TestingCatalog News’ Post

If you’re into AI-powered software development, you should definitely check this out I came across this awesome curated list of AI developer tools that cover everything from code completion and debugging to app/UI generators and testing: 🔹 IDEs & IDE extensions 🔹 Git clients 🔹 Web-based tools 🔹 Command-line & shell assistants 🔹 Agents & PR assistants 🔹 Documentation tools 🔹 OpenAI plugins …and much more! A big shoutout to James Murdza for putting this together, it’s a goldmine for developers looking to leverage AI in their workflow. Check it out here: https://lnkd.in/dnf4WW22

Exciting News: Jules API Now Available 🎉 We're thrilled to announce that the Jules API is now available, enabling developers to programmatically integrate Jules's AI capabilities into their workflows. What you can build: -> ChatOps integrations with Slack - assign coding tasks directly from chat -> Automated bug fixing connected to Linear, Jira, or your PM tools -> CI/CD pipeline enhancements in GitHub Actions -> Custom automation for code reviews and feature development Getting Started: The API uses simple REST endpoints with API key authentication. Create sessions, interact with the agent, and automate your entire software development lifecycle. Example use case: Automatically create a Jules session when a bug is filed in Linear, let Jules fix it, and have the PR ready for review - all without manual intervention. Note: The API is currently in alpha as we work toward stabilization. Ready to automate your development workflow? Check out the documentation: https://lnkd.in/gWN3B6cJ #SoftwareEngineering #DevOps #AIforDevelopers #Automation #APIs

“When ‘Almost Done" Becomes a Developer’s Favorite Lie” Every developer has said it. “It’s almost done.” It’s that magical phrase that somehow means everything — and nothing — at once. "Almost done” is never about laziness. It’s about the invisible work that happens after the visible part looks complete — the debugging, refining, optimizing, and making sure it doesn’t break the moment someone touches it. Software isn’t built in straight lines. It’s built in loops — of testing, fixing, and improving. That’s why real progress doesn’t always look like completion. It looks like iteration. Because what separates a quick project from a quality one It isn’t about how fast it’s “done,” but how well it’s finished. At D-WebBox, we take pride in that last 10%. The part that nobody sees, but everyone feels. The polish that turns “it works” into “it works beautifully.” So yes — when we say “almost done,” we really mean “we’re making it worth it.” Visit us at: https://dwebbox.com/ Connect Via: https://lnkd.in/d_drvvtx To read more: https://dwebbox.com/blogs What are your thoughts about this?

AI-Driven Development is revolutionizing the way software is built, with AI-powered tools: 1. Automating coding tasks 2. Enhancing code quality and security 3. Predicting and fixing errors 4. Streamlining development workflows Some popular AI-driven development tools include: 1. GitHub Copilot 2. Kite 3. TabNine 4. Codex These tools augment developer productivity, speed, and accuracy, enabling them to focus on high-level creative tasks.

Google Releases Jules Tools, an Agentic CLI: The vendor said the tool improves coding efficiency and context understanding with enhanced memory, task management capabilities, and integration options using the Jules API.

Is the CLI the future of AI-powered development? Claude Code (Feb ’25) kicked off a quiet revolution — agentic CLI coding. It could autonomously edit files, run tests, and commit code right from the terminal. Then the wave followed: Gemini CLI (~Jun ’25), Cursor CLI (~Aug ’25), and GitHub Copilot CLI (~Sep ’25). 𝗠𝘆 𝗯𝗲𝘁: 𝘁𝗵𝗲 𝗖𝗟𝗜 𝘄𝗶𝗹𝗹 𝗯𝗲𝗰𝗼𝗺𝗲 𝘁𝗵𝗲 𝗽𝗿𝗶𝗺𝗮𝗿𝘆 𝗶𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 𝗳𝗼𝗿 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀. What do you think — CLI-first or IDE-first for the next era of AI-assisted software development?

⚠️ The No-Code Hangover Is Coming Everyone rushed to “automate everything” with no-code tools during the AI boom. Now we’re waking up to the bill. What looked fast is turning into massive technical debt: -Fragile API chains that break overnight -Zero version control or security -Hidden costs that scale faster than revenue -Teams afraid to touch their own automations No-code got us moving. But to scale, we need real, secure, and reliable code systems — not spaghetti flows held together by webhooks. 2025 isn’t about building faster. It’s about building right. 💬 Agree or disagree — are we headed for a no-code reckoning? #NoCode #TechnicalDebt #AIAutomation #WorkflowAutomation #AIInfrastructure #SaaSDevelopment #FutureOfWork #BuildInPublic (c) image by google

How to Keep API Docs Consistent with Reusable Blocks API docs a mess with endless updates and inconsistent formats? Still copy-pasting headers or error codes across endpoints? Use Voiden's built in reusable blocks feature to write modular components once, import them across the project, save time and avoid the frustration of debugging mismatched specs. Trying to integrate an API, only to find the docs are a mess. We’ve probably all been there. It doesn't matter if it's a two-month-old startup or an established leader in the space. There's always something (s)lacking. One endpoint uses id, another user_id, and the error formats change depending on who wrote the page. It’s beyond frustrating, time-wasting, and leads to bugs. There's no single tool that can address and account for all the human-induced issues, but there are areas where we can start. Reusable blocks in Voiden can help solve parts of this issue. They’re simple, help save your time and keep your docs consistent across projects, and work offline in Git. There are more than a fe https://lnkd.in/dKb9Wmwj

Vibe coded a side tool that now has hundreds of customers (and never intended it to be a product) Built urltotext .com over a year ago as a free debugging tool for Stammer customers to test our web scraper. Just needed something functional to solve an internal problem. People started using it. Stammer customers asked for an API to use it independently. That's when I brought in a real developer to completely rebuild it from scratch. Nothing from the original vibe coded version remains. The lesson: Building one product often reveals pain points that become other products. I never planned for this to be a standalone business, but by shipping it quickly (even with bugs), I discovered there was real demand. The approach that works: → Vibe code something to solve your immediate problem → Launch it even if it's imperfect → If people actually use it, invest properly → Bring in real developers to rebuild correctly Don't wait for the perfect product idea. Start building solutions to your own problems. Some will become real products, most won't. But you only discover which ones have potential by shipping them. What side tools have you built that surprised you with demand?

No-code tools have come a long way. The new generation is genuinely impressive — you can build complex products faster than ever, connect dozens of systems, and ship something that looks and feels real in days. But there’s a point where speed meets structure and that’s where things start to break. We often get involved right around that stage — when a senior developer needs to look at the codebase, do an audit, or run a security review. That’s usually when the hidden complexity starts showing up. What worked perfectly fine for a few hundred users starts to fall apart at a few thousand. The logic gets harder to follow. The integrations start failing. The costs — both time and money — begin to skyrocket. It’s not because the tools are bad. Tools like this are amazing. They’ve opened the door for more people to build, experiment, and launch. But they’re not designed for long-term scale. That’s why at Taktway, we still build real software. We use AI-assisted development and modern workflows to move fast — but everything is built with scalability, security, and maintainability in mind from day one. It’s not about being against no-code. It’s about understanding its limits. There’s a point where prototypes should turn into real systems — and the earlier that transition happens, the smoother everything goes. It takes a little more work upfront but in the long run, you’ll thank yourself for it.