How to Safely Refactor Messy Code One Small Step at a Time

·1 views

Large-scale code rewrites often introduce bugs, making incremental refactoring a safer alternative for developers. The recommended approach involves first locking existing behavior using characterization tests, which capture current outputs before any code is changed. Mutation testing tools like Stryker are then used to expose gaps in test coverage by deliberately introducing small code errors and checking whether tests catch them. Once behavior is fully pinned, individual logical blocks — such as coupon logic in a pricing function — are extracted one at a time, with tests re-run after each change to detect unintended behavioral drift. This step-by-step method gives developers precise visibility into what changed and why, reducing the risk of shipping regressions.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

USPTO Replaced TESS With New Trademark Search Tool in 2023: What Founders Should Know

The US Patent and Trademark Office retired its longtime Trademark Electronic Search System (TESS) on November 30, 2023, replacing it with a new cloud-based tool called Trademark Search, accessible at tmsearch.uspto.gov. The free platform requires no account and offers both a simple search box and an advanced query builder with wildcards and Boolean operators. Founders checking startup names should search exact spellings, close variants, and phonetic equivalents, then filter results by trademark status and the relevant Nice Classification class out of 45 total. A clean federal search result does not guarantee full clearance, as common-law rights from unregistered use, state-level registrations, and related-goods conflicts can still pose legal risks. For complete protection, experts recommend a formal clearance search beyond the USPTO database.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

NoWreck v0.13.0 Adds CI/CD Integration With SARIF and JUnit XML Output

NoWreck, a deterministic verifier for AI-generated code-change claims, has released version 0.13.0 with expanded CI/CD pipeline support. The tool works by comparing AI-described code changes against structural evidence from actual repository snapshots, without consulting another AI for validation. Version 0.13.0 introduces SARIF v2.1.0 output compatible with GitHub Code Scanning, SonarQube, and CodeQL, alongside JUnit XML output for Jenkins, GitLab CI, and Azure Pipelines. A new --format flag standardises output selection, replacing the deprecated --json flag, while a new --compare flag enables automated git-based comparisons using commit hashes, branch names, or tags. The release is scheduled for August 2026 and defines 15 SARIF rules covering contradicted claims, unverifiable assertions, and unexplained changes.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Strong Engineering Fundamentals Matter More in the Age of AI, Experts Argue

As AI tools grow capable of generating entire codebases from a single prompt, a debate is emerging about what software engineers truly need to know. While AI can scaffold APIs, write tests, and refactor code within seconds, it cannot resolve the deeper complexity that surfaces when systems fail in production. Engineers who lack grounding in areas such as databases, networking, concurrency, and algorithms risk becoming dependent on AI rather than empowered by it. Fundamentals are described as essential not for writing code, but for reasoning through failures, evaluating AI-generated solutions, and understanding what the code actually does. The argument positions AI as another abstraction layer in a long history of developer tools — one that is only safe to rely on when the engineer understands what lies beneath it.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Indie Dev Seeks Beta Testers for AI Launch Copy Tool That Aims to Sound Human

A developer has built LaunchCraft, a tool that generates platform-specific launch copy — including landing pages, Product Hunt posts, Reddit threads, and X threads — from a single product description. The core challenge the creator wants testers to evaluate is whether the output reads as human-written, since AI-sounding copy tends to be ignored or downvoted on platforms like Reddit and Product Hunt. Built on FastAPI with an open model backend and a rules engine modeled on real launch post structures, the tool is currently in free beta at launchcraft.io. The developer is inviting users to test it with a real project and provide candid feedback on which parts still sound robotic. Testers are also asked whether the tool would be worth a potential $9 monthly subscription.

0 comments Read more at DEV Community