SDLC
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Pragmatic agentic coding workflow using Claude Code
A YouTube walkthrough shows a pragmatic agentic coding workflow to build software end-to-end with coding agents like Claude Code. This [walkthrough v...
Claude Code Security preview lands alongside key CLI hardening
Anthropic shipped a limited Claude Code Security preview to scan repos and suggest patches, alongside CLI updates that improve remote build control, s...
Grok 4.1 Free: Treat as access, not capacity
Treat Grok 4.1 Free as an entry point for testing realtime-first workflows, not as a guaranteed capacity tier for sustained, iterative workloads. [Gro...
Copilot CLI 0.0.412 adds plan approval, MCP hot-reload, and faster fleet mode
GitHub Copilot CLI 0.0.412 ships human-in-the-loop plan approvals, MCP hot-reload, and faster multi-agent execution to make AI-assisted workflows safe...
AI coding boosts some tasks by 56% but slows others by 19%
AI coding assistants can make developers about 56% faster on some tasks but about 19% slower on others, indicating uneven productivity gains that depe...
Agent-first SDLC: from pilots to production
Agent-first development is moving from hype to execution, and teams that redesign workflows, codebases, and governance around AI agents are starting t...
Claude Code goes multi-agent with Swarm; plugins surge, outage underscores ops readiness
Anthropic has officially made Claude Code a multi-agent orchestrator with Swarm mode, turning one assistant into a team lead that plans and delegates ...
OpenAI Codex ships macOS app with parallel agents, Plan mode, and higher limits
OpenAI released a macOS Codex app that runs parallel agent threads for long‑running work with built‑in Git/worktrees, skills, automations, and tempora...
Rumor: Anthropic 'Claude Image' hinted by beta tester
A beta tester post suggests Anthropic may be preparing a release called "Claude Image"; treat this as unconfirmed and monitor for an official announce...
AI template clones websites into Next.js using budget models
A new AI template shows how to clone existing websites into Next.js codebases while working with lower-cost language models, reducing experimentation ...
xAgent CLI brings terminal-driven desktop control to AI agents
A community post introduces [xAgent CLI](https://dev.to/_1ce933ea8657ecc195ce7/xagent-cli-the-first-ai-assistant-that-can-actually-control-your-deskto...
Google I/O: Gemini 2.5 Pro "Deep Think" and Code Assist GA for backend/data teams
Google I/O highlights [Gemini 2.5 Pro’s experimental “Deep Think” reasoning](https://dev.to/dr_hernani_costa/google-io-2025-ai-founder-essentials-12ai...
Agentic workflows: goal-driven AI agents are coming to enterprise automation
Agentic workflows move beyond rigid rules by using LLM-powered agents that plan, act across systems, self-correct, and keep humans in the loop, enabli...
Structured prompts and guidelines boost LLM code generation
Coverage suggests that applying explicit coding guidelines in prompts materially improves LLM code generation quality and consistency ([Quantum Zeitge...
From coder to fleet commander: scaling coding agents in 2026
Nate argues the bottleneck has shifted from model capability to team cognitive architecture and offers six practices plus a 2026 builder’s handbook fo...
Agentic workflows: goal-driven automation for SDLC and data ops
Agentic workflows shift automation from brittle, rule-based steps to LLM-powered agents that plan, act across systems, self-correct, and keep humans i...
Microsoft pilots Claude Code at scale as Anthropic’s agentic coder hits an inflection
Microsoft is rolling out [Claude Code](https://www.theverge.com/tech/865689/microsoft-claude-code-anthropic-partnership-notepad)[^1] across major engi...
Structured prompts raise LLM codegen quality
Coding with LLMs benefits from explicit, reusable prompt "guidelines" that aim to raise codegen quality and consistency across teams, according to [th...
Microsoft pilots Claude Code across core teams as agentic coding inflects
Anthropic’s Claude Code is hitting a real agentic-coding inflection: developers report step-function gains with the Claude Opus 4.5 model, and the pro...
VS Code AI extensions move beyond autocomplete to workspace-aware helpers
A recent piece argues that VS Code’s AI ecosystem has matured past simple code completion into test generation, inline explanations, project-wide reas...
Spec-driven workflow for AI coding agents: plan first, execute incrementally
Addy Osmani outlines a practical framework for writing lean, clear specs that guide AI coding agents: start with a concise high-level brief, have the ...
MassGen: open-source multi-agent orchestrator for LLM workflows
MassGen is an open-source system that runs in your terminal to coordinate multiple LLM agents in parallel, letting agents observe and refine each othe...
Design memory as a first-class component for AI agents
A 102-page academic survey summarized by multiple universities argues memory is a foundational primitive for agentic systems, enabling consistency, le...