build an implementation-and-review workflow (02:15)
39 - Run DeepSeek Harness in headless mode (02:24)
40 - Use the Python SDK (02:31)
41 - Design a repeatable maintenance workflow (02:30)

8 - Capstone Repository Maintenance Agent
42 - Capstone requirements and acceptance criteria (02:11)
43 - Phase 1 — Inspect and diagnose (01:59)
44 - Phase 2 — Implement under approval controls (02:27)
45 - Phase 3 — Test and recover from failure (02:11)
46 - Phase 4 — Produce an auditable completion report (02:47)

9 - Optional Run DeepSeek Harness Fully Locally
47 - Cloud inference versus fully local inference (02:30)
48 - Install and test Ollama (01:40)
49 - Connect Ollama to DeepSeek Harness (02:49)
50 - Test a small local model (02:52)
51 - Understand local-model limitations (02:51)

10 - Course Completion and Continuing Updates
52 - Choose the right model route (01:54)
53 - Production-readiness checklist (01:44)
54 - Final challenge and next steps (02:24)
[/spoiler]
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1920x1080, 16:9, 30fps, 2130kbps
Аудио: AAC, 44.1Hz, 128kbps, stereo
[spoiler="Скриншоты"]

[/spoiler]

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