SShortSingh.
TopTechnologyAI & MLStartupsProgrammingScienceBusinessFinanceCrypto & Web3World

Programming

LatestTopDiscussed
0
ProgrammingDEV Community ·

MDDeck lets one Markdown file serve as both presentation and AI knowledge source

A developer has built a free browser-based tool called MDDeck that uses a single Markdown file as both a slide presentation and a text-based knowledge source for AI agents. The tool addresses a common inefficiency where content is converted into a PPTX file, then AI systems must spend additional processing and tokens to extract that same content back out. With MDDeck, users render the same .md file as slides for meetings and feed it directly to AI workflows, eliminating redundant conversion steps. The tool runs locally in the browser without uploading file contents, though remote images and links still contact their hosting servers. MDDeck has limitations around slide layout flexibility and visual fidelity when converting existing PPTX decks, but requires no registration and is completely free to use.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Why the Default bcrypt Cost Factor 10 May No Longer Be Secure Enough

A widely circulated developer tutorial warning highlights that the bcrypt cost factor of 10, copied into countless codebases, was set as a reasonable default years ago but may now offer weaker protection against modern hardware. Bcrypt's second argument controls computational expense by roughly doubling the work required with each increment, deliberately slowing down password hashing to limit brute-force attacks. Because specialized hardware grows faster every year, a cost factor that was adequate when most tutorials were written now provides measurably less resistance to offline attacks on stolen password databases. The flaw is invisible in normal operation — logins continue working fine — but becomes critical if a database is ever compromised. Security experts recommend developers check current guidance from security-focused organizations when configuring bcrypt, rather than relying on whatever value appears in legacy code or tutorials.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

API rate limiter shielded heavy abuser while blocking 112 innocent customers

A single shared token bucket rate limiter at one company's API edge caused 112 customers to face roughly 30% availability during a Tuesday early-morning incident, while the one customer running a large historical backfill retained most of its throughput. Because the global limit was not partitioned per API key, clients making the most requests naturally consumed the most tokens, penalising well-behaved users disproportionately. The engineering team overhauled the system by assigning each key its own bucket sized on its 30-day peak usage, adding request priority classes to favour interactive calls over batch jobs, and retaining the global bucket only as a backstop. Throttling is now tracked per individual key so engineers can identify exactly which tenant is being shed. Reporting was also updated to surface the worst-performing tenant's success rate alongside aggregate figures, since the aggregate metric had masked the severity of the outage for affected customers.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

What a Virtual CISO Does and When Your Company Actually Needs One

A Virtual CISO (vCISO) provides part-time or contract-based senior cybersecurity leadership — covering strategy, compliance, and board communication — at a fraction of a full-time executive's cost. The model is most relevant for companies with 50 to 500 employees that have outgrown self-managed security but cannot yet justify a $350,000-plus hire. Common triggers for engaging a vCISO include enterprise customer security audits, investor accountability questions, uncoordinated incident responses, or rapid growth in regulated industries like fintech or healthtech. Unlike a full-time CISO, a vCISO focuses on leadership and strategy rather than day-to-day execution, typically owning compliance programs, security roadmaps, and incident response planning. The arrangement is designed to close the gap between ad hoc internal security and dedicated executive oversight without the associated executive overhead.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

25 Prompt Templates to Help Developers Write Better AI Instructions

A curated list of 25 prompt templates aimed at developers was published on DEV Community on September 17, 2026. The templates follow a five-part structure and are largely adapted from Anthropic's public prompt library for Claude Code users. Eight of the prompts focus on speeding up coding tasks, covering areas such as codebase overviews, refactoring plans, test writing, and debugging. Each template includes an explanation of why it works, written in the editors' own words rather than copied directly from Anthropic. The collection is intended as a practical reference for developers looking to get more reliable and structured outputs from AI coding assistants.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Misconfigured netmask caused 10x slowdown between servers on the same network segment

An AI sysadmin at Finnish hosting provider Pulsed Media diagnosed a severe internal network slowdown where two servers on the same physical segment were transferring data at only 1–6 MB/s instead of expected line rates. The root cause was a misconfigured netmask that made each host treat its neighbour as an external address, forcing all traffic to route through the gateway and back in a hairpin loop. The issue was identified using the Linux command 'ip route get', which reveals the kernel's forwarding decision without sending any actual traffic. Correcting the subnet mask to include both hosts eliminated the unnecessary gateway hop, boosting single-stream speeds from roughly 1–3 MB/s to around 55 MB/s — a roughly 10x to 69x improvement. A one-character typo in the network configuration file caused the fix to revert on reboot, underscoring how small misconfigurations can have outsized performance consequences.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How one shared staging environment cost nine teams years of wasted debugging

A software engineering team at an unnamed company spent years sharing a single staging environment among nine teams, leading to chronic release delays and misattributed failures. A post-mortem review of eight weeks of staging incidents revealed that 31 of 74 failures were caused by another team's changes, yet were investigated by the wrong team each time. The team solved the problem by building per-pull-request environments using their existing infrastructure-as-code setup, each taking six minutes to spin up and costing under £300 a month in total. A small number of genuinely non-duplicable dependencies, such as a partner test account and a mainframe link, were placed behind an automated pipeline lock instead of a manual booking process. The key takeaway, as noted by engineer Sergey Shinder, was that years of effort had been spent speeding up automation when the real bottleneck was always the shared physical resource that no one had thought to measure.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Why Timing and Context Matter as Much as the Feedback You Give

A piece by Asael Shinder on DEV Community argues that the same piece of feedback can land very differently depending on when and how it is delivered. He notes that someone under personal or professional stress may internalize a minor correction as confirmation of deeper self-doubt, while a colleague in a stable period would simply act on it. Shinder advises first addressing the person's current load genuinely before delivering any note, then waiting a few days and sharing feedback in a private setting tied to one specific, actionable point. He warns against stockpiling multiple observations, as delayed bulk feedback in a review can feel like an ambush to the recipient. Finally, he encourages senders to examine whether the urgency to deliver feedback is driven by their own frustration rather than any real business need.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How Zalgo Text Works: Unicode Combining Characters Stack to Create Glitchy Effects

Zalgo text is a visual effect produced by layering multiple Unicode combining characters onto standard letters, causing text to appear distorted or corrupted. Combining characters are designed to modify a base character — for example, adding an accent — but stacking many of them vertically creates the chaotic, stretched appearance associated with Zalgo. Generators can control the intensity and position of these marks, ranging from subtle to extreme distortion. The same Zalgo string can render differently across operating systems, browsers, fonts, and text engines due to varying Unicode support. Developers should be aware that while Unicode normalization helps standardize text, it is not a reliable way to strip Zalgo, since combining marks are legitimate characters used in many writing systems.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Engineers Lost 23 Minutes Reading Wrong Environment's Graphs During Live Outage

A software team spent the first 23 minutes of a production outage monitoring staging dashboards instead of production, because a shared Grafana incident link defaulted to a staging datasource alphabetically. Checkout was failing for roughly one in three requests, yet all metrics on screen appeared healthy, since staging ran the same code under synthetic load and showed no errors. The misleading link had been pinned in the incident channel two years prior, copied from a browser without environment variables in the query string. Following the incident, the team hardcoded datasources into production dashboard JSON, added automated build checks to prevent templating, and introduced a prominent red environment label pulling data directly from the source. The key lesson drawn was that a misconfigured observability tool fails silently by delivering a fully convincing answer about the wrong system.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

AI Site Loses 97% of Google Impressions Due to Thin, Overlapping Content

A developer's AI workflow site saw impressions crash from 2,030 to just 68 in a single week, with 332 out of 400 submitted URLs left unindexed by Google. Despite healthy crawl stats, fast server responses, and no manual penalties, Google quietly deprioritized the site due to poor content quality and lack of distinct search intent per page. Many pages covered version-specific or short-lived topics that were factually accurate but failed to serve a durable, unique user need. In response, the developer halved the sitemap from 400 to 195 URLs, merging overlapping content, redirecting outdated pages, and retaining only those with proven query demand. The case highlights that successful crawling and sitemap submission do not guarantee indexing — content must demonstrate independent value to earn and hold a place in search results.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Retired Database Still Had 7 Secret Users — Found Only After the Outage

A tech team decommissioned a legacy order history system in March after 18 months of migration and 90 days of advance notice, yet within days of shutdown, seven dependent processes broke. None of the affected systems — including a sales commission tool, a logistics reconciliation job, a warehouse label printer, and a finance manager's weekly spreadsheet — had been documented anywhere in the migration plan. All seven were reading the database directly, bypassing the application entirely, using credentials quietly distributed by helpful colleagues over 15 years. The team restored read-only database access for eight days and spent nine weeks rebuilding the undocumented connections. They now log all database logins for a full quarter before any retirement, a practice that has since uncovered 33 additional hidden consumers across three subsequent decommissioning projects.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer Seeks Help Fixing Execution Flaws in Polymarket Latency Arbitrage Bot

A developer building a trading bot on Polymarket's prediction market platform reports that live performance is consistently negative despite a strategy that tests well on paper. The bot targets Bitcoin short-term price direction markets using a latency arbitrage approach via the Polymarket CLOB API on the Polygon blockchain. Key execution problems identified include large gaps between expected and actual fill prices, slow cancel-and-replace cycles, and API or rate-limit errors during live trading. The developer has already attempted fixes such as using limit orders, reducing order size, and improving logging, but the issues persist. They are now seeking community guidance on order manager design, realistic fill modelling, execution quality measurement, and open-source tooling for CLOB-based bots.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Go Developers Explore Zig: Key Differences in Memory, Errors, and Control

A technical comparison published on DEV Community examines what Go developers encounter when learning Zig, a systems programming language gaining traction among backend engineers. While both languages favour simplicity and a single official toolchain, their core priorities differ: Go targets developer velocity and scale, whereas Zig emphasises predictable performance and direct hardware control. The most significant shift for Go developers is memory management — Zig has no garbage collector, requiring programmers to explicitly pass and manage allocators for every allocation. Error handling follows a similar philosophy to Go's explicit error values, but Zig enforces it at the compiler level through typed error unions, making it impossible to silently ignore errors. The article argues that developers who have experienced GC pauses or struggled with cgo in Go are the most likely audience to find Zig's trade-offs worthwhile.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Why staying at one job longer than two years builds judgment you can't get elsewhere

A software engineer argues that the common advice to change jobs every couple of years causes developers to miss a critical feedback loop that only emerges over 18 months or more. Watching your own architectural and design decisions age in production is described as the only reliable way to distinguish good instincts from bad ones. Beyond technical lessons, longer tenure also earns engineers informal influence — being consulted before decisions rather than after — and a working knowledge of how their specific organisation actually functions. However, the author cautions that staying can stop being productive, recommending a twice-yearly self-check: if you cannot name what you learned or what you would do differently, familiarity may be quietly costing you years of growth.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Developer Rewrites Abandoned 2015 Rust CRC-32 Crate With Modern Features

A software developer discovered that the original Rust crc32 crate, last published in 2015 and lacking CI or a changelog, was still widely used as a dependency despite being unmaintained. The developer rewrote the crate from scratch using modern Rust, implementing multiple performance-optimized table variants including slicing-by-4, slicing-by-8, and slicing-by-16. The revamped library, named crc32-v2, supports no_std environments, includes a streaming Digest API, a build-time proc-macro codegen subcrate, and bindings for both Python and Node.js. The entire codebase was written in 100% safe Rust with unsafe code explicitly forbidden at the crate root. Following its release, the project gained unexpected viral attention within the Rust developer community.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Why AI Agents Demand a Higher Standard of Oversight Than Chatbots

A commentary by Serguey Asael Shinder argues that the shift from AI answering questions to AI taking actions represents a fundamental change in risk. While a wrong answer from a chatbot remains inert until a human acts on it, a wrong action by an AI agent has already altered files or systems before review is possible. The author warns that multi-step autonomous workflows erode human attention, making it easy to approve early steps and lose oversight by the fortieth. To counter this, Shinder recommends separating the proposal stage from the execution stage, reviewing the full result as a single decision. He also advises granting AI agents limited, purpose-specific credentials rather than broad access, to contain the damage of any failure.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

Why Your Database Cannot Distinguish 'Blank' From 'Never Asked'

A software development insight highlights a common data modeling flaw where a single database column is used to represent fundamentally different states: a blank answer, an explicit opt-out, and a question never posed. Using a simple null or empty value to cover all three cases leads to silent errors in conditions, form updates, and aggregate calculations like sums and averages. When a form posts only rendered fields, absent values must be treated as 'leave unchanged' rather than 'blank,' or data integrity breaks down. Aggregate functions compound the problem by quietly dropping nulls, skewing reported metrics. The author urges developers to explicitly model every meaningful state in their schema, even if it requires adding columns or enum values.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

DORA Metrics Explained: The Four Measures That Define Elite Engineering Teams

Google's DevOps Research and Assessment (DORA) program, launched in 2014, identified four key metrics that predict software delivery performance and business outcomes. The metrics cover two dimensions: velocity, measured by Deployment Frequency and Lead Time for Changes, and stability, measured by Change Failure Rate and Mean Time to Recovery (MTTR). According to Google's 2023 State of DevOps report, elite engineering teams deploy 208 times more frequently and restore services 2,604 times faster than low-performing peers. A core finding of the research is that speed and stability are not trade-offs — top teams consistently excel across all four metrics simultaneously. The metrics are derived from Git activity and CI/CD pipeline data, making them objective benchmarks for identifying bottlenecks and driving continuous improvement.

0 comments Read more at DEV Community
0
ProgrammingDEV Community ·

How Engineering Managers Can Measure Developer Productivity Without Surveillance

Engineering managers often struggle to assess developer productivity without resorting to invasive methods like screen monitoring, hour tracking, or lines-of-code counting, all of which erode team trust and measure the wrong things. Experts argue the key distinction is between outputs, such as tickets closed or commits made, and outcomes, like deployment frequency and bug catch rates, which better reflect real value delivered. Source control platforms like GitHub and GitLab already provide objective, non-invasive data on delivery speed, collaboration quality, and code health as a natural byproduct of work. Story points and hour logs, when misused for individual performance comparisons, tend to be gamed in ways that harm collective progress. Well-designed team-level recognition, such as celebrating shared milestones and acknowledging invisible contributions like code reviews and documentation, can boost engagement without undermining intrinsic motivation.

0 comments Read more at DEV Community
← NewerPage 1099 of 3218Older →