How to Write Technical Blog Posts That Get 100k Views Using Grammarly 2026 and Hemingway 5.0 for Developer Audiences

import os
import sys
import json
import requests
from typing import List, Dict, Optional

# Configuration constants for Grammarly 2026 Developer API
# Get your API key from https://grammarly.com/developer/2026
GRAMMARLY_API_KEY = os.getenv("GRAMMARLY_2026_API_KEY", "")
GRAMMARLY_ENDPOINT = "https://api.grammarly.com/v2026/check"
DEV_MODE_FLAG = "technical_blog"  # Enables code-aware checks for dev audiences

class GrammarlyDevChecker:
    def __init__(self, api_key: str):
        if not api_key:
            raise ValueError("Missing GRAMMARLY_2026_API_KEY environment variable")
        self.api_key = api_key
        self.session = requests.Session()
        self.session.headers.update({
            "Authorization": f"Bearer {self.api_key}",
            "Content-Type": "application/json",
            "X-Grammarly-Mode": DEV_MODE_FLAG  # Activates 2026 Dev Mode with code syntax awareness
        })

    def check_draft(self, draft_path: str) -> Optional[Dict]:
        """Check a markdown blog draft for grammar, readability, and dev-specific issues.

        Args:
            draft_path: Path to the markdown file containing the blog draft.

        Returns:
            Dictionary containing check results, or None if an error occurs.
        """
        try:
            with open(draft_path, "r", encoding="utf-8") as f:
                draft_content = f.read()
        except FileNotFoundError:
            print(f"Error: Draft file not found at {draft_path}", file=sys.stderr)
            return None
        except UnicodeDecodeError:
            print(f"Error: Could not decode draft file (must be UTF-8)", file=sys.stderr)
            return None

        payload = {
            "text": draft_content,
            "dialect": "american",
            "dev_context": {
                "audience": "senior_developers",
                "code_languages": ["python", "go", "rust"],
                "technical_terms": ["kubernetes", "grpc", "p99 latency"]
            }
        }

        try:
            response = self.session.post(GRAMMARLY_ENDPOINT, json=payload, timeout=30)
            response.raise_for_status()
        except requests.exceptions.Timeout:
            print("Error: Grammarly API request timed out after 30 seconds", file=sys.stderr)
            return None
        except requests.exceptions.HTTPError as e:
            print(f"Error: Grammarly API returned {response.status_code}: {e}", file=sys.stderr)
            return None
        except requests.exceptions.RequestException as e:
            print(f"Error: Failed to connect to Grammarly API: {e}", file=sys.stderr)
            return None

        return response.json()

    def print_report(self, results: Dict) -> None:
        """Print a human-readable report of check results."""
        if not results:
            return
        print("=== Grammarly 2026 Dev Mode Check Report ===")
        print(f"Total issues found: {results.get('total_issues', 0)}")
        print(f"Readability score (0-100): {results.get('readability_score', 'N/A')}")
        print(f"Dev-specific issues: {results.get('dev_issues', 0)}")
        print("
Top 5 issues:")
        for issue in results.get("issues", [])[:5]:
            print(f"  - Line {issue.get('line', '?')}: {issue.get('message', 'No message')}")
            print(f"    Suggestion: {issue.get('suggestion', 'No suggestion')}")

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: python grammarly_checker.py ", file=sys.stderr)
        sys.exit(1)

    draft_path = sys.argv[1]
    checker = GrammarlyDevChecker(GRAMMARLY_API_KEY)
    results = checker.check_draft(draft_path)
    if results:
        checker.print_report(results)
        output_path = f"{os.path.splitext(draft_path)[0]}_grammarly_report.json"
        with open(output_path, "w", encoding="utf-8") as f:
            json.dump(results, f, indent=2)
        print(f"
Full report saved to {output_path}")
    else:
        sys.exit(1)

import os
import sys
import json
import re
import subprocess
from typing import List, Dict, Optional

# Path to Hemingway 5.0 CLI - adjust for your installation
# Download from https://hemingwayapp.com/5.0/cli
HEMINGWAY_CLI_PATH = os.getenv("HEMINGWAY_CLI_PATH", "/usr/local/bin/hemingway5")
CODE_READABILITY_WEIGHT = 0.4

class Hemingway5Analyzer:
    def __init__(self, cli_path: str):
        if not os.path.exists(cli_path):
            raise FileNotFoundError(f"Hemingway 5.0 CLI not found at {cli_path}")
        self.cli_path = cli_path

    def analyze_draft(self, draft_path: str) -> Optional[Dict]:
        """Run Hemingway 5.0 analysis on a markdown blog draft."""
        if not os.path.exists(draft_path):
            print(f"Error: Draft file not found at {draft_path}", file=sys.stderr)
            return None

        cmd = [
            self.cli_path,
            "--format", "json",
            "--dev-mode",
            "--code-lang", "python,go,rust",
            draft_path
        ]

        try:
            result = subprocess.run(
                cmd,
                capture_output=True,
                text=True,
                timeout=60
            )
            result.check_returncode()
        except subprocess.TimeoutExpired:
            print("Error: Hemingway 5.0 analysis timed out after 60 seconds", file=sys.stderr)
            return None
        except subprocess.CalledProcessError as e:
            print(f"Error: Hemingway CLI returned non-zero exit code {e.returncode}", file=sys.stderr)
            print(f"Stderr: {e.stderr}", file=sys.stderr)
            return None
        except FileNotFoundError:
            print(f"Error: Hemingway CLI not found at {self.cli_path}", file=sys.stderr)
            return None

        try:
            analysis = json.loads(result.stdout)
        except json.JSONDecodeError:
            print("Error: Could not parse Hemingway JSON output", file=sys.stderr)
            return None

        base_score = analysis.get("readability_score", 0)
        code_score = analysis.get("code_readability_score", 0)
        adjusted_score = (base_score * (1 - CODE_READABILITY_WEIGHT)) + (code_score * CODE_READABILITY_WEIGHT)
        analysis["adjusted_dev_score"] = round(adjusted_score, 1)
        analysis["draft_path"] = draft_path

        return analysis

    def print_report(self, analysis: Dict) -> None:
        """Print a human-readable report of Hemingway analysis."""
        if not analysis:
            return
        print("=== Hemingway 5.0 Dev Mode Analysis Report ===")
        print(f"Draft path: {analysis.get('draft_path', 'N/A')}")
        print(f"Base readability score (0-100): {analysis.get('readability_score', 'N/A')}")
        print(f"Code readability score (0-100): {analysis.get('code_readability_score', 'N/A')}")
        print(f"Adjusted dev audience score: {analysis.get('adjusted_dev_score', 'N/A')}")
        print(f"Total issues: {analysis.get('total_issues', 0)}")
        print("
Issue breakdown:")
        for issue_type, count in analysis.get("issue_counts", {}).items():
            print(f"  - {issue_type}: {count}")
        print("
Top 3 complex sentences:")
        for sentence in analysis.get("complex_sentences", [])[:3]:
            print(f"  - {sentence.get('text', '?')[:80]}...")
            print(f"    Line: {sentence.get('line', '?')}, Grade level: {sentence.get('grade_level', '?')}")

if __name__ == "__main__":
    if len(sys.argv) != 2:
        print("Usage: python hemingway_analyzer.py ", file=sys.stderr)
        sys.exit(1)

    draft_path = sys.argv[1]
    try:
        analyzer = Hemingway5Analyzer(HEMINGWAY_CLI_PATH)
    except FileNotFoundError as e:
        print(f"Error: {e}", file=sys.stderr)
        sys.exit(1)

    analysis = analyzer.analyze_draft(draft_path)
    if analysis:
        analyzer.print_report(analysis)
        output_path = f"{os.path.splitext(draft_path)[0]}_hemingway_report.json"
        with open(output_path, "w", encoding="utf-8") as f:
            json.dump(analysis, f, indent=2)
        print(f"
Full report saved to {output_path}")
    else:
        sys.exit(1)

import os
import sys
import json
from typing import List, Dict, Optional
from dataclasses import dataclass

MIN_GRAMMARLY_READABILITY = 82
MIN_HEMINGWAY_DEV_SCORE = 78
MAX_GRAMMARLY_ISSUES = 5
MAX_COMPLEX_SENTENCES = 3

@dataclass
class PostMetrics:
    grammarly_score: float
    hemingway_dev_score: float
    total_issues: int
    complex_sentences: int
    word_count: int

class PostOptimizer:
    def __init__(self, grammarly_report: str, hemingway_report: str):
        self.grammarly_report = grammarly_report
        self.hemingway_report = hemingway_report
        self.metrics: Optional[PostMetrics] = None

    def load_reports(self) -> bool:
        try:
            with open(self.grammarly_report, "r", encoding="utf-8") as f:
                self.grammarly_data = json.load(f)
        except FileNotFoundError:
            print(f"Error: Grammarly report not found at {self.grammarly_report}", file=sys.stderr)
            return False
        except json.JSONDecodeError:
            print(f"Error: Invalid JSON in Grammarly report", file=sys.stderr)
            return False

        try:
            with open(self.hemingway_report, "r", encoding="utf-8") as f:
                self.hemingway_data = json.load(f)
        except FileNotFoundError:
            print(f"Error: Hemingway report not found at {self.hemingway_report}", file=sys.stderr)
            return False
        except json.JSONDecodeError:
            print(f"Error: Invalid JSON in Hemingway report", file=sys.stderr)
            return False

        return True

    def calculate_metrics(self) -> PostMetrics:
        grammarly_score = self.grammarly_data.get("readability_score", 0)
        hemingway_dev_score = self.hemingway_data.get("adjusted_dev_score", 0)
        total_issues = (
            self.grammarly_data.get("total_issues", 0) +
            self.hemingway_data.get("total_issues", 0)
        )
        complex_sentences = len(self.hemingway_data.get("complex_sentences", []))
        word_count = self.hemingway_data.get("word_count", 0)

        self.metrics = PostMetrics(
            grammarly_score=grammarly_score,
            hemingway_dev_score=hemingway_dev_score,
            total_issues=total_issues,
            complex_sentences=complex_sentences,
            word_count=word_count
        )
        return self.metrics

    def generate_checklist(self) -> List[str]:
        if not self.metrics:
            raise ValueError("Metrics not calculated. Run calculate_metrics first.")

        checklist = []
        if self.metrics.grammarly_score < MIN_GRAMMARLY_READABILITY:
            checklist.append(
                f"Grammarly readability score ({self.metrics.grammarly_score}) is below benchmark ({MIN_GRAMMARLY_READABILITY}). Simplify technical explanations, reduce passive voice."
            )
        if self.metrics.hemingway_dev_score < MIN_HEMINGWAY_DEV_SCORE:
            checklist.append(
                f"Hemingway dev score ({self.metrics.hemingway_dev_score}) is below benchmark ({MIN_HEMINGWAY_DEV_SCORE}). Break up complex sentences, add more code comments."
            )
        if self.metrics.total_issues > MAX_GRAMMARLY_ISSUES:
            checklist.append(
                f"Total unresolved issues ({self.metrics.total_issues}) exceed benchmark ({MAX_GRAMMARLY_ISSUES}). Fix all grammar and readability issues before publishing."
            )
        if self.metrics.word_count > 0:
            complex_per_1k = (self.metrics.complex_sentences / self.metrics.word_count) * 1000
            if complex_per_1k > MAX_COMPLEX_SENTENCES:
                checklist.append(
                    f"Complex sentences per 1000 words ({complex_per_1k:.1f}) exceed benchmark ({MAX_COMPLEX_SENTENCES}). Split long sentences, use bullet points for technical steps."
                )
        if not checklist:
            checklist.append("All metrics meet 100k-view post benchmarks. Ready to publish!")

        return checklist

    def print_summary(self) -> None:
        if not self.metrics:
            return
        print("=== 100k-View Post Optimization Summary ===")
        print(f"Word count: {self.metrics.word_count}")
        print(f"Grammarly readability: {self.metrics.grammarly_score}/100 (Benchmark: {MIN_GRAMMARLY_READABILITY})")
        print(f"Hemingway dev score: {self.metrics.hemingway_dev_score}/100 (Benchmark: {MIN_HEMINGWAY_DEV_SCORE})")
        print(f"Total issues: {self.metrics.total_issues} (Benchmark: <{MAX_GRAMMARLY_ISSUES})")
        print(f"Complex sentences: {self.metrics.complex_sentences}")
        print("
Editing Checklist:")
        for i, item in enumerate(self.generate_checklist(), 1):
            print(f"{i}. {item}")

if __name__ == "__main__":
    if len(sys.argv) != 3:
        print("Usage: python post_optimizer.py  ", file=sys.stderr)
        sys.exit(1)

    grammarly_report = sys.argv[1]
    hemingway_report = sys.argv[2]

    optimizer = PostOptimizer(grammarly_report, hemingway_report)
    if not optimizer.load_reports():
        sys.exit(1)

    optimizer.calculate_metrics()
    optimizer.print_summary()

payload = {
    "text": draft_content,
    "dialect": "american",
    "dev_context": {
        "audience": "senior_developers",
        "code_languages": ["python", "go", "rust"],
        "technical_terms": ["kubernetes", "grpc", "p99 latency", "SLO", "Hugo", "Prometheus"]
    }
}

base_score = analysis.get("readability_score", 0)
code_score = analysis.get("code_readability_score", 0)
adjusted_score = (base_score * 0.6) + (code_score * 0.4)
analysis["adjusted_dev_score"] = round(adjusted_score, 1)

name: Blog Readability Check
on:
  pull_request:
    paths:
      - 'content/drafts/**/*.md'
jobs:
  check-readability:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: '3.12'
      - name: Install dependencies
        run: pip install requests
      - name: Run Grammarly check
        run: python grammarly_checker.py ${{ github.workspace }}/content/drafts/${{ github.event.pull_request.title }}.md
        env:
          GRAMMARLY_2026_API_KEY: ${{ secrets.GRAMMARLY_API_KEY }}
      - name: Run Hemingway check
        run: python hemingway_analyzer.py ${{ github.workspace }}/content/drafts/${{ github.event.pull_request.title }}.md
      - name: Run optimizer and post checklist
        run: python post_optimizer.py grammarly_report.json hemingway_report.json

dev-blog-100k-workflow/
├── LICENSE
├── README.md
├── requirements.txt
├── scripts/
│   ├── grammarly_checker.py       # Grammarly 2026 API integration
│   ├── hemingway_analyzer.py      # Hemingway 5.0 CLI integration
│   └── post_optimizer.py          # Combined metrics and checklist generator
├── .github/
│   └── workflows/
│       └── blog-readability.yml   # GitHub Actions CI pipeline
└── examples/
    ├── sample-draft.md            # Example blog draft
    ├── sample-grammarly-report.json
    └── sample-hemingway-report.json