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Beyond the Demo: Engineering Resilient AI Systems Before Production Failure

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 11

Beyond the Demo: Engineering Resilient AI Systems Before Production Failure

# ai
# machine
# learning
# beyond

1  reaction

1  comment

13 min read

The AI Integration Illusion: Why Your Demo Runs in Sandbox but Crashes in Production

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 10

The AI Integration Illusion: Why Your Demo Runs in Sandbox but Crashes in Production

# ai
# machine
# learning
# integration

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4 min read

Beyond the Hype: How ‘AI Psychosis’ and the OpenAI Agents API Are Exposing the Fragility of Modern Software Engineering

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 11

Beyond the Hype: How ‘AI Psychosis’ and the OpenAI Agents API Are Exposing the Fragility of Modern Software Engineering

# ai
# machine
# learning
# beyond

1  reaction

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7 min read

Building AI Agents in Production: What MCP Rejections, .env Leaks, and 70-Line Loops Taught Me

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 9

Building AI Agents in Production: What MCP Rejections, .env Leaks, and 70-Line Loops Taught Me

# ai
# machine
# learning
# agents

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6 min read

Debugging the Black Box: Why Session Replay, Error Tracking, and Structured Logs Are the Missing Observability Layer for Production AI Agents

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 8

Debugging the Black Box: Why Session Replay, Error Tracking, and Structured Logs Are the Missing Observability Layer for Production AI Agents

# ai
# machine
# learning
# debugging

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13 min read

From Hype to Harness: Decoding Production-Ready AI Agent Engineering Through 13K-Star Frameworks and Cross-Model Benchmarks

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 8

From Hype to Harness: Decoding Production-Ready AI Agent Engineering Through 13K-Star Frameworks and Cross-Model Benchmarks

# ai
# machine
# learning
# hype

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2 min read

Git Hooks for AI Pair Programming: Capturing, Indexing, and Searching Your AI Coding Sessions

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 7

Git Hooks for AI Pair Programming: Capturing, Indexing, and Searching Your AI Coding Sessions

# ai
# machine
# learning
# git

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25 min read

Catching Cross-Language Copy-Paste Debt with Static Analysis and AI Pair-Programmers

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 7

Catching Cross-Language Copy-Paste Debt with Static Analysis and AI Pair-Programmers

# ai
# machine
# learning
# used

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5 min read

Building a Vector Similarity Detector: How One SQL Query Over 2.9M Charity Pairs Reveals the Gap Between Meaning and Spelling

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 7

Building a Vector Similarity Detector: How One SQL Query Over 2.9M Charity Pairs Reveals the Gap Between Meaning and Spelling

# ai
# machine
# learning
# vector

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8 min read

Tailwind CSS v4: Architecture, Features, and Performance Upgrades

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 6

Tailwind CSS v4: Architecture, Features, and Performance Upgrades

# ai
# machine
# learning
# tailwindcss

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3 min read

Building a $5.70/Month Autonomous AI Coding Agent in the Cloud Using Open-Source Terminal Agent Management

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 6

Building a $5.70/Month Autonomous AI Coding Agent in the Cloud Using Open-Source Terminal Agent Management

# ai
# machine
# learning
# 70

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3 min read

Building Reliable AI Agents Beyond the Hype: Lessons from $5.70/Month to 388K Stars

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 6

Building Reliable AI Agents Beyond the Hype: Lessons from $5.70/Month to 388K Stars

# ai
# machine
# learning
# reliable

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12 min read

From Code Reviewer to Agent Manager: Lessons from 30 Days of AI-Generated Software

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 10

From Code Reviewer to Agent Manager: Lessons from 30 Days of AI-Generated Software

# ai
# machine
# learning
# code

1  reaction

1  comment

6 min read

Why AI-Generated Tests Miss Critical Bugs — And How to Catch Them Before Production

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 6

Why AI-Generated Tests Miss Critical Bugs — And How to Catch Them Before Production

# ai
# machine
# learning
# generated

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7 min read

Why AI Agents Disappear in Production (and How to Keep Them Running for $5.70/Month)

Tamiz Uddin

Tamiz Uddin

Tamiz Uddin

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Sep 5

Why AI Agents Disappear in Production (and How to Keep Them Running for $5.70/Month)

# ai
# machine
# learning
# agents

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2 min read

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trending guides/resources

Beyond Prompt Guessing: Why LSP Integration is the Missing Protocol for Reliable AI Coding Agents

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From MCP to LSP: Securing AI Agents, Standardizing Context, and the Rise of Rust-Powered Infrastr...

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Links found on this page

  1. Skip to content [direct]
  2. Powered by Algolia [direct]
  3. Log in [direct]
  4. Create account [direct]
  5. Create Post [direct]
  6. Beyond the Demo: Engineering Resilient AI Systems Before Production Failure [direct]
  7. Tamiz Uddin [direct]
  8. # ai [direct]
  9. # learning [direct]
  10. # beyond [direct]
  11. The AI Integration Illusion: Why Your Demo Runs in Sandbox but Crashes in Production [direct]
  12. # integration [direct]
  13. Beyond the Hype: How ‘AI Psychosis’ and the OpenAI Agents API Are Exposing the Fragility of Modern Software Engineering [direct]
  14. Building AI Agents in Production: What MCP Rejections, .env Leaks, and 70-Line Loops Taught Me [direct]
  15. # agents [direct]
  16. Debugging the Black Box: Why Session Replay, Error Tracking, and Structured Logs Are the Missing Observability Layer for Production AI Agents [direct]
  17. # debugging [direct]
  18. From Hype to Harness: Decoding Production-Ready AI Agent Engineering Through 13K-Star Frameworks and Cross-Model Benchmarks [direct]
  19. # hype [direct]
  20. Git Hooks for AI Pair Programming: Capturing, Indexing, and Searching Your AI Coding Sessions [direct]
  21. # git [direct]
  22. Catching Cross-Language Copy-Paste Debt with Static Analysis and AI Pair-Programmers [direct]
  23. # used [direct]
  24. Building a Vector Similarity Detector: How One SQL Query Over 2.9M Charity Pairs Reveals the Gap Between Meaning and Spelling [direct]
  25. # vector [direct]
  26. Tailwind CSS v4: Architecture, Features, and Performance Upgrades [direct]
  27. # tailwindcss [direct]
  28. Building a $5.70/Month Autonomous AI Coding Agent in the Cloud Using Open-Source Terminal Agent Management [direct]
  29. # 70 [direct]
  30. Building Reliable AI Agents Beyond the Hype: Lessons from $5.70/Month to 388K Stars [direct]
  31. # reliable [direct]
  32. From Code Reviewer to Agent Manager: Lessons from 30 Days of AI-Generated Software [direct]
  33. # code [direct]
  34. Why AI-Generated Tests Miss Critical Bugs — And How to Catch Them Before Production [direct]
  35. # generated [direct]
  36. Why AI Agents Disappear in Production (and How to Keep Them Running for $5.70/Month) [direct]
  37. Beyond Prompt Guessing: Why LSP Integration is the Missing Protocol for Reliable AI Coding Agents [direct]
  38. From Chaos to Code: Building Production-Grade AI Agents with LSP, Local-First Architecture, and R... [direct]
  39. Planning Over Execution: Lessons from 157 Agent Runs and the Rise of Orca-Style Agent Fleets [direct]
  40. From MCP to LSP: Securing AI Agents, Standardizing Context, and the Rise of Rust-Powered Infrastr... [direct]
  41. The AI Assistant That Lied: Why Self-Correcting Agents Are the Only Path to Trustworthy Productio... [direct]
  42. Building a Private Agentic OS with Local LLMs: Lessons from Eliza, Hister, and the Planning Problem [direct]
  43. Attribution in the Age of AI Assistants: What the Linux Kernel's 'Assisted-by' Tag Means for Your... [direct]
  44. Building a Secure Local AI Agent on Open-Source Infrastructure: Lessons from SGLang, Olares, and ... [direct]
  45. Tailwind CSS v4: Architecture, Features, and Performance Upgrades [direct]
  46. Validating AI Memory: How to Benchmark Agent Memory Systems Without the Hype [direct]
  47. Why My Agent Refused 96 Times Before Getting It Right: Lessons from Building Reliable AI Agents i... [direct]
  48. The Review Tax: Escaping AI Code Review Traps with AWS Kiro Crew Orchestration [direct]
  49. Why Your AI Agent Passed Every Test but Still Failed in Production — Lessons from the 2026 Agent ... [direct]
  50. Local-First AI: Engineering On-Device Inference and Custom Agent Harnesses [direct]
  51. From Hype to Production: The Harsh Reality of Shipping AI Agents Beyond the Demo [direct]
  52. The AI Agent Reality Check: Why MCP Backdoors Fail in Production [direct]
  53. AI Agents in the Dev Workflow: Riding the Wave of Eliza, Airbyte, and the Snowflake 'Autofix' Breach [direct]
  54. Why Ghostty (Zig) is Reinforcing the Terminal Renaissance — and What It Reveals About the Shift T... [direct]
  55. Beyond Vibe Coding: Engineering Resilient AI Agents with FSMs, Privacy, and Cost Controls [direct]
  56. Agents That Act Need Brakes: Building Reliable Autonomous Workflows with Ekuiper, bb, and LiveRev... [direct]
  57. Agents That Break, Not Just Think: Why Containment, Control, and Debugging Are the Real Bottlenec... [direct]
  58. From 'Vibe Coding' to Sovereign Agents: Mastering Local-First AI with Row-Bot, Hindsight, and Doc... [direct]
  59. From Prompts to Infrastructure: Building Trustworthy, Scalable AI Agents in the Age of A2A and Ag... [direct]
  60. DEV Community [direct]
  61. DEV Challenges [direct]
  62. DEV++ [direct]
  63. Videos [direct]
  64. DEV Education Tracks [direct]
  65. DEV Help [direct]
  66. Advertise on DEV [direct]
  67. Organization Accounts [direct]
  68. DEV Showcase [direct]
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