CSW Solutions’ Post

Been using Claude Code and GitHub Copilot for a while now — at work and for personal projects — and the combination is genuinely good once you understand how to use them properly. One thing that changed the game for me is the Superpowers repository — it’s also available as an official plugin directly in the Claude Code marketplace. It comes with a set of predefined skills like brainstorming, writing plans, TDD, debugging, and subagent-driven development that just trigger automatically — you don’t have to do anything special. As soon as it sees you’re building something, it doesn’t jump into writing code. It steps back and asks what you’re really trying to do. That shift in behaviour is huge. And here’s the thing most people miss — writing code is actually the last step. The real heavy lifting is the planning. A well-structured plan markdown file, created through solid brainstorming, means even a lighter model can write good code from it. But if the plan is weak, even the best model won’t save you. Superpowers Skills handle exactly this part — the brainstorm → plan → implement flow — and it works. On top of that, I’ve started building my own custom Skills for specific use cases in my projects — things like documentation generation, commit intelligence, and test case flows — some of which are generic enough that any developer could plug them into real-world projects. If you’re using Claude Code or Copilot and haven’t looked at Superpowers yet, worth checking out 🔗 https://lnkd.in/g_GDMCqX #ClaudeCode #GitHubCopilot #Superpowers #AITools #DeveloperProductivity #SoftwareDevelopment #CodingSkills #AIAssistedDevelopment #ShipFaster #DevTools #OpenSource #AgenticAI #BuildInPublic #100xDeveloper #TechLinkedIn

Is your workflow ready for Agentic Mode? 🚀💻 The era of simple autocomplete is over. We’re moving into the age of Vibe Coding, where the focus shifts from writing syntax to directing intent. I’m excited to share a major new resource for the developer community: "Vibe Coding with GitHub Copilot" by Fransesco Malila. This book is a deep dive into the full GitHub ecosystem, showing you how to move beyond basic chat and master Agent Mode for autonomous task execution. What makes this guide stand out: ✅ Mastering multi-file Edits and Agent Mode. ✅ Using MCP (Model Context Protocol) to extend Copilot to your databases. ✅ Deep integration with GitHub Actions, Security, and Codespaces. ✅ Honest comparisons with tools like Cursor and Claude Code. Whether you are a seasoned engineer or just starting out, this is the manual for the next generation of software development. Check it out here: https://a.co/d/051OOQFG #VibeCoding #GitHubCopilot #AIPairProgramming #SoftwareEngineering #DevOps #GitHub #TechInnovation #FransescoMalila

GitHub Copilot is a pair programmer that suggests code snippets and full functions in real time inside your editor. It reads the surrounding code and comments to autocomplete patterns, draft unit tests, scaffold endpoints, and handle repetitive glue work. Best for developers who want to move faster and cut boilerplate without breaking flow. Use it to spike features, explore unfamiliar APIs, and standardize routine code. Guide it with clear function names and comments, review suggestions like any pull request, and keep security checks in place for critical paths. #GitHubCopilot #PairProgramming #DevTools

🛡️ "In Git We Trust" We're kicking off the useblocks X-as-Code Webinar Series - in collaboration with GitHub - next week, April 22nd. Still managing engineering artefacts outside Git? Then this is for you. The shift toward X-as-Code is accelerating, especially in safety-critical industries. And it starts with the fundamentals. 🚀 The Series Premiere: Arnaud Riess, a pioneer of X-as-Code at a global automotive Tier-1, opens the series with: "X-as-Code Foundations - In Git We Trust" What we’re covering: 🔹 Why document-centric engineering is failing to scale. 🔹 Treating requirements, architecture, and compliance as version-controlled assets. 🔹 Why this approach is the "secret sauce" for AI readiness. 🔹 Leveraging open-source foundations like Sphinx-Needs. No prior experience required. Structured content + live Q&A. All registrants receive slides and recording. 📅 When: April 22nd | 4 PM CET 📍 Where: Live Webinar (+ Recording for all registrants) Registration link in the first comment. #useblocks #XasCode #SpecDrivenDevelopment #GitHub #SafetyCritical #OpenSource #SphinxNeeds #AutomotiveSoftware

This tutorial from freeCodeCamp is a game-changer for anyone looking to master the future of software development. It provides an in-depth, hands-on look at transforming your workflow with tools like GitHub Copilot, Claude Code, and the Gemini CLI to achieve massive productivity gains [00:14]. Whether you are a seasoned professional or just starting your coding journey, you'll learn everything from fundamental AI concepts like context windows and tokens to advanced "Agentic" workflows that can build and review entire projects autonomously [01:04]. The course even dives into high-level automation with OpenClaw and automated code reviews through CodeRabbit, ensuring you maintain top-tier security and code quality [01:16:05]. It’s an essential resource for learning how to strategically combine these powerful tools to stay ahead in the rapidly evolving tech landscape. Check it out here: https://lnkd.in/gwkWDhcy

My workflow: From GitHub Projects to PR. It all starts with a GitHub Project issue. If the requirements don't align with the business logic or lack clarity, I don't start. I ask, find solutions, and align expectations first. Once the path is clear, I move to planning: Impact Analysis: How does this affect the current stack and future features? Do we need new models? Do we need changes in other modules? Implementation Roadmap: A technical step-by-step before touching the IDE. Then comes the execution. I’m not about delegating everything to AI—I like to get my hands dirty and stay on top of the code. I use AI to speed things up, but it always follows my architecture and my technical criteria. Coding is just the final step of a solution that’s already been engineered. #SoftwareEngineering #WebDev #GitHub #Programming #CleanCode #FullStack

Over the past year, we at Independence Blue Cross have deployed GitHub Copilot to our technology teams and it has become a valuable force multiplier for our development teams and has helped us deliver more for less. By accelerating boilerplate coding, surfacing patterns faster, and reducing context-switching, developers focus more time on business problem-solving and higher-value work. Thanks to Larry Reeve, Robert Pruett, Timothy O'Malley, Mark Taylor #DeveloperProductivity #GitHubCopilot #AIinEngineering #SoftwareDevelopment #DevEfficiency

Lineark 3 has been released! https://lnkd.in/dgbmw3bu Both the CLI and the Rust SDK have been updated, bringing project management capabilities to the project! Important: This is a breaking change for the Rust SDK users due to changes in the way we encode the tri-state GraphQL undefined/null/T definitions of fields from the Linear API. We were using Option<T> for this, which was less than ideal, and now have fully moved into a custom Enum situation with 3 variants. Thanks!

Spring Break '26: What happens when you go all-in on an agentic SDLC for 9 days? Over spring break, I ran an experiment: start with GitHub Copilot code reviews and assisted "vibe coding," then systematically build toward full parallel agentic development using Claude Code.  Here's what 9 days looked like:  - $1,515 in Claude Code spend  - 244 GitHub contributions across 7 repos  - 88 pull requests (72 merged)  - 542K lines of code and documentation  - 117 AI-assisted sessions totaling 211 hours The journey had four distinct phases: Phase 1 — Assisted Vibe Coding. One prompt at a time. Manual code reviews. Learning the tools. Phase 2 — Specification-Driven Setup. Shifted to BMAD methodology — full planning artifacts, architecture docs, and user stories before writing a single line of application code. This was the unlock. Phase 3 — CI Guardrail Hardening. Deployed CodeRabbit, SonarCloud, CodeQL, and OpenSSF Scorecard across the entire org. When AI agents write code, you need automated safety nets. The agents produced buggy code in ~17% of sessions — CI  caught every instance before merge. Phase 4 — Full Parallel Agentic Execution. Multiple Claude Code agents running simultaneously in isolated git worktrees, each building separate epics via stacked PRs. On the final day alone: 16 PRs created across 2 projects, 6 parallel  epics each. The key insight: the setup cost of specification-driven development + CI guardrails feels heavy on day 1. By day 9, you're running 6 parallel epics across multiple projects with confidence. The methodology investment compounds. Three things that made this work: 1. Specs before code — agents without acceptance criteria hallucinate requirements 2. Let AI review AI — manual review of agent output doesn't scale 3. Git worktree isolation — the breakthrough that enabled true parallelism Full data deck with daily breakdowns, project portfolio, cost analysis, and methodology details:  https://lnkd.in/eA3ew9UQ  #AgenticDevelopment #ClaudeCode #AI #SoftwareEngineering #SDLC #DevTools #GenerativeAI #DeveloperProductivity

Content creation just got a whole lot smoother for the technical crowd. You can now embed GitHub Gists directly into your Step-by-Step Labs! ✅ Clean syntax highlighting ✅ Real-time code updates ✅ Professional-grade documentation Stop copy-pasting. Start embedding. Try it now https://stepwik.com/ #DevRel #Coding #GitHub #StepWik #TechnicalWriting