SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World
Back to feed
Programming

Developer shares AI-assisted coding workflow that reduced bugs and improved output quality

0
·3 views

A software developer has shared a structured AI coding workflow after struggling for five to six months with poor results using agentic IDEs like Cursor. The developer attributed earlier inefficiencies to passively accepting AI-generated plans without proper direction or review. The improved workflow centres on five prompt-based commands — including grilling, spec writing, ticket breakdown, implementation, and handoff — credited to a method popularised by Matt Pocock. A key practice involves keeping AI context windows lean by starting fresh sessions for each ticket, which the developer says keeps model responses sharper and more accurate. After several months of applying this approach, the developer reports significantly fewer bugs and a noticeably higher quality of implemented features.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

DeepSeek Harness Plugin Development Guide Explains 'Everything Is a Plugin' Architecture

A developer tutorial published on DEV Community walks through building plugins for DeepSeek Harness (dsh), an open-source AI tooling framework driven by a vendored version of Cordis. The guide explains that dsh has no privileged core — model adapters, tool registries, session logs, and the agent main loop are all plugins, making every component replaceable via configuration. Developers are shown how to export the four standard plugin fields (name, inject, Config, and apply) and how to register tools and event hooks in a reversible, hot-reload-safe manner. The tutorial covers setting up a local clone of the GitHub repository, running type checks and unit tests without an API key, and eventually packaging a plugin for formal release. It also details the layered loading order dsh uses to compose its runtime plugin tree from profiles, patch files, and command-line overrides.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How a Kubernetes Node Thrashed Silently While Every Health Check Showed Green

On August 17th, an engineer's new alert rules flagged two separate IO pressure incidents on a four-core ARM server, neither of which triggered any error from Kubernetes, ArgoCD, or Helm. Investigation revealed the heaviest disk reader on the node was a restarted Jaeger container — the third victim of OOM kills in 16 hours — thrashing the page cache rather than actively requesting reads. The node's memory limits were set at 110 percent of capacity, while the scheduler only reads memory requests, which stood at just 41 percent, giving it no reason to stop placing pods. Each layer of the stack answered its own narrow question correctly, but the composite picture they painted was entirely misleading. The incidents illustrate how overcommitted resources and siloed health signals can mask systemic instability until low-level kernel metrics are examined directly.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

IBM's Bob Used to Build a Loop Engineering App Demonstrating Self-Correcting AI Cycles

A developer partnered with IBM's AI assistant Bob to build a working Loop Engineering application from scratch, moving beyond theory to explore production-grade implementation. Loop Engineering replaces single-pass LLM prompts with iterative, self-correcting cognitive cycles structured around five stages: Perceive, Plan, Act, Observe, and Reflect. The sample project, an Autonomous Research Summarizer, uses a two-tier nested loop architecture where an outer orchestrator manages high-level research phases and an inner engine handles atomic cognitive steps. State is tracked across three distinct memory types — volatile working memory, immutable episodic records, and persistent semantic memory — ensuring deterministic termination and quality control. The walkthrough covers code, design patterns, and schemas, offering a concrete reference for developers looking to implement autonomous agent frameworks.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer Builds Free In-Browser 10-Band Audio Equalizer Using Web Audio API

A developer has created SonicLab's Equalizer, a free, fully client-side 10-band audio equalizer that runs entirely in the browser without requiring file uploads or user accounts. The tool leverages the Web Audio API's BiquadFilterNode with a peaking filter type to boost or cut across ten frequency bands ranging from 32Hz to 16kHz. Processing audio locally ensures user privacy, eliminates server costs, enables real-time playback preview, and allows offline use after the initial page load. The implementation chains ten filter nodes in series and uses a standard AudioContext for live preview alongside an OfflineAudioContext for faster-than-real-time audio export.

0 comments Read more at DEV Community