technical-blog-writing（技术博客写作）

Technical Blog Writing

Write developer-focused technical blog posts via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Research topic depth
infsh app run exa/search --input '{
  "query": "building REST API Node.js best practices 2024 tutorial"
}'

# Generate header image
infsh app run infsh/html-to-image --input '{
  "html": "<div style=\"width:1200px;height:630px;background:linear-gradient(135deg,#0f172a,#1e293b);display:flex;align-items:center;padding:60px;font-family:ui-monospace,monospace;color:white\"><div><p style=\"font-size:18px;color:#38bdf8;margin:0\">// engineering blog</p><h1 style=\"font-size:48px;margin:16px 0;font-weight:800;font-family:system-ui;line-height:1.2\">How We Reduced API Latency by 90% with Edge Caching</h1><p style=\"font-size:20px;opacity:0.6;font-family:system-ui\">A deep dive into our CDN architecture</p></div></div>"
}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

Post Types

1. Tutorial / How-To

Step-by-step instruction. The reader should be able to follow along and build something.

Structure:
1. What we're building (with screenshot/demo)
2. Prerequisites
3. Step 1: Setup
4. Step 2: Core implementation
5. Step 3: ...
6. Complete code (GitHub link)
7. Next steps / extensions

2. Deep Dive / Explainer

Explains a concept, technology, or architecture decision in depth.

Structure:
1. What is [concept] and why should you care?
2. How it works (simplified mental model)
3. How it works (detailed mechanics)
4. Real-world example
5. Trade-offs and when NOT to use it
6. Further reading

3. Postmortem / Incident Report

Describes what went wrong, why, and what was fixed.

Structure:
1. Summary (what happened, impact, duration)
2. Timeline of events
3. Root cause analysis
4. Fix implemented
5. What we're doing to prevent recurrence
6. Lessons learned

4. Benchmark / Comparison

Data-driven comparison of tools, approaches, or architectures.

Structure:
1. What we compared and why
2. Methodology (so results are reproducible)
3. Results with charts/tables
4. Analysis (what the numbers mean)
5. Recommendation (with caveats)
6. Raw data / reproducibility instructions

5. Architecture / System Design

Explains how a system is built and why decisions were made.

Structure:
1. Problem we needed to solve
2. Constraints and requirements
3. Options considered
4. Architecture chosen (with diagram)
5. Trade-offs we accepted
6. Results and lessons

Writing Rules for Developers

Voice and Tone

What Developers Hate

❌ "In today's fast-paced world of technology..." (filler)
❌ "As we all know..." (if we all know, why are you writing it?)
❌ "Simply do X" (nothing is simple if you're reading a tutorial)
❌ "It's easy to..." (dismissive of reader's experience)
❌ "Obviously..." (if it's obvious, don't write it)
❌ Marketing language in technical content
❌ Burying the lede under 3 paragraphs of context

Code Examples

Good code block format:

What this code does (one line)

def calculate_retry_delay(attempt: int, base_delay: float = 1.0) -> float: """Exponential backoff with jitter.""" delay = base_delay * (2 ** attempt) jitter = random.uniform(0, delay * 0.1) return delay + jitter

Usage

delay = calculate_retry_delay(attempt=3) # ~8.0-8.8 seconds

Explanation Depth

State your assumed audience level explicitly at the start:

"This post assumes familiarity with Docker and basic Kubernetes concepts.
If you're new to containers, start with [our intro post]."

Blog Post Structure

The Ideal Structure

# Title (contains primary keyword, states outcome)

[Hero image or diagram]

**TL;DR:** [2-3 sentence summary with key takeaway]

## The Problem / Why This Matters
[Set up why the reader should care — specific, not generic]

## The Solution / How We Did It
[Core content — code, architecture, explanation]

### Step 1: [First thing]
[Explanation + code + output]

### Step 2: [Second thing]
[Explanation + code + output]

## Results
[Numbers, benchmarks, outcomes — be specific]

## Trade-offs and Limitations
[Honest about downsides — builds trust]

## Conclusion
[Key takeaway + what to do next]

## Further Reading
[3-5 relevant links]

Word Count by Type

Diagrams and Visuals

When to Use Diagrams

# Generate architecture diagram
infsh app run infsh/html-to-image --input '{
  "html": "<div style=\"width:1200px;height:600px;background:#0f172a;display:flex;align-items:center;justify-content:center;padding:40px;font-family:system-ui;color:white\"><div style=\"display:flex;gap:40px;align-items:center\"><div style=\"background:#1e293b;border:2px solid #334155;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">Client</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">React App</p></div><div style=\"color:#64748b;font-size:32px\">→</div><div style=\"background:#1e293b;border:2px solid #3b82f6;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">Edge</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">CDN Cache</p></div><div style=\"color:#64748b;font-size:32px\">→</div><div style=\"background:#1e293b;border:2px solid #334155;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">API</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">Node.js</p></div><div style=\"color:#64748b;font-size:32px\">→</div><div style=\"background:#1e293b;border:2px solid #334155;border-radius:8px;padding:24px;text-align:center;width:160px\"><p style=\"font-size:14px;color:#94a3b8;margin:0\">Database</p><p style=\"font-size:18px;font-weight:bold;margin:8px 0 0\">PostgreSQL</p></div></div></div>"
}'

# Generate benchmark chart
infsh app run infsh/python-executor --input '{
  "code": "import matplotlib.pyplot as plt\
import matplotlib\
matplotlib.use(\"Agg\")\
\
fig, ax = plt.subplots(figsize=(12, 6))\
fig.patch.set_facecolor(\"#0f172a\")\
ax.set_facecolor(\"#0f172a\")\
\
tools = [\"Express\", \"Fastify\", \"Hono\", \"Elysia\"]\
rps = [15000, 45000, 62000, 78000]\
colors = [\"#64748b\", \"#64748b\", \"#3b82f6\", \"#64748b\"]\
\
ax.barh(tools, rps, color=colors, height=0.5)\
for i, v in enumerate(rps):\
    ax.text(v + 1000, i, f\"{v:,} req/s\", va=\"center\", color=\"white\", fontsize=14)\
\
ax.set_xlabel(\"Requests per second\", color=\"white\", fontsize=14)\
ax.set_title(\"HTTP Framework Benchmark (Hello World)\", color=\"white\", fontsize=18, fontweight=\"bold\")\
ax.tick_params(colors=\"white\", labelsize=12)\
ax.spines[\"top\"].set_visible(False)\
ax.spines[\"right\"].set_visible(False)\
ax.spines[\"bottom\"].set_color(\"#334155\")\
ax.spines[\"left\"].set_color(\"#334155\")\
plt.tight_layout()\
plt.savefig(\"benchmark.png\", dpi=150, facecolor=\"#0f172a\")\
print(\"Saved\")"
}'

Distribution

Where Developers Read

# Cross-post thread to X
infsh app run x/post-create --input '{
  "text": "New blog post: How We Reduced API Latency by 90%\
\
The short version:\
→ Moved computation to edge\
→ Aggressive cache-control headers\
→ Eliminated N+1 queries\
\
p99 went from 800ms to 90ms.\
\
Full deep dive with code: [link]"
}'

Common Mistakes

Related Skills

npx skills add inference-sh/skills@seo-content-brief
npx skills add inference-sh/skills@content-repurposing
npx skills add inference-sh/skills@og-image-design

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