On March 26, 2026, I sat down and added 34 distinct features to ModernGrindTech.com in a single working session. Not 34 bug fixes. Not 34 copy edits. 34 features: an interactive CLI terminal, a tech stack quiz, an ROI calculator, architecture diagrams, keyboard shortcuts, easter eggs, and 28 more. 14 commits. 12,600 lines of code. 126 total pages when the session ended. This post is the full accounting of what was built, why each feature exists, and how parallel agents made the volume possible.
The Strategy: Every Feature Has a Job
I did not add 34 features because 34 is an impressive number. Each one was placed deliberately in the conversion funnel. A portfolio site has one goal: convince a visitor that you can build what they need. Every feature on the site either demonstrates capability, builds trust, or reduces friction between "this looks good" and "let me reach out."
The features break into four categories:
- Proof of skill: Interactive terminal, architecture diagrams, tech stack visualizations. These show technical depth without requiring the visitor to read a case study.
- Engagement hooks: Quiz, easter eggs, keyboard shortcuts. These keep visitors on the site longer and give them something to share.
- Conversion tools: ROI calculator, project estimator, comparison pages. These do actual math for the visitor and pre-qualify leads before they ever fill out a contact form.
- Trust signals: Blog posts, build logs, open metrics. These prove the work is real and the process is transparent.
Every feature maps to one of these categories. Nothing was added for decoration.
The Process: Parallel Agents at Scale
Building 34 features in one session is not possible with a linear workflow. Write feature, test, commit, repeat 34 times. At 30 minutes per feature, that is 17 hours. Nobody has a productive 17-hour coding session.
Parallel agents change the math. I dispatched 10 Claude Code agents simultaneously, each with a focused task and the relevant skill loaded. While agent 1 builds the terminal component, agent 2 is writing the quiz logic, agent 3 is generating the ROI calculator, and agents 4 through 10 are each working on their own independent feature. When an agent finishes, I review the output, merge it, and dispatch the next task. The wall-clock time per feature drops from 30 minutes to about 8 minutes because 10 features are progressing simultaneously.
The session ran in waves. Each wave had 8 to 10 parallel tasks. Four waves covered all 34 features. The total session was about 5 hours of wall-clock time. That is 34 features at roughly 9 minutes each, including review and merge time. Read the parallel agents deep dive for the full breakdown of how this workflow operates.
Wave 1: Interactive Tools
The first wave focused on the features with the highest conversion impact.
The CLI Terminal (/terminal): A fully functional command-line interface built as a React component. Visitors can type commands like help, projects, skills, contact, and about to navigate the site through a terminal interface. It supports command history (arrow keys), tab completion, and even a sudo hire-david command that redirects to the contact page. This is not a gimmick. It is a direct demonstration of frontend engineering skill. When a technical decision-maker visits the site and sees a working terminal with proper input handling, history management, and contextual output, they learn more about my capabilities in 30 seconds than they would from reading three paragraphs of marketing copy.
The Tech Stack Quiz (/quiz): An interactive quiz that asks visitors about their project requirements and recommends a tech stack. It covers frontend framework, backend architecture, database selection, deployment strategy, and authentication approach. Each recommendation includes a brief explanation of why that technology fits the described requirements. The quiz serves two purposes: it demonstrates that I think systematically about technology selection (not just "I use React for everything"), and it pre-educates the client so the discovery call is more productive.
The ROI Calculator (/roi): A tool that compares agency pricing to MGT fixed pricing for a given project scope. The visitor inputs their project type, complexity, and any agency quotes they have received. The calculator shows a side-by-side breakdown of costs including discovery, PM overhead, QA, and revision rounds. It uses the same pricing tiers I use for real engagements. The numbers are honest. If a project genuinely needs an agency-scale team, the calculator says so.
Wave 2: Visual and Architectural Content
Architecture Diagrams: Every case study page now includes an architecture diagram showing the system topology. Not a Figma mockup. A technical diagram showing services, databases, API boundaries, and data flow. These are built as SVG components, not static images, so they render crisply at any resolution and can be updated without regenerating assets.
Tech Stack Visualizations: Interactive breakdowns of the technology stack for each project. Hover over a technology to see why it was chosen and what alternatives were considered. This turns the portfolio from "I used React and PostgreSQL" into "I chose React over Vue for this specific reason, and PostgreSQL over MongoDB for this specific data model requirement."
The Comparison Page (/compare): A detailed comparison between hiring MGT, hiring an agency, hiring a freelancer on Upwork, and building in-house. Four columns covering cost, timeline, communication, code ownership, maintenance, and 10 other factors. Each cell has real data behind it, not marketing superlatives.
Wave 3: Engagement and Retention Features
Easter Eggs: The Konami code (up, up, down, down, left, right, left, right, B, A) triggers a Matrix-style rain effect across the entire page. There is a keyboard shortcut (Ctrl+Shift+H) that opens a "hire me" modal with a direct link to the contact form. The terminal has hidden commands that reveal stats about the build process. These features exist because they are shareable. A visitor who discovers the Konami code is going to tell someone about it. That is organic reach that no testimonial carousel generates.
Keyboard Navigation: Full keyboard shortcut support across the site. Press ? on any page to see available shortcuts. G then H goes home. G then B goes to blog. G then C goes to contact. This is an accessibility feature and an engagement feature simultaneously. Power users (developers evaluating the site) navigate faster. Accessibility-conscious visitors see that keyboard navigation is a first-class concern.
Blog Enhancements: Reading progress bar, estimated reading time, table of contents for long posts, reaction buttons, and related post suggestions. Each of these features increases time on site and reduces bounce rate. The reading progress bar alone changes visitor behavior because it creates a completion incentive. People who see they are 70% through a post are more likely to finish it than people who have no sense of their position.
Wave 4: Content and Polish
The final wave focused on content generation and polish. Six new blog posts written in parallel. Updated case study pages with the new architecture diagrams. Performance optimization pass on all new components. Lighthouse audit to verify scores stayed at 100/100/100 after adding 34 features and 12,600 lines of code.
That last point matters. Adding features usually degrades performance. The JavaScript bundle grows, new network requests appear, layout shifts creep in. Every new component was built with performance constraints from the start: lazy loading for below-fold content, proper image sizing, minimal client-side JavaScript. The Lighthouse scores after the session were identical to the scores before it.
The Numbers
- Features added: 34
- Commits: 14
- Lines of code: 12,600
- Total pages: 126 (up from 92)
- Session duration: approximately 5 hours wall-clock
- Lighthouse after: 100 / 100 / 100
- Broken tests after: 0
This is what a modern solo dev workflow looks like when the tooling is dialed in. Not heroic effort. Not an all-nighter. A systematic process of parallel execution, focused agents, and aggressive review loops. Five hours of work that would have taken a traditional team 2 to 3 weeks of calendar time.
Try the Features Yourself
Everything described in this post is live on the site right now. Open the terminal and type help. Take the tech stack quiz. Run your project through the ROI calculator. Try the Konami code on the homepage. Press ? to see the keyboard shortcuts.
If you want this level of output applied to your project, book a discovery call. Same process, same tooling, same pace. Your project instead of mine.