SShortSingh.
Back to feed

Open-Source Script Uses Free AI Tokens to Automate C++ Test Coverage

0
·2 views

A developer has published an open-source Python script called MonkeyCode that uses free AI model access to automatically generate C++ unit tests and iteratively improve code coverage. The tool sends a C++ header file to an AI model, compiles and runs the resulting tests, then measures coverage using gcov. Any uncovered lines are fed back to the model as a hint, and the loop repeats until coverage plateaus or hits a target threshold. In a sample run, the script pushed coverage from 42% to 91% across four iterations by progressively catching edge cases like empty strings and null-byte handling. The author cautions that AI-generated tests should not be trusted for safety-critical code, describing the tool as a feedback-driven test generator rather than a replacement for a human test engineer.

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)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Why Engineers Should Build Commercial Awareness Alongside Technical Skills

A full-stack and AI systems engineer attended 21BY72 Season 4, a major Indian startup summit, where 85 ventures pitched live to around 600 investors. The experience highlighted that technology alone is a means to a business end, and engineers who grasp commercial context make sharper architectural and product decisions. Watching founders be judged on whether they solved a paying customer's problem — not on technical cleverness — reframed how the author thinks about engineering priorities. Understanding business constraints such as cost, speed to market, and customer identity was shown to improve trade-offs rather than distract from technical work. The author argues that pairing technical depth with commercial awareness is what separates well-rounded engineers from those who hit an early career ceiling.

0
ProgrammingDEV Community ·

Developer builds Mac sleep tool that auto-recovers under battery and thermal stress

A developer has created Afterlid, a macOS utility that manages system sleep across three distinct states: normal sleep, open-lid awake, and closed-lid always-on mode. Unlike the built-in caffeinate command, Afterlid specifically handles the closed-lid scenario using a privileged helper and an undocumented macOS sleep setting. The tool automatically drops its wake assertion and restores default sleep behaviour when the battery falls below 30 percent while unplugged, thermal pressure becomes critical, or eight hours have elapsed. The developer emphasised that robust recovery logic — not just activation — is the core engineering challenge in building system utilities. Because the implementation relies on undocumented macOS internals, the developer stresses the importance of thorough hardware testing and transparent release notes.

0
ProgrammingDEV Community ·

Free API lets developers verify Polish company VAT status and bank accounts in code

A developer has released skanfirmy.pl, a free REST API that consolidates Polish business verification data from four government sources: the Ministry of Finance, the KRS court register, GUS statistics office, and the EU VIES service. The tool allows developers to check a company's VAT status, confirm bank accounts against the official government white list, and validate EU VAT numbers via simple HTTP GET requests returning JSON. A Python code example is provided, with a note that VAT status strings are returned in Polish and must be compared in their original form to avoid silent logic errors. The API also includes an MCP server with nine tools for AI agent integration, supporting JSON-RPC 2.0 over POST with no API key required. A monitoring endpoint is available that performs daily diffs and delivers HMAC-signed webhook alerts when a company's VAT status or white-list accounts change.

0
ProgrammingDEV Community ·

Engineer reflects on finishing top 12 at GDSC DevJams 2024 with voice-control project

A software engineer led team SYNTAX TERMINATOR to a top-12 finish among over 250 teams at GDSC DevJams 2024 by building a voice-controlled home system within the hackathon's time limit. The experience highlighted how tight deadlines force engineers to prioritize ruthlessly and identify the smallest viable proof of an idea. The author argues that knowing what to leave out under time pressure is a more advanced skill than knowing what to include. Integration of components was identified as a critical and often underestimated phase that can determine a team's success or failure. The engineer concludes that decisiveness, scoping discipline, and reliable delivery under pressure are skills that translate directly to professional software development.