Product engineering & software insights

The Baaz blog publishes practical guides on product engineering, custom software, AI, architecture, and project rescue—written to answer buyer questions directly, with checklists and definitions you can quote or verify.

Guides and insights on product engineering, software development, and building digital products. From the Baaz team in Bangalore, serving readers worldwide.

Which guides match your situation?

Browse by topic—product scoping, partner selection, rescue, and enterprise delivery. Each post opens with a direct answer you can quote or verify.

Guide

Technical Due Diligence for Custom Software: What Investors and Buyers Should Actually Check

Chitresh · Co-founder & Engineering Lead

Whether you are a founder raising a round, a corporate venture team reviewing an acquisition, or a procurement group renewing a seven-figure statement of work, the central question is the same: if the team in front of us disappeared tomorrow, could we still build and operate this product? The mistake is treating diligence as a code-review beauty pageant. What actually matters is a short list of verifiable facts: repository and cloud access, IP assignment, dependency and secret hygiene, deployment path, on-call reality, and documentation that lives in repos rather than in someone's head. This guide covers what to ask, what strong answers look like, and where buyers are most often caught off-guard. It reflects how Baaz prepares engineering artefacts for serious buyers, and how we advise clients evaluating new software partners—without turning diligence into a months-long paper chase.

Guide

How to Scope an MVP That Actually Ships (Without Betting the Roadmap)

Chitresh · Co-founder & Engineering Lead

Most MVPs fail not because the code is bad but because scope grows until the entire roadmap fits in version one. Founders add must-haves, stakeholders demand parity features, and engineering inherits a six-month wish list disguised as a sprint. The fix is not another discipline slogan—it is an actual scoping contract: one actor, one job-to-be-done, one measurable outcome, and a definition of done a user can exercise in your absence. This guide walks through how to cut scope without cutting learning, write a brief your agency or team can estimate, and recognise when v2 features are being smuggled into v1. Baaz has shipped MVPs and platform slices for startups and enterprises since 2018; this is how we frame scope when a client insists they need everything and still has twelve weeks of runway.

Comparison

ThoughtWorks Alternatives: A Practical Comparison for 2026

Chitresh · Co-founder & Engineering Lead

Buyers who evaluate ThoughtWorks alternatives are typically teams with realistic budgets who need high-quality engineering without the full enterprise transformation machine. ThoughtWorks has built a strong reputation for agile discipline and technical culture—but the cost, procurement friction, and engagement model are sized for multi-year programmes, not twelve-week MVP sprints. Buyers rarely compare logos; they compare archetypes: global integrators with large benches, boutique product studios that prioritise craft, talent networks that accelerate hiring, regional studios, and India-based product engineering firms that combine cost efficiency with senior teams when properly vetted. This guide compares six common directions—what each does best, how engagements are typically structured (fixed phases, time-and-materials, retainers, augmentation), how to evaluate fairly, and where Baaz fits for teams that need product engineering without the full consultancy overhead. Written for procurement leads, engineering leaders, and founders who want defensible criteria rather than a hype list.

Architecture guide

Reliable Data Integration: Event-Driven Patterns, CDC, and the Outbox

Consistent data integration transfers facts between services, databases and analytics systems without any updates being lost or applied twice each time the network failed. There exist three prevalent domain events (publish by the app), the transactional outbox (atomic commit with state), and change data capture (CDC how the database WAL/binlog streams change). This article details when each is appropriate, ordering and idempotency requirements and our operational checklist that we go through before we recommend one when it comes to client builds. To do transactionally consistent messaging, outbox pattern is supported in the enterprise integration literature and CDC documentation (open-source CDC platform) as complementary tools: outbox to events with application intent, CDC to streams of DB-level changes.

Architecture guide

SLOs, Error Budgets, and Production Reliability: A Practical Guide

Service Level Objectives (SLOs) are internal reliability targets expressed as a percentage over a window—for example, 99.9% of API requests complete successfully in under 300 ms each calendar month. Service Level Indicators (SLIs) are the measurable good events divided by valid events; error budgets are the allowable unreliability (e.g. 0.1% in a 99.9% SLO) you can spend on launches, refactors, or aggressive rollouts. This guide shows how to choose SLIs, set realistic targets, tie alerts to SLO burn rather than noisy thresholds, and align product and engineering on trade-offs. The framing follows Google's Site Reliability Engineering book (Chapter "Service Level Objectives"), which popularized error budgets as a way to balance velocity and stability.

Architecture guide

Reference Architecture for B2B SaaS Platforms: Boundaries, APIs, and Data Flow

A B2B SaaS reference architecture is an opinionated template for how web and mobile clients, APIs, identity, workflows, and data stores fit together so teams can ship predictably without redrawing the whole system on every feature. This guide gives a production-minded baseline: where to draw boundaries, when to call synchronously versus publish events, how to isolate tenants, and which failure modes to design for first. It distills patterns we apply at Baaz on product builds from MVP through scale-up—aligned with widely cited operational guidance from Google's Site Reliability Engineering practice on managing reliability via clear service boundaries and measured risk (Google SRE books, O'Reilly).

Checklist

Software Project Rescue Checklist: A Step-by-Step Recovery Plan

If your software project is stalled, off-track, or abandoned by a previous vendor, you need a recovery plan that is specific enough to execute—not morale speeches. Rescue is a sequence: secure truth about what exists, stop production bleeding, restore the ability to ship safely, then address debt in priority order while returning to predictable delivery. Baaz has refined this checklist across fifty-plus mid-project takeovers; the phases below mirror how we onboard failing programmes, what we refuse to skip (stabilization before feature sprawl), and how we keep sponsors aligned when timelines are uncomfortable. Use it as a template with your internal team or as a baseline when interviewing rescue partners.

Blog

How to Build an AI-Powered Product

Chitresh · Co-founder & Engineering Lead

Building an AI-powered product is less about the latest model and more about nailing the problem, the data, and the user experience. Models change quarterly; user trust, regulatory expectations, and operational discipline decide whether an AI feature survives contact with production. Baaz has shipped AI-assisted workflows across manufacturing, healthcare, and fintech—computer vision, NLP, ranking, and agent-style orchestration—always with an eye on what must be deterministic versus what can be probabilistic. This article walks the full arc: how to frame the problem before you pick tech, how data and deployment constraints shape model choice, how to ship a learning release safely, how to govern risk and privacy, and how to measure whether the business should double down or pivot. It is not a model leaderboard; it is a delivery playbook.

Step-by-step guide

How to Switch Software Development Vendors Without Losing Your Progress

Switching software vendors mid-project feels risky—but staying with a vendor that is not delivering is often riskier in expected value: every month of drift compounds technical debt, burns budget, and erodes trust with stakeholders who depend on the roadmap. The good news is that most codebases can be stabilised and extended without a full rewrite when the handoff is structured: secure access first, audit with neutral criteria, fix production and pipeline blockers, then resume feature work on a predictable cadence. Baaz starts more than half of engagements as mid-project takeovers; this playbook reflects what actually reduces drama during transitions—not generic advice to "just document more".

Deep-dive guide

Product Engineering Process for Enterprises

Chitresh · Co-founder & Engineering Lead

Enterprises need a product engineering process that balances speed with governance, innovation with stability. Waterfall binders fail because reality changes; pure startup-style chaos fails because audit, procurement, and legacy integration cannot be wished away. Baaz has delivered for large organisations on legacy modernisation, internal platforms, and customer-facing products—always with the same spine: align on outcomes early, design for verifiable releases, build with continuous quality, and launch in waves the business can absorb. This guide breaks down how we run discovery, design, engineering, adoption, and operations so delivery stays predictable under real enterprise constraints—not idealised ones.

Thought leadership

Software Development Outsourcing vs In-House: When Each Makes Sense

Chitresh · Co-founder & Engineering Lead

The outsourcing vs in-house debate is often framed as either/or. In practice, it is about fit: company stage, skills you already have, regulatory boundaries, and what you must own versus what you can rent. Most mature organisations end up hybrid—core platform in-house, targeted initiatives with partners, and clear rules for access, quality, and knowledge transfer. Baaz has shipped as an embedded product engineering partner since 2018 and has taken over more than half of our engagements mid-project when prior outsourcing went sideways; this article distills when each model wins, how hidden costs show up, how to run hybrid teams without chaos, and what to do when an outsourced programme stalls.

Pillar guide

How to Choose a Software Development Partner

Chitresh · Co-founder & Engineering Lead

Choosing a software development partner is one of the highest-leverage decisions you'll make. Get it right and you ship faster and smarter; get it wrong and you burn budget and time—often quietly, through rework, missed launches, and brittle systems that fail when users finally arrive. This guide is a practical buyer playbook: how to define scope before you talk to vendors, the questions that separate competent partners from polished sales decks, how culture and communication show up in delivery risk, and how contracts and access protect you when things go well—or when they don't. Baaz has partnered with startups and enterprises since 2018, including a large share of mid-project rescues; the patterns below are what we see separate successful engagements from expensive detours.

Listicle

Best Software Development Agencies for Startups: What to Look For

Chitresh · Co-founder & Engineering Lead

Startups need agencies that move fast, think in product terms, and don't hide behind process. There's no single 'best' list—it depends on your stage, stack, and culture. What you can judge objectively is whether a partner ships working software on a steady rhythm, whether you can speak to the people writing code, and whether their process turns uncertainty into a sequenced plan instead of endless meetings. This article walks through the criteria that actually predict outcomes: how to shortlist, how to compare proposals apples-to-apples, what engagement models fit pre-seed versus Series A, and how to avoid the failure modes we see when startups choose on logo or hourly rate alone. Baaz has worked with startups from idea to scale-up since 2018; the guidance below is what we wish every founding team had before signing.

Diagnostic guide

Signs Your Software Project Is Failing — And What to Do About It

Laxman Singh · Software Engineer

Majority of the doomed software development projects do not explode within one day. Their death is gradual- missing deadlines that have become the rule, vague progress reports that have become working demos, invoices that grow and visible progress that flattens, and an ever-increasing feeling that no one has any idea what done means anymore. It is not just money, you lose trust with customers, partners, and internal teams who rely on the roadmap. This article identifies the red flags that buyers tend to brush off, has a structural root cause (vendor-side and process-side), and outlines a pragmatic response plan: secure assets, seek a second opinion, stabilize before you add scope, and select rescue versus rebuild with evidence, rather than panic. Baaz notices these trends every day; more than half of what we do is mid-project rescue now that some other vendor lost their way.