Unused Code Cleaner: The Claude Code Agent That Pays Down Technical Debt Automatically Dead code is a tax. Every unused import, orphaned function, and abandoned class is something the next developer has to read, reason about, and decide whether to trust. Over time, the accumulation becomes a real problem: longer build times, larger bundles, cognitive overhead that slows down onboarding, and refactors that are harder than they should be because nobody can tell what’s actually used. The frustrating part is that cleaning it up is rarely the bottleneck — finding it is. Manual dead code hunting across a 50,000-line codebase…
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Payment Integration Agent for Claude Code: Stop Reinventing the Checkout Wheel Every developer who has integrated a payment processor from scratch knows the drill. You start with the basics — charge a card, confirm the payment — and then reality sets in. Idempotency keys, webhook signature verification, subscription proration logic, dispute handling, failed payment retry strategies, PCI compliance checklists. What looked like a two-day task quietly becomes two weeks. Payment integrations are one of the highest-stakes areas in any codebase. A bug in your authentication layer might annoy users. A bug in your billing code costs real money, erodes customer…
React Performance Optimizer: The Claude Code Agent That Pays for Itself in the First Sprint Performance optimization in React is the kind of work that consistently gets scheduled and consistently gets deprioritized. You know the drill — a component rerenders 47 times on a single keystroke, your bundle is 4MB uncompressed, and Core Web Vitals are in the red, but the sprint is full of feature work. By the time someone allocates real time to fix it, the debt is substantial. The React Performance Optimizer agent for Claude Code changes the economics of this problem. Instead of requiring a senior…
ML Engineer Agent for Claude Code: Build Production ML Systems Without the Boilerplate Production ML engineering is brutal on developer time. You spend weeks stitching together data validation, feature stores, distributed training, model serving, drift detection, and retraining pipelines — and that’s before writing a single line of actual model code. The gap between a trained model and a production ML system is where projects go to die, and most teams reinvent the same infrastructure wheel every single time. The ML Engineer agent for Claude Code closes that gap. It acts as a senior ML engineer embedded in your workflow…
PHP Pro: The Claude Code Agent That Modernizes Your PHP Stack Without the Pain Every senior PHP developer knows the feeling: you inherit a Laravel project running PHP 7.4 patterns, mixed types scattered everywhere, no strict declarations, and a codebase that’s technically “working” but would fail any serious static analysis. Modernizing it yourself means weeks of careful refactoring, cross-referencing PHPStan output, hunting down type inconsistencies, and hoping you didn’t break anything. Then someone asks you to also add async job processing and improve test coverage to 80%+. This is exactly the kind of work that PHP Pro was built to…
Report Generator: The Claude Code Agent That Turns Raw Research Into Polished Reports Every developer who has done serious research work knows the pain. You’ve spent hours — sometimes days — gathering sources, cross-referencing data, synthesizing findings from a dozen different inputs. The research itself is done. But then comes the part that nobody talks about enough: turning all of that into something a human being can actually read, cite, and act on. This is where most workflows stall. The gap between “research complete” and “report delivered” is where time bleeds out. You’re wrestling with structure, agonizing over transitions, hunting…
Penetration Tester Agent for Claude Code: Automated Security Testing That Actually Exploits Vulnerabilities Most security tools tell you what might be vulnerable. The Penetration Tester agent for Claude Code tells you what is vulnerable — because it actually tries to exploit it. That distinction matters enormously when you’re trying to convince a board, satisfy an auditor, or validate that a critical patch actually holds under adversarial pressure. Manual penetration testing is expensive, time-consuming, and often blocked by scheduling constraints. Bringing in a third-party firm costs tens of thousands of dollars and takes weeks to schedule. Running a quick internal test…
Golang Pro: The Claude Code Agent That Thinks Like a Senior Go Engineer Go is deceptively simple to write but genuinely difficult to write well. The language’s minimalism means developers are constantly making architectural decisions that don’t have obvious answers: when to use channels versus mutexes, how to structure error wrapping, where to draw the line on goroutine lifecycle management, how to organize shared code across a monorepo. Getting these decisions wrong at the start of a project creates technical debt that compounds quickly at scale. The Golang Pro agent exists to close that gap. Instead of spending an hour…
Performance Profiler Agent: Stop Guessing, Start Measuring Performance bugs are some of the most expensive problems in software engineering. They’re subtle, they compound over time, and they’re notoriously hard to reproduce. A query that runs fine under development load can bring down production under real traffic. A memory leak that takes hours to manifest will still take down your service at 3am. Most developers know their application is slow — they just don’t know where or why. The Performance Profiler agent for Claude Code changes that equation. Instead of spending hours hunting through stack traces, guessing at algorithmic complexity, or…
Research Orchestrator: The Claude Code Agent That Turns Complex Research Into Structured Intelligence Research is expensive. Not in the monetary sense, but in the cognitive overhead it demands from developers who are already context-switching between implementation, architecture decisions, and debugging. When you need to understand how quantum computing threatens RSA encryption, or how AI safety frameworks are evolving, you’re not looking for a search engine. You need a systematic process: clarify the scope, generate the right questions, gather from multiple angles, synthesize contradictions, and produce something actionable. Without tooling, that process burns hours. The Research Orchestrator agent solves this by…