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ABAbhishek Banerjeedeeper-in-tech.hashnode.dev3d ago · 8 min read

Long-Horizon Agent Execution: How We Handle Non-Deterministic Failures and Token Burn

When I consult for engineering teams building autonomous agent systems, the initial demo is always impressive. An agent reads a ticket, generates a file, runs a test, and creates a clean pull request

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ABAbhishek Banerjeedeeper-in-tech.hashnode.dev4d ago · 5 min read

Stop Prompting, Start Specifying: Hands-On with GitHub Spec Kit

We’ve all been there: you open an AI coding assistant like Cursor, Copilot, or Claude Code, throw a sentence or two at it, and watch as it churns out 400 lines of plausible-looking code. Ten minutes l

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ABAbhishek Banerjeedeeper-in-tech.hashnode.dev4d ago · 4 min read

Beyond AI Coding Assistants: Inside Tessl and the Era of Software Factories

We’ve officially moved past the basic auto-complete era of AI development. Today, developers are orchestrating multi-file changes using autonomous agents like Claude Code, Cursor, and Copilot. But as

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VZVlad Zoffcodapult.hashnode.dev5d ago · 10 min read

The Tests Passed. The Architecture Didn't.

One of the stranger things about working with coding agents is that a change can be completely valid and still be wrong. TypeScript passes. The tests pass. The build is green. The feature works. And I

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AJAlen Joypragmaticstack.in6d ago · 5 min read

Tests Are the Verification Layer: Proving Agent Generated Changes

🗓️ Last updated: September 2026 The coding agent reports that the feature is complete. The project compiles. Four tests pass. The fifth test was deleted because it represented "legacy behavior." Thi

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NCNeural CoreTechneuralcoretech.hashnode.devSep 20 · 1 min read

Plugin4Shell and the Broken Trust Model Behind AI Coding Agent Plugins

SHA pinning sounds definitive. It isn't—unless the client verifies what actually landed on disk. Plugin4Shell demonstrates exactly why that distinction matters. AIR Security identified a zero-click RC

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TSTidiane Stano4sapi.hashnode.devSep 20 · 9 min read

Where AI-Generated Code Most Often Hides Hidden Pitfalls

What is the most dangerous flaw inside AI-generated source code? Many developers instinctively point to syntax errors, incompatible interfaces, or type mismatches. These bugs are relatively easy to ca

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MMihai_LeanZeroleanzero.hashnode.devSep 19 · 12 min read

Agent Skills, working: a guide with 6 real Atlassian examples

Agent Skills, working: a guide with 6 real Atlassian examples Your coding agent just made up an API again Your agent just confidently wrote a Forge manifest with a jira:workflowValidator module that d

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MMihai_LeanZeroleanzero.hashnode.devSep 19 · 6 min read

Introducing the MCP Document Processor: A Practical Tool for Document Processing

Introducing the MCP Document Processor: A Practical Tool for Document Processing AI has made meaningful improvements over the years, but it still struggles with documents. When you ask an AI agent to

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MMihai_LeanZeroleanzero.hashnode.devSep 19 · 11 min read

The Obedience Trade-off: Why I Swapped Claude Code for Zed + GLM-4.7

The Obedience Trade-off: Why I Swapped Claude Code for Zed + GLM-4.7 When an AI assistant deletes your production database after being told 11 times in ALL CAPS not to make changes, the question of au

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#ai-coding

Search Hashnode

#ai-coding

Explore Hashnode

Trending tags this week

Long-Horizon Agent Execution: How We Handle Non-Deterministic Failures and Token Burn

Stop Prompting, Start Specifying: Hands-On with GitHub Spec Kit

Beyond AI Coding Assistants: Inside Tessl and the Era of Software Factories

The Tests Passed. The Architecture Didn't.

Tests Are the Verification Layer: Proving Agent Generated Changes

Plugin4Shell and the Broken Trust Model Behind AI Coding Agent Plugins

Where AI-Generated Code Most Often Hides Hidden Pitfalls

Agent Skills, working: a guide with 6 real Atlassian examples

Introducing the MCP Document Processor: A Practical Tool for Document Processing

The Obedience Trade-off: Why I Swapped Claude Code for Zed + GLM-4.7