software-engineering 58
- why your ai agent fails: it is a harness problem, not a prompt problem
- the ai learning shortcut may become apprenticeship debt
- ai-era interviews should test evidence, not leetcode muscle memory
- choosing the right agent surface: Codex, Claude Code, Copilot, and when not to use an agent
- review and verification: making agent code mergeable
- subagents and specialized agents: parallelism without chaos
- instructions as code: AGENTS.md, CLAUDE.md, and copilot-instructions.md
- the senior engineer's agent loop: context, plan, patch, proof
- how senior engineers should code with agents without becoming reviewers of chaos
- coding benchmarks are becoming production dependencies
- the best books for the agent era are still systems books
- agents need shared memory, not another context window
- AI code governance is the new code review bottleneck
- AI credits are the new lines of code metric
- AGENTS.md is becoming the new code review contract
- coding agents made repositories the security boundary
- agent canvases are the end of chat-only coding tools
- even the CEOs are walking it back
- postgres is all you need for durable execution
- open-source coding agents need maintainers, not just models
- ai productivity gains are real, but smaller in production
- cognitive debt is the ai code smell nobody wants to measure
- replit chased the ai hype and left a simple coding gap
- why the 'hand coding' backlash is really about agency, not nostalgia
- From capital one to unreviewed AI code the same ssrf, different decade
- measuring ai-assisted velocity without lying to yourself
- agentic terminals are eating the IDE (and why that is not entirely good)
- ai agent fluency is the new staff+ engineering skill
- Your Terminal Is Becoming a Governed AI Runtime
- AI Tools Have Shorter Half-Lives Than the Workflows They Automate
- Hyped and Overhyped Programming Languages in 2026
- Architecture as Code Is How You Stop AI from Scaling Your Mistakes
- The Software Engineer Job Apocalypse Is Still Not Happening
- A practical container-only philosophy for Software Engineer and AI Agents
- google antigravity vs other ai workflow agents
- Claude Cowork is what happens when chat is not enough
- A mix-salad names in AI world
- When 512,000 Lines of AI Tooling Suddenly Become Public
- Container-only philosophy for Software Engineer and AI Agents
- Gottfried Wilhelm Leibniz and the intellectual foundations of Computer Science and AI
- Software Engineer and AI Engineer Career Levels: A Playbook for Everybody (2026 Edition)
- VS Code now has agents: what changed
- Java in 2026: still boring, still powerful, still printing money
- Supervised Learning Math (for humans, not robots)
- MCP the basics to master
- The AMS Moment: Why Stopping to Ask 'Are We Missing Something?' Could Save Your Next Project
- Anthropic CEO predicted '90% of Code will be made by AI in 3–6 Months' The problem? The prediction was 6 months ago
- Why LLM predictions are dangerous for Finance?
- Staging and Qa Will Not Save Your Systems 2024 12 20
- AI Moving Crazy Fast but Power Plug No 2025 06 15
- Macos Using Port 5000 Butnolocal Env 2025 05 17
- Now Layoffs Later Swe Will Clean Vibecoding Mess 2025 04 30
- Understanding Conway The failure of monolithic systems like the [healthcare.gov](https://healthcare.gov/) rollout in the U.S. highlights how mismatched team structures can hinder project success. Conversely, companies like Amazon organize teams around their microservices platform, ensuring high autonomy and efficiency. Law and Impact in Swe 2024 09 17
- Why Working Agreements Are Crucial in Swe Teams 2024 07 11
- Os Concept for Dummies 2024 06 11
- Swe Career Levels a Playbook for Tech Recruiters and Swe 2024 05 11
- Understanding Costs of Turover for Key Swe 2023 10 30
- How Does Simpsons Paradox Affect Decisions Make 2023 09 26